Origins of choice-related activity in mouse somatosensory cortex
Open accessAbstract
During perceptual decisions about faint or ambiguous sensory stimuli, even identical stimuli can produce different choices. Spike trains from sensory cortex neurons can predict trial-to-trial variability in choice. Choice-related spiking is widely studied as a way to link cortical activity to perception, but its origins remain unclear. Using imaging and electrophysiology, we found that mouse primary somatosensory cortex neurons showed robust choice-related activity during a tactile detection task. Spike trains from primary mechanoreceptive neurons did not predict choices about identical stimuli. Spike trains from thalamic relay neurons showed highly transient, weak choice-related activity. Intracellular recordings in cortex revealed a prolonged choice-related depolarization in most neurons that was not accounted for by feed-forward thalamic input. Top-down axons projecting from secondary to primary somatosensory cortex signaled choice. An intracellular measure of stimulus sensitivity determined which neurons converted choice-related depolarization into spiking. Our results reveal how choice-related spiking emerges across neural circuits and within single neurons.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Correlation with choice is strongest for feedback S2-to-wS1 projecting neurons.
“Correlation with choice was found to be strongest for the feedback S2 to wS1 projecting neurons (23).”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [23]
The Results section, “Top-down feedback of choice-related activity to S1” (page unavailable), reports that S2-to-S1 axon activity predicted choice. The Discussion describes choice-related activity as prominent in this feedback pathway and relatively weak along the rapid feedforward pathway, but it does not establish that the S2-to-S1 projection had the strongest correlation with choice overall. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe primary sensory cortex not only retains relatively weak and sparse choice-related activity but also, in this naturalistic behavioral task, directly participates in categorical coding of an all-or-none decision variable into which the majority of neural populations are recruited.
“These observations indicate that the primary sensory cortex not only retains relatively weak and sparse choice-related activity, as it was shown previously (10, 11, 19–25), but also, in our naturalistic behavioral task, directly participates in a categorical coding of all-or-none DV into which the majority of neural populations are recruited.”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [23]
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredNeural activity in subpopulations of layer 2/3 wS1 neurons is correlated with behavioral choice.
“More recent experiments (22–25) have shown neural activity in subpopulations of layer 2/3 of wS1 neurons is correlated with behavioral choice.”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [23]
Sensory S1 and S2 cortices have strongly lateralized ipsilateral outputs and are densely and reciprocally interconnected, forming a top-down feedback loop that exhibits choice-related activity.
“In contrast, sensory S1 and S2 cortices have strongly lateralized ipsilateral outputs (43, 59) and are densely and reciprocally interconnected (60) forming a top–down feedback loop that exhibits choice-related activity (10, 11, 22–25).”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [23]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
A robust and high-throughput Cre reporting and characterization system for the whole mouse brain
Madisen, L., Zwingman, T. A., Sunkin, S. M., Oh, S. W., Zariwala, H. A., Gu, H., Ng, L. L., Palmiter, R. D., Hawrylycz, M. J., Jones, A. R., et al. (2010) · Nature Neuroscience · doi:10.1038/nn.2467 · Cited by 6,907 · see citing works
Ultrasensitive fluorescent proteins for imaging neuronal activity
Chen, T.-W., Wardill, T. J., Sun, Y., Pulver, S. R., Renninger, S. L., Baohan, A., Schreiter, E. R., Kerr, R. A., Orger, M. B., Jayaraman, V., et al. (2013) · Nature · doi:10.1038/nature12354 · Cited by 6,474 · cited 3× · see citing works
“GCaMP6s 26 was expressed under the human synapsin-1 promoter following infection with recombinant adeno-associated virus (serotype 2/1, Syn.”
InfluentialA toolbox of Cre-dependent optogenetic transgenic mice for light-induced activation and silencing
Madisen, L., Mao, T., Koch, H., Zhuo, J.-M., Berenyi, A., Fujisawa, S., Hsu, Y.-W. A., Garcia, A. J., Gu, X., Zanella, S., et al. (2012) · Nature Neuroscience · doi:10.1038/nn.3078 · Cited by 1,398 · see citing works
A Developmental Switch in the Response of DRG Neurons to ETS Transcription Factor Signaling
Hippenmeyer, S., Pecho‐Vrieseling, E., Sigrist, M., Portmann, T., Laengle, C., Ladle, D. R., & Arber, S. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030159 · Cited by 1,059 · see citing works
A relationship between behavioral choice and the visual responses of neurons in macaque MT
Britten, K. H., Newsome, W. T., Shadlen, M. N., Celebrini, S., & Movshon, J. A. (1996) · Visual Neuroscience · doi:10.1017/s095252380000715x · Cited by 1,049 · cited 6× · see citing works
“Neurons with higher choice probability tend to be more sensitive to the stimulus (e.g. have lower “neurometric” thresholds) 1,6,10,12,37 .”
InfluentialIntracellular dynamics of hippocampal place cells during virtual navigation
Harvey, C. D., Collman, F., Dombeck, D. A., & Tank, D. W. (2009) · Nature · doi:10.1038/nature08499 · Cited by 854 · cited 1× · see citing works
“Intracellular recording, recently possible in task-performing animals 19,32,33 , reveals the subthreshold membrane potential (V m ) dynamics that govern spiking.”
Shadlen, M., Britten, K., Newsome, W., & Movshon, J. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-04-01486.1996 · Cited by 824 · cited 2× · see citing works
“In addition, computational work suggests that choice probability is shaped by patterns of inter-neuronal correlations, which may differ across perceptual tasks 3,7,36,46,47 .”
A disinhibitory circuit mediates motor integration in the somatosensory cortex
Lee, S., Kruglikov, I., Huang, Z. J., Fishell, G., & Rudy, B. (2013) · Nature Neuroscience · doi:10.1038/nn.3544 · Cited by 758 · cited 1× · see citing works
“Additional long-range inputs to S1 may also play a role, for instance neuromodulatory 40 axons, projections from the higher-order posteromedial thalamic nucleus 41 , or top-down projections from other motor-sensory areas 34,42,43 .”
Flow of cortical activity underlying a tactile decision in mice
Guo, Z. V., Li, N., Huber, D., Ophir, E., Gutnisky, D., Ting, J. T., Feng, G., & Svoboda, K. (2014) · Neuron · doi:10.1016/j.neuron.2013.10.020 · Cited by 715 · see citing works
Broadly tuned response properties of diverse inhibitory neuron subtypes in mouse visual cortex
Kerlin, A. M., Andermann, M. L., Berezovskii, V. K., & Reid, R. C. (2010) · Neuron · doi:10.1016/j.neuron.2010.08.002 · Cited by 613 · see citing works
Multiple dynamic representations in the motor cortex during sensorimotor learning
Huber, D., Gutnisky, D. A., Peron, S., O’Connor, D. H., Wiegert, J. S., Tian, L., Oertner, T. G., Looger, L. L., & Svoboda, K. (2012) · Nature · doi:10.1038/nature11039 · Cited by 540 · cited 4× · see citing works
“The smaller piece (Fisher; number 2 thickness) was fitted into the craniotomy and the larger piece (number 1.5 thickness) was glued to the bone surrounding the craniotomy 48 .”
InfluentialSelf-citationFast modulation of visual perception by basal forebrain cholinergic neurons
Pinto, L., Goard, M. J., Estandian, D., Xu, M., Kwan, A. C., Lee, S.-H., Harrison, T. C., Feng, G., & Dan, Y. (2013) · Nature Neuroscience · doi:10.1038/nn.3552 · Cited by 529 · see citing works
Neural correlates of perceptual learning in a sensory-motor, but not a sensory, cortical area
Law, C.-T., & Gold, J. I. (2008) · Nature Neuroscience · doi:10.1038/nn2070 · Cited by 516 · cited 2× · see citing works
“If spike rate detect probability and stimulus probability are both determined by subthreshold stimulus sensitivity (V rev − V spike ), they should be correlated (cf. 1,6,10,12,37,38 ).”
