Flow of cortical activity underlying a tactile decision in mice
Open accessAbstract
Perceptual decisions involve distributed cortical activity. Does information flow sequentially from one cortical area to another, or do networks of interconnected areas contribute at the same time? Here we delineate when and how activity in specific areas drives a whisker-based decision in mice. A short-term memory component temporally separated tactile "sensation" and "action" (licking). Using optogenetic inhibition (spatial resolution, 2 mm; temporal resolution, 100 ms), we surveyed the neocortex for regions driving behavior during specific behavioral epochs. Barrel cortex was critical for sensation. During the short-term memory, unilateral inhibition of anterior lateral motor cortex biased responses to the ipsilateral side. Consistently, barrel cortex showed stimulus-specific activity during sensation, whereas motor cortex showed choice-specific preparatory activity and movement-related activity, consistent with roles in motor planning and movement. These results suggest serial information flow from sensory to motor areas during perceptual decision making.
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Peak 4 is likely to reflect participation of the primary somatosensory cortex in motor preparatory activity, often observed in higher motor cortices.
“Hence, peak 4 is likely to reflect participation of the primary somatosensory cortex in motor preparatory activity, often observed in higher motor cortices (12–14).”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [12]
In “Neuronal selectivity in vS1 and ALM” (page unavailable), the paper reports motor-preparatory activity in ALM, a motor cortical area. It instead describes vS1 activity as representing tactile information independent of motor choice. The paper therefore supports the comparison with motor cortex, but not the proposed interpretation of peak 4 as motor preparation in primary somatosensory cortex. (LLM, conf=0.86)
Experimental — accuracy not yet measuredSerial transformation of sensory inputs along bottom-up hierarchical pathways has been observed in rodents engaged in whisker-discrimination tasks, with increasingly stronger association with perceptual choice in S2 and premotor areas rather than wS1.
“Serial transformation of sensory inputs along bottom–up hierarchical pathways has been observed in rodents engaged in whisker-discrimination tasks (8, 9) with an increasingly stronger association with perceptual choice in S2 (10, 11) and premotor areas (12–14) rather than whisker-related wS1 (9).”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [12]
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Experimental — accuracy not yet measuredThis global regulation is unlikely to originate directly from frontal cortical premotor areas since frontal cortices have a high degree of symmetry for both ipsilateral and contralateral projections.
“Therefore, this global regulation is unlikely to originate directly from frontal cortical premotor areas (12–14) since frontal cortices have a high degree of symmetry for both ipsilateral and contralateral projections (59).”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [12]
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“In memory-guided response tasks, silencing the medial frontal cortex during the delay period led to a choice bias consistent with contralateral neglect [55,56].”
BackgroundSensorimotor 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
Cortex commands the performance of skilled movement
Guo, J.-Z., Graves, A., Guo, W. W., Zheng, J.-H., Lee, A., Rodríguez-González, J., Li, N., Macklin, J., Phillips, J. W., Mensh, B. D., et al. (2015) · eLife · doi:10.7554/elife.10774 · Cited by 239 · see citing works
Self-citationDelay activity of specific prefrontal interneuron subtypes modulates memory-guided behavior
Kamigaki, T., & Dan, Y. (2017) · Nature Neuroscience · doi:10.1038/nn.4554 · Cited by 208 · see citing works
Value-guided remapping of sensory cortex by lateral orbitofrontal cortex
Banerjee, A., Parente, G., Teutsch, J., Lewis, C., Voigt, F. F., & Helmchen, F. (2020) · Nature · doi:10.1038/s41586-020-2704-z · Cited by 199 · see citing works
Aberrant Cortical Activity in Multiple GCaMP6-Expressing Transgenic Mouse Lines
Steinmetz, N. A., Buetfering, C., Lecoq, J. A., Lee, C. R., Peters, A. J., Jacobs, E. A. K., Coen, P., Ollerenshaw, D. R., Valley, M. T., de Vries, S. E. J., et al. (2017) · eNeuro · doi:10.1523/eneuro.0207-17.2017 · Cited by 247 · see citing works
“The clear skull cap implantation followed the method of Guo et al. (2014) but with some modifications.”
MethodCracking the Neural Code for Sensory Perception by Combining Statistics, Intervention, and Behavior
Panzeri, S., Harvey, C. D., Piasini, E., Latham, P. E., & Fellin, T. (2017) · Neuron · doi:10.1016/j.neuron.2016.12.036 · Cited by 227 · see citing works
“In one, the experimenter mainly tries to “bias” (Guo et al., 2014; Li et al., 2015; O'Connor et al., 2013) the neural activity (Fig.”
InfluentialGoard, M. J., Pho, G. N., Woodson, J., & Sur, M. (2016) · eLife · doi:10.7554/elife.13764 · Cited by 207 · see citing works
Intact skull chronic windows for mesoscopic wide-field imaging in awake mice
Silasi, G., Xiao, D., Vanni, M. P., Chen, A. C. N., & Murphy, T. H. (2016) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2016.04.012 · Cited by 205 · see citing works
“Several research groups began to take advantage of the semi-transparent nature of the mouse skull by generating large, bi-hemispheric windows through either the intact (Guo et al., 2014), or partially thinned skull (Silasi et al.”
BackgroundA Map of Anticipatory Activity in Mouse Motor Cortex
Chen, T., Li, N., Daie, K., & Svoboda, K. (2017) · Neuron · doi:10.1016/j.neuron.2017.05.005 · Cited by 218 · see citing works
“Consistent with previous studies, the activity of a large proportion of neurons distinguished between trial types in MM (23%, 1,523/6,594) (Erlich et al., 2011; Goard et al., 2016; Huber et al., 2012) and ALM (31%, 2,754/8,837) (Guo et al., 2014b; Li et al., 2015).”
BackgroundMethodResultInfluentialSelf-citationSensory 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
Reciprocal Circuits Linking the Prefrontal Cortex with Dorsal and Ventral Thalamic Nuclei
Collins, D. P., Anastasiades, P. G., Marlin, J. J., & Carter, A. G. (2018) · Neuron · doi:10.1016/j.neuron.2018.03.024 · Cited by 231 · see citing works
“…have focused on direct thalamo-cortical loops (Bolkan et al., 2017; Guo et al., 2017; Schmitt et al., 2017), or direct cortico-cortical pathways (Guo et al., 2014; Mao et al., 2011; Suter and Shepherd, 2015; Zagha et al., 2013), indirect cortico-thalamo-cortical relays may also be important…”
Medial prefrontal activity during delay period contributes to learning of a working memory task
Liu, D., Gu, X., Zhu, J., Zhang, X., Han, Z., Yan, W., Cheng, Q., Hao, J., Fan, H., Hou, R., et al. (2014) · Science · doi:10.1126/science.1256573 · Cited by 213 · see citing works
The mouse prefrontal cortex: Unity in diversity
Le Merre, P., Ährlund-Richter, S., & Carlén, M. (2021) · Neuron · doi:10.1016/j.neuron.2021.03.035 · Cited by 207 · see citing works
Geometric deep learning enables 3D kinematic profiling across species and environments
Dunn, T., Marshall, J. D., Severson, K. S., Aldarondo, D. E., Hildebrand, D. G. C., Chettih, S. N., Wang, W. L., Gellis, A., Carlson, D., Aronov, D., et al. (2021) · Nature Methods · doi:10.1038/s41592-021-01106-6 · Cited by 199 · see citing works
“However, precise measurements of 3D kinematics and behavioral type have thus far been limited to constrained environments and a limited subset of behaviors 25,26 .”
BackgroundHigh-Yield Methods for Accurate Two-Alternative Visual Psychophysics in Head-Fixed Mice
Burgess, C., Lak, A., Steinmetz, N. A., Zatka-Haas, P., Reddy, C. B., Jacobs, E. A. K., Linden, J. F., Paton, J. J., Ranson, A., Schröder, S., et al. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.08.047 · Cited by 167 · see citing works
“channelrhodopsin-2 (ChR2) in Pvalb-positive inhibitory interneurons, implanted with clear skull caps (Lien and Scanziani, 2013; Guo et al., 2014b).”
BackgroundMethodInfluentialA brain-wide map of neural activity during complex behaviour
Meshulam, L., Angelaki, D. E., Benson, J., McRoberts, I., Noel, J., Arlandis, J., Bonacchi, N., Bougrova, K., Catarino, J. A., Cazettes, F., et al. (2025) · Nature · doi:10.1038/s41586-025-09235-0 · Cited by 210 · see citing works
“Similar responses were found in rodent parietal 57 , frontal 58,59 and premotor 60,61 cortical regions.”