Neural Activity in Barrel Cortex Underlying Vibrissa-Based Object Localization in Mice
O’Connor, D. H., Peron, S., Huber, D., & Svoboda, K. (2010) · Neuron · doi:10.1016/j.neuron.2010.08.026 · Cited by 453 · cited 3× · see citing works
“Silent cells 31 which spiked very sparsely or did not respond to whisker stimulation were avoided during the process of establishing the recording.”
InfluentialSelf-citationNeuronal correlates of decision-making in secondary somatosensory cortex
Romo, R., Hernández, A., Zainos, A., Lemus, L., & Brody, C. D. (2002) · Nature Neuroscience · doi:10.1038/nn950 · Cited by 387 · cited 1× · see citing works
“We did this to understand variability in cortical spike rate, which has been widely observed to predict choice 1,2,4,6–11,13,14 .”
Effects and Mechanisms of Wakefulness on Local Cortical Networks
Constantinople, C. M., & Bruno, R. M. (2011) · Neuron · doi:10.1016/j.neuron.2011.02.040 · Cited by 387 · cited 2× · see citing works
“This may have encouraged heightened levels of vigilance and/or affected neuromodulatory 40,50 systems that can alter neural variability.”
Membrane potential correlates of sensory perception in mouse barrel cortex
Sachidhanandam, S., Sreenivasan, V., Kyriakatos, A., Kremer, Y., & Petersen, C. C. H. (2013) · Nature Neuroscience · doi:10.1038/nn.3532 · Cited by 384 · cited 3× · see citing works
“Intracellular recording, recently possible in task-performing animals 19,32,33 , reveals the subthreshold membrane potential (V m ) dynamics that govern spiking.”
Coding of somatic sensory input by vibrissae neurons in the rat's trigeminal ganglion.
Zucker, E., & Welker, W. (1969) · Brain Research · doi:10.1016/0006-8993(69)90061-4 · Cited by 373 · see citing works
Decision-related activity in sensory neurons reflects more than a neuron’s causal effect
Nienborg, H., & Cumming, B. G. (2009) · Nature · doi:10.1038/nature07821 · Cited by 360 · cited 1× · see citing works
“This supports a prior finding of top-down contributions to choice probability in monkey visual cortex 8 , and is consistent with the stronger choice-related activity in S2 compared with S1 of monkeys 14 .”
Activity in motor-sensory projections reveals distributed coding in somatosensation
Petreanu, L., Gutnisky, D. A., Huber, D., Xu, N.-L., O’Connor, D. H., Tian, L., Looger, L., & Svoboda, K. (2012) · Nature · doi:10.1038/nature11321 · Cited by 347 · cited 3× · see citing works
“To investigate sources of choice-related activity other than feedforward 17 drive (cf. 8 ), we used two-photon calcium imaging during behavior to monitor top-down axons 34 projecting from secondary somatosensory (S2) cortex to layer 1 of S1 (Fig.”
Self-citationCelebrini, S., & Newsome, W. (1994) · Journal of Neuroscience · doi:10.1523/jneurosci.14-07-04109.1994 · Cited by 323 · cited 2× · see citing works
“We did this to understand variability in cortical spike rate, which has been widely observed to predict choice 1,2,4,6–11,13,14 .”
InfluentialNeuronal correlates of subjective sensory experience
de Lafuente, V., & Romo, R. (2005) · Nature Neuroscience · doi:10.1038/nn1587 · Cited by 319 · cited 2× · see citing works
“The extent to which different sensory brain areas show choice-related activity, and the role of task features, is an active topic of investigation 9,11,12,44,45 .”
Thalamic control of cortical states
Poulet, J. F. A., Fernandez, L. M. J., Crochet, S., & Petersen, C. C. H. (2012) · Nature Neuroscience · doi:10.1038/nn.3035 · Cited by 312 · cited 1× · see citing works
“Under isoflurane (1–2%), a craniotomy (~1 mm diameter) was made over the left hemisphere, centered at 1.8 mm posterior to bregma, 1.5 mm lateral to midline 54 .”
InfluentialMembrane potential dynamics of grid cells
Domnisoru, C., Kinkhabwala, A. A., & Tank, D. W. (2013) · Nature · doi:10.1038/nature11973 · Cited by 309 · cited 1× · see citing works
“Intracellular recording, recently possible in task-performing animals 19,32,33 , reveals the subthreshold membrane potential (V m ) dynamics that govern spiking.”
A functional link between area MSTd and heading perception based on vestibular signals
Gu, Y., DeAngelis, G. C., & Angelaki, D. E. (2007) · Nature Neuroscience · doi:10.1038/nn1935 · Cited by 297 · cited 3× · see citing works
“Choice-related activity (choice or detect probability > 0.5) has been observed in multiple sensory brain areas, including monkey extrastriate 1,2,4,6–10 and primary 11,12 visual cortex, monkey while mice performed the detection task using the single whisker in the neuron’s receptive field (Fig.”
InfluentialDynamics of neuronal responses in macaque MT and VIP during motion detection
Cook, E. P., & Maunsell, J. H. R. (2002) · Nature Neuroscience · doi:10.1038/nn924 · Cited by 289 · cited 5× · see citing works
“In the context of detection tasks, the same quantity is often referred to as “detect probability” (DP) 4,5 ; we adopt this convention here.”
InfluentialNeural correlate of subjective sensory experience gradually builds up across cortical areas
de Lafuente, V., & Romo, R. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605826103 · Cited by 287 · cited 3× · see citing works
“We did this to understand variability in cortical spike rate, which has been widely observed to predict choice 1,2,4,6–11,13,14 .”
Robust Odor Coding via Inhalation-Coupled Transient Activity in the Mammalian Olfactory Bulb
Cury, K. M., & Uchida, N. (2010) · Neuron · doi:10.1016/j.neuron.2010.09.040 · Cited by 271 · see citing works
Motor cortex feedback influences sensory processing by modulating network state
Zagha, E., Casale, A. E., Sachdev, R. N. S., McGinley, M. J., & McCormick, D. A. (2013) · Neuron · doi:10.1016/j.neuron.2013.06.008 · Cited by 268 · cited 1× · see citing works
“Additional long-range inputs to S1 may also play a role, for instance neuromodulatory 40 axons, projections from the higher-order posteromedial thalamic nucleus 41 , or top-down projections from other motor-sensory areas 34,42,43 .”
Sensory-evoked LTP driven by dendritic plateau potentials in vivo
Gambino, F., Pagès, S., Kehayas, V., Baptista, D., Tatti, R., Carleton, A., & Holtmaat, A. (2014) · Nature · doi:10.1038/nature13664 · Cited by 253 · cited 1× · see citing works
“Additional long-range inputs to S1 may also play a role, for instance neuromodulatory 40 axons, projections from the higher-order posteromedial thalamic nucleus 41 , or top-down projections from other motor-sensory areas 34,42,43 .”
Neural coding during active somatosensation revealed using illusory touch
O'Connor, D. H., Hires, S. A., Guo, Z. V., Li, N., Yu, J., Sun, Q.-Q., Huber, D., & Svoboda, K. (2013) · Nature Neuroscience · doi:10.1038/nn.3419 · Cited by 252 · cited 1× · see citing works
“Titanium headposts were implanted for head fixation 22 .”
Self-citationSynaptic Mechanisms Underlying Sparse Coding of Active Touch
Crochet, S., Poulet, J. F. A., Kremer, Y., & Petersen, C. C. H. (2011) · Neuron · doi:10.1016/j.neuron.2011.02.022 · Cited by 241 · cited 2× · see citing works
“7b) 18–21 .”