Self-citationInhibitory circuit gating of auditory critical-period plasticity
Takesian, A. E., Bogart, L. J., Lichtman, J. W., & Hensch, T. K. (2018) · Nature Neuroscience · doi:10.1038/s41593-017-0064-2 · Cited by 173 · see citing works
Pyramidal cell types drive functionally distinct cortical activity patterns during decision-making
Musall, S., Sun, X. R., Mohan, H., An, X., Gluf, S., Li, S.-J., Drewes, R., Cravo, E., Lenzi, I., Yin, C., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-022-01245-9 · Cited by 81 · see citing works
Somatosensory Cortex Plays an Essential Role in Forelimb Motor Adaptation in Mice
Mathis, M. W., Mathis, A., & Uchida, N. (2017) · Neuron · doi:10.1016/j.neuron.2017.02.049 · Cited by 193 · see citing works
“We employed transgenic mice expressing channelrhodopsin-2 (ChR2) inGABAergicneuronsand implantedwithanoptical fiber in forelimb area of S1 contralateral to the forelimb they used (Guo et al., 2014; Zhao et al., 2011, Figure S4, STAR Methods), to perform the adaptation task.”
Spatiotemporal constraints on optogenetic inactivation in cortical circuits
Li, N., Chen, S., Guo, Z. V., Chen, H., Huo, Y., Inagaki, H., Chen, G., Davis, C., Hansel, D., Guo, C., et al. (2019) · eLife · doi:10.7554/elife.48622 · Cited by 215 · see citing works
“Photostimulation of the GABAergic neurons potently inhibits local pyramidal neurons and thereby removes excitatory output from the photoinhibited brain region (Cardin et al., 2009; Guo et al., 2014b; Olsen et al., 2012).”
BackgroundMethodInfluentialSelf-citationCerebellar contribution to preparatory activity in motor neocortex
Chabrol, F. P., Blot, A., & Mrsic-Flogel, T. D. (2019) · Neuron · doi:10.1016/j.neuron.2019.05.022 · Cited by 182 · see citing works
“…confirm that the activity of type 1 and 2 ALM neurons before reward acquisition does not reflect motor action or sensory input per se but instead is consistent with preparatory activity building up in anticipation of licking for reward, as described previously (Guo et al., 2014; Li et al., 2015).”
ResultNeuronal 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
Connectivity of mouse somatosensory and prefrontal cortex examined with trans-synaptic tracing
DeNardo, L. A., Berns, D. S., DeLoach, K. E., & Luo, L. (2015) · Nature Neuroscience · doi:10.1038/nn.4131 · Cited by 173 · see citing works
Origins of choice-related activity in mouse somatosensory cortex
Yang, H., Kwon, S. E., Severson, K. S., & O'Connor, D. H. (2016) · Nature Neuroscience · doi:10.1038/nn.4183 · Cited by 180 · see citing works
Recruitment of GABAergic Interneurons in the Barrel Cortex during Active Tactile Behavior
Yu, J., Hu, H., Agmon, A., & Svoboda, K. (2019) · Neuron · doi:10.1016/j.neuron.2019.07.027 · Cited by 186 · see citing works
“The whisker somatosensory (barrel) cortex participates in active tactile sensation (Guo et al., 2014a; Hong et al., 2018; O’Connor et al., 2010a, 2013).”
BackgroundSelf-citationStable representations of decision variables for flexible behavior
Bari, B. A., Grossman, C. D., Lubin, E. E., Rajagopalan, A. E., Cressy, J. I., & Cohen, J. Y. (2019) · Neuron · doi:10.1016/j.neuron.2019.06.001 · Cited by 173 · see citing works
“ALM (the tongue premotor cortex), which is necessary for generating reward-guided licks (Komiyama et al., 2010; Guo et al., 2014; Li et al., 2015).”