Layer I of primary sensory neocortex: where top-down converges upon bottom-up
Cauller, L. (1995) · Behavioural Brain Research · doi:10.1016/0166-4328(95)00032-1 · Cited by 225 · see citing works
Cohen, M. R., & Newsome, W. T. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.5179-08.2009 · Cited by 214 · cited 2× · see citing works
“In addition, computational work suggests that choice probability is shaped by patterns of inter-neuronal correlations, which may differ across perceptual tasks 3,7,36,46,47 .”
Decision-Related Activity in Sensory Neurons: Correlations Among Neurons and with Behavior
Nienborg, H., Cohen, M. R., & Cumming, B. G. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150403 · Cited by 199 · see citing works
Thalamic synchrony and the adaptive gating of information flow to cortex
Wang, Q., Webber, R. M., & Stanley, G. B. (2010) · Nature Neuroscience · doi:10.1038/nn.2670 · Cited by 166 · cited 3× · see citing works
“This transient difference was also apparent in a measure of thalamic synchrony 29,30 (Supplementary Fig.”
Inferring decoding strategies from choice probabilities in the presence of correlated variability
Haefner, R. M., Gerwinn, S., Macke, J. H., & Bethge, M. (2013) · Nature Neuroscience · doi:10.1038/nn.3309 · Cited by 161 · cited 2× · see citing works
“In addition, computational work suggests that choice probability is shaped by patterns of inter-neuronal correlations, which may differ across perceptual tasks 3,7,36,46,47 .”
Macaque V2 Neurons, But Not V1 Neurons, Show Choice-Related Activity
Nienborg, H., & Cumming, B. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.2256-06.2006 · Cited by 161 · cited 1× · see citing works
“The extent to which different sensory brain areas show choice-related activity, and the role of task features, is an active topic of investigation 9,11,12,44,45 .”
Gamma-range synchronization of fast-spiking interneurons can enhance detection of tactile stimuli
Siegle, J. H., Pritchett, D. L., & Moore, C. I. (2014) · Nature Neuroscience · doi:10.1038/nn.3797 · Cited by 135 · see citing works
How Can Single Sensory Neurons Predict Behavior?
Pitkow, X., Liu, S., Angelaki, D. E., DeAngelis, G. C., & Pouget, A. (2015) · Neuron · doi:10.1016/j.neuron.2015.06.033 · Cited by 129 · cited 2× · see citing works
“However, computational 46 and theoretical work 38,47 has shown that multiple factors, including both read-out strategies 47 and inter-neuronal correlations, can shape choice probability 3,7,36 .”
Linking Neuronal and Behavioral Performance in a Reaction-Time Visual Detection Task
Palmer, C., Cheng, S.-Y., & Seidemann, E. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.1940-07.2007 · Cited by 116 · see citing works
The adaptive trade-off between detection and discrimination in cortical representations and behavior
Ollerenshaw, D., Zheng, H. J. V., Millard, D. C., Wang, Q., & Stanley, G. B. (2014) · Neuron · doi:10.1016/j.neuron.2014.01.025 · Cited by 107 · cited 2× · see citing works
“This transient difference was also apparent in a measure of thalamic synchrony 29,30 (Supplementary Fig.”
Matéo, C., Avermann, M., Gentet, L. J., Zhang, F., Deisseroth, K. A., & Petersen, C. C. H. (2011) · Current Biology · doi:10.1016/j.cub.2011.08.028 · Cited by 100 · cited 1× · see citing works
“V rev is thus an intracellular measure of stimulus sensitivity 18–20 .”
Nienborg, H., & Cumming, B. G. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.05.002 · Cited by 98 · cited 3× · see citing works
“In addition, computational work suggests that choice probability is shaped by patterns of inter-neuronal correlations, which may differ across perceptual tasks 3,7,36,46,47 .”
Rapid Changes in Thalamic Firing Synchrony During Repetitive Whisker Stimulation
Temereanca, S., Brown, E., & Simons, D. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.1586-08.2008 · Cited by 80 · cited 1× · see citing works
“3c) 28 .”
SKIN MECHANORECEPTORS IN THE HUMAN HAND: NEURAL AND PSYCHOPHYSICAL THRESHOLDS
Vallbo, A., & Johansson, R. (1976) · Elsevier eBooks · doi:10.1016/b978-0-08-021208-1.50021-7 · Cited by 77 · see citing works
Nienborg, H., & Cumming, B. G. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.2340-13.2014 · Cited by 75 · cited 3× · see citing works
“The extent to which different sensory brain areas show choice-related activity, and the role of task features, is an active topic of investigation 9,11,12,44,45 .”
Choice-related activity and correlated noise in subcortical vestibular neurons
Liu, S., Gu, Y., DeAngelis, G. C., & Angelaki, D. E. (2012) · Nature Neuroscience · doi:10.1038/nn.3267 · Cited by 73 · cited 6× · see citing works
“Neurons with higher choice probability tend to be more sensitive to the stimulus (e.g. have lower “neurometric” thresholds) 1,6,10,12,37 .”
InfluentialNonlinear Integration of Sensory Responses in the Rat Barrel Cortex: An Intracellular StudyIn Vivo
Higley, M. J., & Contreras, D. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-32-10190.2003 · Cited by 70 · see citing works
Coordinated Population Activity Underlying Texture Discrimination in Rat Barrel Cortex
Safaai, H., von Heimendahl, M., Sorando, J. M., Diamond, M. E., & Maravall, M. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3486-12.2013 · Cited by 57 · cited 1× · see citing works
“More sophisticated analyses, such as those based on population decoding 48,49 or precise knowledge of network oscillations 24 , might reveal an influence of pre-stimulus brain state on perceptual choice.”
Bosking, W. H., & Maunsell, J. H. R. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.0126-11.2011 · Cited by 50 · cited 2× · see citing works
“Correlations between sensory neuron spike trains and behavioral choices are often quantified using “choice probability” 1 or “detect probability” 4,5 , the probability with which an ideal observer could predict behavioral choice based on neural activity evoked by identical stimuli.”
Detection of tactile inputs in the rat vibrissa pathway
Ollerenshaw, D. R., Bari, B. A., Millard, D. C., Orr, L. E., Wang, Q., & Stanley, G. B. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00004.2012 · Cited by 45 · see citing works
A Modality-Specific Feedforward Component of Choice-Related Activity in MT
Smolyanskaya, A., Haefner, R. M., Lomber, S. G., & Born, R. T. (2015) · Neuron · doi:10.1016/j.neuron.2015.06.018 · Cited by 35 · cited 1× · see citing works
“Trigeminal ganglion neurons had low baseline spike rates that did not differ between Hit and Miss trials (0.77 ± 20.1 vs 0.62 ± 28.4 Hz [median ± interquartile range], p = 0.55, two-tailed sign test, n = 17; Fig.”
InfluentialNeuronal thresholds and choice-related activity of otolith afferent fibers during heading perception
Yu, X.-J., Dickman, J. D., DeAngelis, G. C., & Angelaki, D. E. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1507402112 · Cited by 34 · cited 1× · see citing works
“Microneurography studies in humans 16 (and a recent study in monkeys: 39 ) have demonstrated the power of combining psychophysics with single-unit recording from primary afferents.”
Neural coding and perceptual detection in the primate somatosensory thalamus
Vázquez, Y., Zainos, A., Álvarez, M., Salinas, E., & Romo, R. (2012) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1212535109 · Cited by 33 · cited 1× · see citing works
“The extent to which different sensory brain areas show choice-related activity, and the role of task features, is an active topic of investigation 9,11,12,44,45 .”