BackgroundNeural underpinnings of the evidence accumulator
Brody, C. D., & Hanks, T. D. (2016) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2016.01.003 · Cited by 184 · see citing works
Vanni, M. P., & Murphy, T. H. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1818-14.2014 · Cited by 168 · see citing works
“Sensory mapping in Emx-GCaMP mice through an intact skull chronic window To record GCaMP3 fluorescence over several 10s of millimeters squared with minimal invasiveness, the skin over the skull was removed and replaced by transparent dental cement and a coverslip on the intact skull (Hira et al., 2009; Silasi et al.,…”
BackgroundMethodInfluentialGoel, A., Cantu, D. A., Guilfoyle, J. L., Chaudhari, G., Newadkar, A., Todisco, B., de Alba, D., Kourdougli, N., Schmitt, L., Pedapati, E. V., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0231-0 · Cited by 177 · see citing works
A comparison of neuronal population dynamics measured with calcium imaging and electrophysiology
Wei, Z., Lin, B., Chen, T., Daie, K., Svoboda, K., & Druckmann, S. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008198 · Cited by 173 · see citing works
Self-citationHigher-Order Thalamic Circuits Channel Parallel Streams of Visual Information in Mice
Bennett, C., Gale, S. D., Garrett, M., Newton, M. L., Callaway, E. M., Murphy, G. J., & Olsen, S. R. (2019) · Neuron · doi:10.1016/j.neuron.2019.02.010 · Cited by 156 · see citing works
“In separate mice not used for SC or LP recordings, we measured the lateral spread of cortical silencing using one fiber at 2.5 mW. Consistent with other studies (Guo et al., 2014), we found significant silencing at 1 mm and near complete silencing at 0.5 mm lateral from the fiber tip.”
InfluentialPrediction signals in the cerebellum: Beyond supervised motor learning
Hull, C. (2020) · eLife · doi:10.7554/elife.54073 · Cited by 196 · see citing works
“This neocortical region is involved in motor planning, and exhibits persistent ramping activity prior to movement that is necessary for accurate motor performance (Guo et al., 2014; Li et al., 2016).”
BackgroundVanni, M. P., Chan, A. W., Balbi, M., Silasi, G., & Murphy, T. H. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3560-16.2017 · Cited by 149 · see citing works
“After locally anesthetizing the scalp with lidocaine (0.1 ml, 0.2%), the skin covering the skull was removed and replaced by transparent dental cement and a glass coverslip (Hira et al., 2009; Guo et al., 2014; Silasi et al., 2016).”
BackgroundMethodInfluentialMovement and Performance Explain Widespread Cortical Activity in a Visual Detection Task
Salkoff, D. B., Zagha, E., McCarthy, E., & McCormick, D. A. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz206 · Cited by 153 · see citing works
“In cerebral cortex, these transformations evolve over time and space as information is passed from sensory to motor regions (de Lafuente and Romo 2006; Guo et al. 2014; Siegel et al. 2015).”
BackgroundResultInfluentialLuan, L., Robinson, J. T., Aazhang, B., Chi, T., Yang, K., Li, X., Rathore, H., Singer, A., Yellapantula, S., Fan, Y., et al. (2020) · Neuron · doi:10.1016/j.neuron.2020.10.011 · Cited by 150 · see citing works
“Optical imaging techniques such as widefield and multi-photon calcium imaging (Guo et al., 2014; Helmchen and Denk, 2005; Stosiek et al., 2003) have become extremely powerful in resolving neural activity over largescale networks.”
BackgroundPosterior Parietal Cortex Guides Visual Decisions in Rats
Licata, A., Kaufman, M. T., Raposo, D. C., Ryan, M., Sheppard, J. P., & Churchland, A. K. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.0105-17.2017 · Cited by 148 · see citing works
“The measurements made to estimate light spread using these calculators are extensive, including measurements both in vivo (Guo et al., 2014) and in slice (Aravanis et al., 2007; Huber et al., 2008).”
BackgroundMethodResultInfluentialA midbrain-thalamus-cortex circuit reorganizes cortical dynamics to initiate movement
Inagaki, H., Chen, S., Ridder, M. C., Sah, P., Li, N., Yang, Z., Hasanbegović, H., Gao, Z., Gerfen, C. R., & Svoboda, K. (2022) · Cell · doi:10.1016/j.cell.2022.02.006 · Cited by 207 · see citing works
“Cortical activity then changes rapidly and profoundly just before movement onset (Guo et al., 2014b; Kaufman et al., 2014, 2016).”
InfluentialSelf-citationHistory-based action selection bias in posterior parietal cortex
Hwang, E. J., Dahlen, J. E., Mukundan, M., & Komiyama, T. (2017) · Nature Communications · doi:10.1038/s41467-017-01356-z · Cited by 152 · see citing works
Behaviorally Selective Engagement of Short-Latency Effector Pathways by Motor Cortex
Miri, A., Warriner, C. L., Seely, J., Elsayed, G. F., Cunningham, J. P., Churchland, M. M., & Jessell, T. M. (2017) · Neuron · doi:10.1016/j.neuron.2017.06.042 · Cited by 175 · see citing works
“We used a light intensity (10 mW/mm2) sufficient to cause nearly complete cessation of firing among putative vGAToff neurons throughout motor cortical layers (Figures S2B–S2E; Guo et al., 2014b).”
InfluentialBehavioral 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
“Previous work showed that sensory information is represented and processed mainly in the posterior sensory cortices (Goard et al., 2016; Guo et al., 2014; Kwon et al., 2016; Miyashita and Feldman, 2013; Poort et al., 2015; Zhang et al., 2014), whereas action planning and preparation of movement execution are encoded i…”
InfluentialMotor cortex — to act or not to act?
Ebbesen, C. L., & Brecht, M. (2017) · Nature reviews. Neuroscience · doi:10.1038/nrn.2017.119 · Cited by 152 · see citing works
Anatomically segregated basal ganglia pathways allow parallel behavioral modulation
Lee, J., Wang, W., & Sabatini, B. L. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00712-5 · Cited by 158 · see citing works
Learning in the Rodent Motor Cortex
Peters, A. J., Liu, H., & Komiyama, T. (2017) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-072116-031407 · Cited by 148 · see citing works
“…that activity prior to movement (Murakami et al. 2014, Storozhuk et al. 1984) and its importance in memory-guided behavior (Goard et al. 2016, Guo et al. 2014), the predominance of activity during phasic as opposed to tonic muscle contractions (Zhuravin & Bures 1989), and the temporal…”
BackgroundMerre, 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
“wS1/wS2 project to various other brain regions that might contribute to task execution, including frontal cortex (Guo et al., 2014), striatum (Sippy et al.”
BackgroundInfluentialTop-down cortical input during NREM sleep consolidates perceptual memory
Miyamoto, D., Hirai, D., Fung, C. C. A., Inutsuka, A., Odagawa, M., Suzuki, T., Boehringer, R., Adaikkan, C., Matsubara, C., Matsuki, N., et al. (2016) · Science · doi:10.1126/science.aaf0902 · Cited by 135 · see citing works
“For each unit, spike width was computed as the trough to peak interval in the mean spike waveform (39).”
Meissner corpuscles and their spatially intermingled afferents underlie gentle touch perception
Neubarth, N. L., Emanuel, A. J., Liu, Y., Springel, M. W., Handler, A., Zhang, Q., Lehnert, B. P., Guo, C., Orefice, L. L., Abdelaziz, A., et al. (2020) · Science · doi:10.1126/science.abb2751 · Cited by 139 · see citing works
“Animals were monitored for health conditions every training and testing day using a detailed health assessment adapted for water deprived mice (39).”
MethodArea-Specificity and Plasticity of History-Dependent Value Coding During Learning
Hattori, R., Danskin, B. P., Babic, Z., Mlynaryk, N., & Komiyama, T. (2019) · Cell · doi:10.1016/j.cell.2019.04.027 · Cited by 151 · see citing works
“We quantified population coding of each type of history information between early and expert sessions with the same methodology used in Figure 2F. Strikingly, in early sessions, we found that long (% t-2) history coding in these areas was indistinguishable from each other, and short (t-1) history for rewarded choice a…”
InfluentialSensation Movement and Learning in the Absence of Barrel Cortex
Hong, Y., Lacefield, C., Rodgers, C. C., & Bruno, R. M. (2018) · Nature · doi:10.1038/s41586-018-0527-y · Cited by 138 · see citing works
Dopaminergic and Prefrontal Basis of Learning from Sensory Confidence and Reward Value
Lak, A., Okun, M., Moss, M. M., Gurnani, H., Farrell, K., Wells, M. J., Reddy, C. B., Kepecs, Á., Harris, K. D., & Carandini, M. (2019) · Neuron · doi:10.1016/j.neuron.2019.11.018 · Cited by 128 · see citing works
“We tested these predictions through optogenetic inactivation inmice expressing Channelrhodopsin-2 (Chr2) inPvalb-expressing inhibitory neurons of mPFC (Figures 4A and 4B; Figure S4A) (Guo et al., 2014; Olsen et al., 2012).”