Sensory Functions of the Skin of Primates with Special Reference to Man
Arndt, K., & Winkelmann, R. (1977) · Journal of Investigative Dermatology · doi:10.1111/1523-1747.ep12494595 · Cited by 25 · cited 2× · see citing works
“Microneurography studies in humans 16 (and a recent study in monkeys: 39 ) have demonstrated the power of combining psychophysics with single-unit recording from primary afferents.”
Reversible blockade of rodent whisking: Botulinum toxin as a tool for developmental studies
Landers, M., Pytte, C., & Zeigler, H. (2002) · Somatosensory & motor research · doi:10.1080/0899022021000037818 · Cited by 7
Flagged first, then by citations
5 of the 62 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- [55]Yizhar O Fenno LE Davidson TJ Mogri M Deisseroth K Optogenetics in neural systems Neuron 71 9 34 2011 21745635
Cited by
Sorted by citations
Distributed coding of choice, action and engagement across the mouse brain
Steinmetz, N. A., Zatka-Haas, P., Carandini, M., & Harris, K. D. (2019) · Nature · doi:10.1038/s41586-019-1787-x · Cited by 758 · see citing works
Sensorimotor processing in the rodent barrel cortex
Petersen, C. C. H. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0200-y · Cited by 271 · see citing works
Gao, Y., Ma, Y., Zhang, Q., Winder, A. T., Liang, Z., Antinori, L., Drew, P. J., & Zhang, N. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.069 · Cited by 216 · see citing works
Sensory and decision-related activity propagate in a cortical feedback loop during touch perception
Kwon, S. E., Yang, H., Minamisawa, G., & O'Connor, D. H. (2016) · Nature Neuroscience · doi:10.1038/nn.4356 · Cited by 210 · see citing works
Self-citationNeuronal circuits in barrel cortex for whisker sensory perception
Staiger, J. F., & Petersen, C. C. H. (2021) · Physiological Reviews · doi:10.1152/physrev.00019.2019 · Cited by 165 · see citing works
Chen, Q., Deister, C. A., Gao, X., Guo, B., Lynn-Jones, T., Chen, N.-Y., Wells, M. F., Liu, R., Goard, M. J., Dimidschstein, J., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0598-6 · Cited by 169 · see citing works
Competitive Disinhibition Mediates Behavioral Choice and Sequences in Drosophila
Jovanic, T., Schneider-Mizell, C. M., Shao, M., Masson, J., Denisov, G., Fetter, R. D., Mensh, B. D., Truman, J. W., Cardona, A., & Zlatic, M. (2016) · Cell · doi:10.1016/j.cell.2016.09.009 · Cited by 212 · see citing works
“The distribution of behavioral choice and choice-related activity across sensorimotor pathways (Nienborg et al., 2012; Yang et al., 2016) has been proposed within the non-hierarchical framework of decision-making to be a more rapid and flexible mechanism for incorporating internal, proprioceptive, and environmental co…”
BackgroundSimultaneous mesoscopic and two-photon imaging of neuronal activity in cortical circuits
Barson, D. G., Hamodi, A. S., Shen, X., Lür, G., Constable, R. T., Cardin, J. A., Crair, M. C., & Higley, M. J. (2019) · Nature Methods · doi:10.1038/s41592-019-0625-2 · Cited by 132 · see citing works
“Anatomical, electrophysiological, and imaging studies have demonstrated distinct local and large-scale connectivity associated with varied feature encoding even for neighboring neurons in a single region 6–10 .”
Behavioral Strategy Determines Frontal or Posterior Location of Short-Term Memory in Neocortex
Gilad, A., Gallero-Salas, Y., Groos, D., & Helmchen, F. (2018) · Neuron · doi:10.1016/j.neuron.2018.07.029 · Cited by 133 · see citing works
“Thus, consistent with previous reports (Chen et al., 2016; Yang et al., 2016), sensory-related posterior areas S1BC, S2, and RL encode choice shortly after touch for both behavioral strategies.”
Merre, P. L., Esmaeili, V., Charrière, E., Galan, K., Salin, P. A., Petersen, C. C. H., & Crochet, S. (2017) · Neuron · doi:10.1016/j.neuron.2017.11.031 · Cited by 164 · see citing works
“The late (100–200 ms) sensory-evoked response was significantly smaller for Miss trials in all areas, including wS1, consistent with previous findings (Sachidhanandam et al., 2013; Yang et al., 2016; Yamashita and Petersen, 2016).”
BackgroundMethodResultInfluentialInhibitory Circuits in Cortical Layer 5
Naka, A., & Adesnik, H. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2016.00035 · Cited by 130 · see citing works
“Despite this promiscuous connectivity, some studies suggest that the PV populationmay preferentially inhibit specific PC subtypes (Ye et al., 2015), though reports in L5 conflict over whether IT or PT cells receive more inhibition (Fariñas and DeFelipe, 1991; Lee et al., 2014; Rock and Apicella,…”
BackgroundLong-range population dynamics of anatomically defined neocortical networks
Chen, J. L., Voigt, F. F., Javadzadeh, M., Krueppel, R., & Helmchen, F. (2016) · eLife · doi:10.7554/elife.14679 · Cited by 128 · see citing works
“We find that S2S1 neurons exhibit prominent licking and decision-related activity, which is in line with recent evidence that behavior-related activity in S1 can be inherited from S2 (Yang et al., 2016).”
Slow insertion of silicon probes improves the quality of acute neuronal recordings
Fiáth, R., Márton, A. L., Mátyás, F., Pinke, D., Márton, G., Tóth, K., & Ulbert, I. (2019) · Scientific Reports · doi:10.1038/s41598-018-36816-z · Cited by 163 · see citing works
“…Etemadi et al., 2016 0.01 / 0.1 10 μm/s / 100 μm/s rat C bundles of parylene C coated platinum electrodes 54 Leiser and Moxon, 2006 0.01 / 0.1 10 μm/s / ~100 μm/s rat A epoxylite- insulated tungsten microelectrodes 55 Yang et al., 2016 0.01 / 0.05 - 0.1 10 μm/s / 50 -…”
InfluentialThe Cortical States of Wakefulness
Poulet, J. F. A., & Crochet, S. (2019) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2018.00064 · Cited by 119 · see citing works
“In a simple task, water-restricted head-fixed mice report the detection of a target sensory stimulus—a brief whisker deflection—by licking a water spout to obtain a small drop of water as a reward (Miyashita and Feldman, 2013; Sachidhanandam et al., 2013; Yang et al., 2016).”
BackgroundActive touch and self-motion encoding by Merkel cell-associated afferents
Severson, K. S., Xu, D., de Loo, M. M. V., Bai, L., Ginty, D., & O'Connor, D. H. (2017) · Neuron · doi:10.1016/j.neuron.2017.03.045 · Cited by 108 · see citing works
“Adult mice (6-18 weeks old) were implanted with titanium headposts (Yang et al., 2016).”
Self-citationEl‐Boustani, S., Sermet, B. S., Foustoukos, G., Oram, T. B., Yizhar, O., & Petersen, C. C. H. (2020) · Nature Communications · doi:10.1038/s41467-020-17087-7 · Cited by 135 · see citing works
Sensory coding and the causal impact of mouse cortex in a visual decision
Zatka-Haas, P., Steinmetz, N. A., Carandini, M., & Harris, K. D. (2021) · eLife · doi:10.7554/elife.63163 · Cited by 120 · see citing works
Michaelson, S. D., Ozkan, E. D., Aceti, M., Maity, S., Llamosas, N., Weldon, M., Mizrachi, E., Vaissière, T., Gaffield, M. A., Christie, J. M., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0268-0 · Cited by 109 · see citing works
Yamashita, T., & Petersen, C. C. (2016) · eLife · doi:10.7554/elife.15798 · Cited by 96 · see citing works
“Consistent with such a hypothesis involving reciprocal excitation between S1 and S2, axons from S2 innervating S1 were found to exhibit strong task-related hit vs miss modulation in a closely-related whisker detection task (Yang et al., 2016).”
BackgroundPupil diameter is not an accurate real-time readout of locus coeruleus activity
Megemont, M., McBurney-Lin, J., & Yang, H. (2022) · eLife · doi:10.7554/elife.70510 · Cited by 115 · see citing works
Self-citationWhole-Cell Recording of Neuronal Membrane Potential during Behavior
Petersen, C. C. H. (2017) · Neuron · doi:10.1016/j.neuron.2017.06.049 · Cited by 100 · see citing works
“Blind whole-cell recordings of the Vm correlates of tactile sensory perception have also been investigated in mice trained to lick a reward spout in response to detected whisker stimuli (Sachidhanandam et al., 2013; Zagha et al., 2015; Yang et al., 2016).”
Esmaeili, V., Tamura, K., Muscinelli, S. P., Modirshanechi, A., Boscaglia, M., Lee, A. B., Oryshchuk, A., Foustoukos, G., Liu, Y., Crochet, S., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.05.005 · Cited by 118 · see citing works
“This initial processing was essential as shown by optogenetic inactivation (Figure 7), and therefore wS1 and wS2 appear to form the cortical starting points for task execution, in agreement with previous studies of whisker detection tasks without a delay period (Kwon et al., 2016; Kyriakatos et al., 2017; Le Merre et…”
An analog of psychedelics restores functional neural circuits disrupted by unpredictable stress
Lu, J., Tjia, M., Mullen, B., Cao, B., Lukasiewicz, K., Shah-Morales, S., Weiser, S., Cameron, L. P., Olson, D. E., Chen, L., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01159-1 · Cited by 84 · see citing works
“We used receiver operating characteristic (ROC) analysis [57] to identify neurons responding to either novel or familiar texture, or both.”
MethodDiverse Long-Range Axonal Projections of Excitatory Layer 2/3 Neurons in Mouse Barrel Cortex
Yamashita, T., Vavladeli, A. D., Pala, A., Galan, K., Crochet, S., Petersen, S. S. A., & Petersen, C. (2018) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2018.00033 · Cited by 77 · see citing works
“, 2016), which might be supported through reciprocal excitation of S1 and S2 (Kwon et al., 2016; Yang et al., 2016).”
BackgroundMayrhofer, J. M., El‐Boustani, S., Foustoukos, G., Auffret, M., Tamura, K., & Petersen, C. C. H. (2019) · Neuron · doi:10.1016/j.neuron.2019.07.008 · Cited by 102 · see citing works
“Neuronal activity in wS1 has been shown to be involved in whisker-based decision-making tasks (Guo et al., 2014; Miyashita and Feldman, 2013; Sachidhanandam et al., 2013; Yang et al., 2016), thus providing a well-defined starting point for cortical processing of whisker-related information.”
Xin, Y., Zhong, L., Zhang, Y., Zhou, T., Pan, J.-W., & Xu, N.-L. (2019) · Neuron · doi:10.1016/j.neuron.2019.06.004 · Cited by 76 · see citing works
“Activity related to perceptual decisions in various sensory cortices has been widely reported in past decades (Britten et al., 1996; Celebrini and Newsome, 1994; Cohen and Newsome, 2009; Liu et al., 2013; Nienborg and Cumming, 2009; Nienborg et al., 2012; Romo et al., 2002; Tsunada et al., 2016; Yang et al., 2016).”
BackgroundAdrenergic Modulation Regulates the Dendritic Excitability of Layer 5 Pyramidal Neurons In Vivo
Labarrera, C., Deitcher, Y., Dudai, A., Weiner, B., Amichai, A. K., Zylbermann, N., & London, M. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.03.103 · Cited by 95 · see citing works
Layer 2/3 Pyramidal Neurons Control the Gain of Cortical Output
Quiquempoix, M., Fayad, S. L., Boutourlinsky, K., Leresche, N., Lambert, R. C., & Bessaïh, T. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.08.038 · Cited by 74 · see citing works
Context-Dependent Sensory Processing across Primary and Secondary Somatosensory Cortex
Condylis, C., Lowet, E., Ni, J., Bistrong, K., Ouellette, T., Josephs, N., & Chen, J. L. (2020) · Neuron · doi:10.1016/j.neuron.2020.02.004 · Cited by 77 · see citing works
“Heterogeneous Representation of Task-Related Information Although whisker S1 and S2 have been observed to encode stimulus and choicerelated activity (Chen et al., 2016; Kwon et al., 2016; Yamashita and Petersen, 2016; Yang et al., 2016), the extent to which more complex, context-modulated information is also present h…”
BackgroundNeural Circuits for Goal-Directed Sensorimotor Transformations
Crochet, S., Lee, S., & Petersen, C. C. H. (2018) · Trends in Neurosciences · doi:10.1016/j.tins.2018.08.011 · Cited by 69 · see citing works
Behaviorally relevant decision coding in primary somatosensory cortex neurons
Buetfering, C., Zhang, Z., Pitsiani, M., Smallridge, J., Boven, E., McElligott, S., & Häusser, M. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01151-0 · Cited by 59 · see citing works
A Non-canonical Feedback Circuit for Rapid Interactions between Somatosensory Cortices
Minamisawa, G., Kwon, S. E., Chevée, M., Brown, S. P., & O’Connor, D. H. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.04.115 · Cited by 65 · see citing works
“Given the strong modulation of wS2 neurons and of their feedback to wS1 during perceptual decisions (Chen et al., 2016; Kwon et al., 2016; Yang et al., 2016; Zuo et al., 2015), our data suggest that the S2L4 / S1 pathway may regulate wS1 feature sensitivity during behavior.”
BackgroundSelf-citationZaidel, A., DeAngelis, G. C., & Angelaki, D. E. (2017) · Nature Communications · doi:10.1038/s41467-017-00766-3 · Cited by 59 · see citing works
Jung, W. B., Jiang, H., Lee, S., & Kim, S. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2113313119 · Cited by 52 · see citing works
Zerlaut, Y., Telenczuk, B., Deleuze, C., Bal, T., Ouanounou, G., & Destexhe, A. (2016) · Journal of Physiology · doi:10.1113/jp272317 · Cited by 46 · see citing works
The locus coeruleus mediates behavioral flexibility
McBurney-Lin, J., Vargová, G., Garad, M., Zagha, E., & Yang, H. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111534 · Cited by 41 · see citing works
“Nevertheless, this task appears to be more demanding and challenging for the mice to learn compared with tactile detection tasks without a rule switch (e.g., Aruljothi et al., 2020; Yang et al., 2016), as mice can typically perform the latter at >70% within 2 weeks of training.”
InfluentialSelf-citationBarrel Cortex: What is it Good for?
Stüttgen, M. C., & Schwarz, C. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.05.009 · Cited by 44 · see citing works
Jin, T., Qi, W., Liang, X., Guo, H., Liu, Q., & Xi, L. (2021) · Laser & Photonics Review · doi:10.1002/lpor.202100304 · Cited by 42 · see citing works
What the whiskers tell the brain.
Campagner, D., Evans, M. H., Loft, M. S. E., & Petersen, R. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2017.08.005 · Cited by 43 · see citing works
“Second, and perhaps related, it has been observed that barrel cortex neurons of mice, trained to detect single-whisker deflections, exhibit non-sensory driven spiking, which correlates with animal choice (Yang et al., 2015).”
Borden, P. Y., Wright, N. C., Morrissette, A. E., Jaeger, D., Haider, B., & Stanley, G. B. (2022) · Neuron · doi:10.1016/j.neuron.2022.06.008 · Cited by 58 · see citing works
Schröder, P., Nierhaus, T., & Blankenburg, F. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.2950-20.2021 · Cited by 51 · see citing works
“…to primary somatosensory cortex in humans (Jones et al., 2007; Auksztulewicz et al., 2012; Auksztulewicz and Blankenburg, 2013), mice (Kwon et al., 2016; Yang et al., 2016), and macaques (Cauller and Kulics, 1991), supporting the role of local recurrent processing for somatosensory awareness.”
BackgroundThree challenges for connecting model to mechanism in decision-making
Churchland, A. K., & Kiani, R. (2016) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2016.06.008 · Cited by 41 · see citing works
Dynamic perceptual feature selectivity in primary somatosensory cortex upon reversal learning
Chéreau, R., Bawa, T., Fodoulian, L., Carleton, A., Pagès, S., & Holtmaat, A. (2019) · Nature Communications · doi:10.1038/s41467-020-17005-x · Cited by 35 · see citing works
Cortical sensory processing across motivational states during goal-directed behavior
Matteucci, G., Guyoton, M., Mayrhofer, J. M., Auffret, M., Foustoukos, G., Petersen, C. C. H., & El‐Boustani, S. (2022) · Neuron · doi:10.1016/j.neuron.2022.09.032 · Cited by 41 · see citing works
Probing Sensory Readout via Combined Choice-Correlation Measures and Microstimulation Perturbation
Yu, X., & Gu, Y. (2018) · Neuron · doi:10.1016/j.neuron.2018.08.034 · Cited by 47 · see citing works
“Generally, these signals are lacking in afferents (Yang et al., 2016; Yu et al., 2015) but begin to emerge and become stronger along the hierarchy of cortical stages, for example, from the primary sensory cortices to decision-related areas (de Lafuente and Romo, 2006; Hernández et al.”
Single-Cell Stimulation in Barrel Cortex Influences Psychophysical Detection Performance
Tanke, N., Borst, J. G. G., & Houweling, A. R. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2155-17.2018 · Cited by 36 · see citing works
“, 2016) and gets worse when multiple PV or somatostatin interneurons are optogenetically stimulated (Guo et al., 2014; Takahashi et al., 2016; Yang et al., 2016).”
BackgroundVoltage-sensitive dye imaging of mouse neocortex during a whisker detection task
Kyriakatos, A., Sadashivaiah, V., Zhang, Y., Motta, A., Auffret, M., & Petersen, C. (2016) · Neurophotonics · doi:10.1117/1.nph.4.3.031204 · Cited by 32 · see citing works
“This is in agreement with previous data from membrane potential recordings in S1 during closely related whisker detection tasks.(33,34,36) Within the imaged portion of the contralateral dorsal neocortex, the largest hit versus miss differences were located in the frontal cortex in regions surrounding whisker M1, locat…”
BackgroundResultYang, H., Bari, B. A., Cohen, J. Y., & O’Connor, D. H. (2021) · eLife · doi:10.7554/elife.64327 · Cited by 41 · see citing works
“Post-stimulus activity was calculated using a 200 ms window starting 20 ms after stimulus onset, before licking responses (Yang et al., 2016).”
BackgroundMethodResultInfluentialSelf-citationOrganization of Sensory Feature Selectivity in the Whisker System
Bale, M. R., & Maravall, M. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.09.014 · Cited by 31 · see citing works
“, 2013), including secondary somatosensory cortex (S2) (Yang et al., 2016; Kwon et al., 2016), posterior parietal cortex (PPC) (Mohan et al.”
A transthalamic pathway crucial for perception
Mo, C., McKinnon, C., & Murray Sherman, S. (2024) · Nature Communications · doi:10.1038/s41467-024-50163-w · Cited by 30 · see citing works
“S1 and S2 are the corticalorigins of perceptual activity during sensory decisions 29,35 – 37 .”
Neural basis of somatosensory target detection independent of uncertainty, relevance, and reports
Schröder, P., Schmidt, T. T., & Blankenburg, F. (2019) · eLife · doi:10.7554/elife.43410 · Cited by 36 · see citing works
“Such a mechanism might account for the early transformation from stimulus intensity to detection probability that we observed in SI and in fact, previous research on somatosensory target detection suggests that stimulus awareness is best captured in recurrent interactions between SI and SII (Auksztulewicz et al., 2012…”
BackgroundCoding of whisker motion across the mouse face
Severson, K. S., Xu, D., Yang, H.-D., & O'Connor, D. H. (2019) · eLife · doi:10.7554/elife.41535 · Cited by 29
“…51 (Campagner et al., 2016; Crochet and Petersen, 2006; Curtis and Kleinfeld, 2009; Fee et al., 52 1997; Hires et al., 2015; Khatri et al., 2009; Leiser and Moxon, 2007; Moore et al., 2015; 53 Severson et al., 2017; Szwed et al., 2003; Wallach et al., 2016; Yu et al., 2006; Yu et al., 2016).”
Self-citationHubatz, S., Hucher, G., Shulz, D., & Férézou, I. (2020) · Scientific Reports · doi:10.1038/s41598-020-57684-6 · Cited by 28 · see citing works
State-aware detection of sensory stimuli in the cortex of the awake mouse
Sederberg, A., Pala, A., Zheng, H. J. V., He, B. J., & Stanley, G. B. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006716 · Cited by 22 · see citing works
Whisker‐Implanted Biomimetic Electronic Skin for Tactile Sensing and Blind Perception
Zarei, M., Jeong, A. W., & Lee, S. G. (2024) · Advanced Science · doi:10.1002/advs.202408162 · Cited by 25 · see citing works
State-Dependent Changes in Perception and Coding in the Mouse Somatosensory Cortex
Lee, C. C. Y., Kheradpezhouh, E., Diamond, M. E., & Arabzadeh, E. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108197 · Cited by 46 · see citing works
Rich spatio-temporal stimulus dynamics unveil sensory specialization in cortical area S2
Goldin, M. A., Harrell, E. R., Estebanez, L., & Shulz, D. (2018) · Nature Communications · doi:10.1038/s41467-018-06585-4 · Cited by 28
de Haan, R., Lim, J., van der Burg, S., Pieneman, A. W., Nigade, V., Mansvelder, H. D., & de Kock, C. P. J. (2018) · Frontiers in Neural Circuits · doi:10.3389/fncir.2018.00075 · Cited by 14 · see citing works
Short time-scale sensory coding in S1 during discrimination of whisker vibrotactile sequences
McGuire, L. M., Telian, G., Laboy-Juárez, K. J., Miyashita, T., Lee, D. J., Smith, K. A., & Feldman, D. E. (2016) · PLOS Biology · doi:10.1371/journal.pbio.1002549 · Cited by 26 · see citing works
“In rodent S1, many L2/3 neurons exhibit choice-related spiking in near-threshold detection tasks [11,49].”
BackgroundSabri, E., & Arabzadeh, E. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.09.016 · Cited by 24 · see citing works
“Furthermore, trial-to-trial observation of neuronal activity reveals a high 469 degree of choice-related information in vS1 neurons (von Heimendahl et al., 2007; 470 Takahashi et al., 2016; Yang et al., 2016).”
Montijn, J. S., Olcese, U., & Pennartz, C. M. A. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.0853-16.2016 · Cited by 23 · see citing works
“Orientation coding and sequence consistency are uncorrelated It has been reported that neuronal population representations of stimulus features are more accurate during the detection of stimuli (Montijn et al., 2015; Yang et al., 2016).”
BackgroundDistinct contributions of mouse cortical areas to visual discriminationPreprint
Zatka-Haas, P., Steinmetz, N. A., Carandini, M., & Harris, K. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/501627 · Cited by 21 · see citing works
Oryshchuk, A., Sourmpis, C., Weverbergh, J., Asri, R., Esmaeili, V., Modirshanechi, A., Wulfram Gerstner, B., Petersen, C. C. H., & Crochet, S. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113618 · Cited by 42 · see citing works
VIP interneurons in sensory cortex encode sensory and action signals but not direct reward signals
Ramamurthy, D. L., Chen, A., Zhou, J., Park, C., Huang, P. C., Bharghavan, P., Krishna, G., Liu, J., Casale, K., & Feldman, D. E. (2023) · Current Biology · doi:10.1016/j.cub.2023.06.086 · Cited by 27 · see citing works
Kwon, S. E., Tsytsarev, V., Erzurumlu, R. S., & O’Connor, D. H. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.07.067 · Cited by 25 · see citing works
Self-citationCortical circuits for transforming whisker sensation into goal-directed licking
Esmaeili, V., Tamura, K., Foustoukos, G., Oryshchuk, A., Crochet, S., & Petersen, C. C. H. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.08.003 · Cited by 28 · see citing works
Distributed correlates of visually-guided behavior across the mouse brain
Steinmetz, N. A., Zatka-Haas, P., Carandini, M., & Harris, K. (2018) · bioRxiv · doi:10.1101/474437 · Cited by 21
Learning-related population dynamics in the auditory thalamus
Gilad, A., Maor, I., & Mizrahi, A. (2020) · eLife · doi:10.7554/elife.56307 · Cited by 30 · see citing works
“, 2014) bears similarity to the observations made in the cortex (Gilad et al., 2018; Guo et al., 2019; Harvey et al., 2012; Pho et al., 2018; Siegel et al., 2015; Yang et al., 2016), indicating the intimate involvement of thalamocortical loops during learning.”
BackgroundKoay, S. A., Thiberge, S. Y., Brody, C. D., & Tank, D. W. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/568766 · Cited by 17 · see citing works
A Reward-Based Behavioral Platform to Measure Neural Activity during Head-Fixed Behavior
Micallef, A., Takahashi, N., Larkum, M., & Palmer, L. (2017) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2017.00156 · Cited by 20 · see citing works
“This system interacts rapidly with the experimental subjects and therefore provides high-time-resolution measurements of the behavioral events to enable coordination with other recording devices such as electrophysiology and imaging (Erlich et al., 2011; Brunton et al., 2013; O’Connor et al., 2013; Yang et al., 2016).”
BackgroundInferring decoding strategies for multiple correlated neural populations
Lakshminarasimhan, K. J., Pouget, A., DeAngelis, G. C., Angelaki, D. E., & Pitkow, X. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006371 · Cited by 18 · see citing works
“[32] Other studies have considered that choice-related activity might arise from decision feedback[47,49,50].”
BackgroundCircuit mechanisms for cortical plasticity and learning
Chéreau, R., Williams, L. E., Bawa, T., & Holtmaat, A. J. D. G. (2021) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2021.07.012 · Cited by 25 · see citing works
From Neurons to Cognition: Technologies for Precise Recording of Neural Activity Underlying Behavior
Roth, R. H., & Ding, J. (2020) · BME Frontiers · doi:10.34133/2020/7190517 · Cited by 24 · see citing works
“Current technological innovations have further advanced our understanding of how neurons interact in dynamic circuits and how neural activity patterns are involved in behavioral and cognitive processes, such as sensory representation, motor control, or decision-making [10 – 12].”
BackgroundDynamic reorganization of the cortico-basal ganglia-thalamo-cortical network during task learning
Sych, Y., Fomins, A., Novelli, L., & Helmchen, F. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111394 · Cited by 21 · see citing works
Somatosensory cortical signature of facial nociception and vibrotactile touch–induced analgesia
Lu, J., Chen, B., Levy, M. S., Xu, P., Han, B.-X., Takatoh, J., Thompson, P. M., He, Z., Prevosto, V., & Wang, F. (2022) · Science Advances · doi:10.1126/sciadv.abn6530 · Cited by 23 · see citing works
“Thus, our 445 results, together with other studies on the role of S1 in decision making (47, 48), support the role 446 S1B L2/3 neurons’ population dynamics in integrating peripheral derived diverse somatosensory 447 stimuli and steering the brain states toward different actions.”
ResultSpatial integration during active tactile sensation drives orientation perception
Brown, J., Oldenburg, I., Telian, G., Griffin, S., Voges, M., Jain, V., & Adesnik, H. (2021) · Neuron · doi:10.1016/j.neuron.2021.03.020 · Cited by 17
Amplitude modulations of cortical sensory responses in pulsatile evidence accumulation
Koay, S. A., Thiberge, S. Y., Brody, C. D., & Tank, D. W. (2020) · eLife · doi:10.7554/elife.60628 · Cited by 17 · see citing works
“However, another large body of literature has demonstrated that sensory processing in even the earliest sensory cortices can be modified by various external and internal contexts, including motor feedback, temporal statistics, learned associations, and attentional control (Roelfsema and de Lange, 2016; Gilbert and Sig…”
BackgroundInfluentialSequence Learning Induces Selectivity to Multiple Task Parameters in Mouse Somatosensory Cortex
Bale, M. R., Bitzidou, M. P., Giusto, E., Kinghorn, P., & Maravall, M. (2020) · Current Biology · doi:10.1016/j.cub.2020.10.059 · Cited by 18 · see citing works
Long‐range cortical dynamics: a perspective from the mouse sensorimotor whisker system
Ni, J., & Chen, J. L. (2017) · European Journal of Neuroscience · doi:10.1111/ejn.13698 · Cited by 19 · see citing works
“Choice-related responses in S1S2 neurons appear to be inherited from S2 (Chen et al., 2016; Kwon et al., 2016; Yang et al., 2016).”
BackgroundLiu, Y., Bech, P., Tamura, K., Délez, L. T., Crochet, S., & Petersen, C. C. H. (2024) · bioRxiv · doi:10.1101/2024.03.21.586078 · Cited by 16 · see citing works
A transthalamic pathway crucial for perceptionPreprint
Mo, C., McKinnon, C., Makitani, M., & Sherman, S. (2023) · bioRxiv · doi:10.1101/2023.03.30.533323 · Cited by 16 · see citing works
“S1 and S2 are the cortical origins of perceptual activity during sensory decisions (Kwon et al., 2016; Yang et al., 2016; Esmaeili et al., 2021; Buetfering et al., 2022).”
BackgroundMethodCortical Localization of the Sensory-Motor Transformation in a Whisker Detection Task in Mice
Zareian, B., Zhang, Z., & Zagha, E. (2021) · eNeuro · doi:10.1523/eneuro.0004-21.2021 · Cited by 15 · see citing works
“However, our study and other studies of the mouse whisker system also show choice encoding in S1 (Sachidhanandam et al., 2013; Yang et al., 2015; Kwon et al., 2016; Aruljothi et al., 2020).”
BackgroundInfluentialDiamond, M. E., & Toso, A. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105161 · Cited by 15 · see citing works
Primary Tactile Thalamus Spiking Reflects Cognitive Signals
Waiblinger, C., Whitmire, C. J., Sederberg, A., Stanley, G. B., & Schwarz, C. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2403-17.2018 · Cited by 15 · see citing works
“This notion has been strengthened by a recent report demonstrating choice-related modification of stimulus-evoked response in the medial ventroposterior (VPm) thalamus, the tactile first-order stimulus of the whisker-related tactile system in rodents (Yang et al., 2016).”
BackgroundInfluentialMcBurney-Lin, J., Sun, Y., Tortorelli, L., Nguyen, Q. A. T., Haga-Yamanaka, S., & Yang, H.-D. (2020) · bioRxiv · doi:10.1101/2020.04.22.052043 · Cited by 14
“Trials were also considered impulsive when mice licked within the first 100 ms window from stimulus onset (Mayrhofer et al., 2013; Yang et al., 2016).”
BackgroundMethodResultInfluentialSelf-citationVavladeli, A. D., Daigle, T., Zeng, H., Crochet, S., & Petersen, C. (2020) · Function · doi:10.1093/function/zqaa008 · Cited by 14 · see citing works
Choice-Related Activity during Visual Slant Discrimination in Macaque CIP But Not V3A
Elmore, L. C., Rosenberg, A., DeAngelis, G. C., & Angelaki, D. E. (2019) · eNeuro · doi:10.1523/eneuro.0248-18.2019 · Cited by 18 · see citing works
“…(Britten et al., 1996; Haefner et al., 2013; Wimmer et al., 2015), but there is growing evidence that top-down (feedback) signals make important contributions to the presence of CPs (Nienborg and Cumming, 2009; Wimmer et al., 2015; Cumming and Nienborg, 2016; Kwon et al., 2016; Yang et al., 2016).”
BackgroundWide-field imaging in behaving mice as a tool to study cognitive function
Gilad, A. (2024) · Neurophotonics · doi:10.1117/1.nph.11.3.033404 · Cited by 10 · see citing works
Esmaeili, V., Oryshchuk, A., Asri, R., Tamura, K., Foustoukos, G., Liu, Y., Guiet, R., Crochet, S., & Petersen, C. C. H. (2022) · PLoS Biology · doi:10.1371/journal.pbio.3001667 · Cited by 19 · see citing works
Chen, A., Zeng, F., DeAngelis, G. C., & Angelaki, D. E. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.2275-20.2021 · Cited by 19 · see citing works
“…in part by showing that the correlated noise in populations of sensory neurons changes with attentional state or other task demands (Cohen and Newsome, 2008; Cohen and Maunsell, 2009; Mitchell et al., 2009; Nienborg and Cumming, 2009; Ruff and Cohen, 2014; Yang et al., 2016; Bondy et al., 2018).”
BackgroundState-dependent changes in perception and coding in the mouse somatosensory cortexPreprint
Lee, C. C. Y., Kheradpezhouh, E., Diamond, M. E., & Arabzadeh, E. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.24.264127 · Cited by 2 · see citing works
The secondary somatosensory cortex gates mechanical and heat sensitivity
Taub, D. G., Jiang, Q., Pietrafesa, F., Su, J., Carroll, A., Greene, C. A., Blanchard, M. R., Jain, A., El-Rifai, M., Callen, A., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-45729-7 · Cited by 21 · see citing works
“Previouslyde fi ned somatosensory cortical circuits which mitigate sensorimotor action originate fromthe primary somatosensorycortex (S1) 4,77 and exert action via direct or indirect spinal connections or through connections with the primary motor cortex (M1) 78 , or from S2 to S1/M1 13,14,40 .”
Gauld, O. M., Packer, A. M., Russell, L. E., Dalgleish, H. W. P., Iuga, M., Sacadura, F., Roth, A., Clark, B. A., & Häusser, M. (2024) · Neuron · doi:10.1016/j.neuron.2024.04.015 · Cited by 18 · see citing works
“The needle was retracted slowly 5 minutes after the injection was completed and a cranial window (made from a 3 mm circular glass cover slip glued onto a 4 mm circular glass cover slip with optical glue NOR-61, Norland Optical Adhesive) was press-fit into the craniotomy and sealed in place with…”
Itch perception is reflected by neuronal ignition in the primary somatosensory cortex
Chen, X.-J., Liu, Y., Xu, N.-L., & Sun, Y.-G. (2021) · National Science Review · doi:10.1093/nsr/nwab218 · Cited by 15 · see citing works
“The detection of perception-related activity in mouse S1 is consistent with previous studies showing that S1 neurons signal tactile perceptual choices and causally contribute to driving the subjective percept [17,18,37].”
Network influence determines the impact of cortical ensembles on stimulus detection
Bounds, H. A., & Adesnik, H. (2025) · Neuron · doi:10.1016/j.neuron.2025.04.023 · Cited by 19 · see citing works
“38,44,45 ‘‘Vi-sual sensitivity’’ was defined as the area under the ROC curve (AUC) minus 0.5.”
InfluentialNetwork influence determines the impact of cortical ensembles on stimulus detection
Bounds, H. A., & Adesnik, H. (2024) · bioRxiv · doi:10.1101/2024.08.18.608496 · Cited by 11
“We used receiver operating characteristic (ROC) analysis to measure how well the activity of an individual neuron can detect stimulus presence on a trial-by-trial basis 40,46,47 .”
Steinfeld, R., Tacão-Monteiro, A., & Renart, A. (2024) · Current Biology · doi:10.1016/j.cub.2024.04.040 · Cited by 17 · see citing works
“Choice-related activity in the superficial layers has been reported in go/no-go somatosensory, 9,25 auditory, 26 and visual tasks, 27 as well as in two-alternative auditory 28 and somatosensory 29 discrimination tasks.”
Ahn, S. Y., Jie, H., Jung, W., Jeong, J., Ko, S., Im, G. H., Park, W. S., Lee, J. H., Chang, Y. S., & Chung, S. (2021) · Experimental Neurology · doi:10.1016/j.expneurol.2021.113736 · Cited by 12 · see citing works
Sensing the Environment With Whiskers
Evans, M. H., Loft, M. S. E., Campagner, D., & Petersen, R. S. (2019) · Oxford Research Encyclopedia of Neuroscience · doi:10.1093/acrefore/9780190264086.013.226 · Cited by 9 · see citing works
Neuronal Assemblies Evidence Distributed Interactions within a Tactile Discrimination Task in Rats
Deolindo, C. S., Kunicki, A. C. B., da Silva, M. I., Brasil, F. L., & Moioli, R. C. (2018) · Frontiers in Neural Circuits · doi:10.3389/fncir.2017.00114 · Cited by 20 · see citing works
“…the stereotypical animal behavior observed in this task, brain dynamics may be sensitive to task performance levels but also to the different behavioral strategies developed by animals (Nienborg et al., 2012; Sachidhanandam et al., 2013; Manita et al., 2015; Siegel et al., 2015; Yang et al., 2015).”
Background
- Authors
- Yang, H., Kwon, S. E., Severson, K. S., & O'Connor, D. H.
- Affiliations
- Johns Hopkins University (US)
- Venue
- Nature Neuroscience
- Published
- 2015-12-07
- Volume
- 19
- Issue
- 1
- Pages
- 127-134
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC4696889
- OpenAlex
- W2211009999
- Cited by
- 180
- References
- 62
- Citations by year
- 2026: 13 · 2025: 12 · 2024: 21 · 2023: 13 · 2022: 15 · 2021: 22 · 2020: 21 · 2019: 17 · 2018: 16 · 2017: 17 · 2016: 13
- FWCI
- 9.22
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- National Institutes of Health
- National Institute of Neurological Disorders and Stroke (R01NS089652, P30NS050274, T32NS091018)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Keywords
- primary somatosensory cortex, perceptual decision making, tactile detection, trial-to-trial variability, thalamocortical neurons, top-down feedback, stimulus sensitivity, mice
- MeSH terms
- Animals, Behavior, Animal, Choice Behavior, Female, Male, Mechanoreceptors, Mice, Inbred C57BL, Neurons, Psychomotor Performance, Somatosensory Cortex, Vibrissae, Signal Detection, Psychological, Patch-Clamp Techniques, Ventral Thalamic Nuclei, Mice, Touch Perception, Electrophysiological Phenomena, Optogenetics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review