Attractor dynamics gate cortical information flow during decision-making
Finkelstein, A., Fontolan, L., Economo, M. N., Li, N., Romani, S., & Svoboda, K. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00840-6 · Cited by 130 · see citing works
“Selectivity in vS1 and ALM could encode sensory evidence or the chosen action (27, 28, 8).”
BackgroundMethodInfluentialSelf-citationFunctional clustering of dendritic activity during decision-making
Kerlin, A. M., Mohar, B., Flickinger, D., MacLennan, B. J., Dean, M. B., Davis, C., Spruston, N., & Svoboda, K. (2018) · bioRxiv · doi:10.1101/440396 · Cited by 132
“We imaged calcium-dependent fluorescence changes (‘calcium transients’) in the dendrites of GCaMP6f-expressing neurons in the anterior lateral motor (ALM) cortex of mice performing a tactile delayed-response task (Guo et al., 2014b).”
InfluentialSelf-citationHooks, B. M., Papale, A. E., Paletzki, R. F., Feroze, M. W., Eastwood, B. S., Couey, J. J., Winnubst, J., Chandrashekar, J. V., & Gerfen, C. R. (2018) · Nature Communications · doi:10.1038/s41467-018-05780-7 · Cited by 149 · see citing works
Task-dependent representations of stimulus and choice in mouse parietal cortex
Pho, G. N., Goard, M. J., Woodson, J., Crawford, B., & Sur, M. (2018) · Nature Communications · doi:10.1038/s41467-018-05012-y · Cited by 123 · see citing works
Recurrent interactions in local cortical circuits
Peron, S., Pancholi, R., Voelcker, B., Wittenbach, J. D., Ólafsdóttir, H. F., Freeman, J., & Svoboda, K. (2020) · Nature · doi:10.1038/s41586-020-2062-x · Cited by 119 · see citing works
Self-citationIndicators and criteria of consciousness in animals and intelligent machines: an inside-out approach
Pennartz, C. M. A., Farisco, M., & Evers, K. (2019) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2019.00025 · Cited by 121 · see citing works
“Moreover, rodents display superb detection and/or discrimination sensitivity in several non-visual modalities (e.g., olfaction, hearing and somatosensation; Fay, 1988; van Duuren et al., 2007; Guo et al., 2014).”
Mapping cortical mesoscopic networks of single spiking cortical or sub-cortical neurons
Xiao, D., Vanni, M. P., Mitelut, C., Chan, A. W., LeDue, J. M., Xie, Y., Chen, A. C. N., Swindale, N. V., & Murphy, T. H. (2017) · eLife · doi:10.7554/elife.19976 · Cited by 127 · see citing works
“…changes in the barrel and motor cortex, as well as showing signals in homotopic areas of both hemispheres, consistent with the previously observed pattern of long-distance connections (Ferezou et al., 2007; Mohajerani et al., 2013; Guo et al., 2014; Vanni and Murphy, 2014; Chan et al., 2015).”
BackgroundMethodInfluentialAnenberg, E., Chan, A. W., Xie, Y., LeDue, J. M., & Murphy, T. H. (2015) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2015.140 · Cited by 116 · see citing works
Brain-wide neural activity underlying memory-guided movement
Chen, S.-S., Liu, Y., Wang, Z. A., Colonell, J., Liu, L. D., Hou, H., Tien, N.-W., Wang, T., Harris, T., Druckmann, S., et al. (2023) · bioRxiv · doi:10.1101/2023.03.01.530520 · Cited by 121
Self-citationInput- and Output-Specific Regulation of Serial Order Performance by Corticostriatal Circuits
Rothwell, P. E., Hayton, S. J., Sun, G. L., Fuccillo, M. V., Lim, B. K., & Malenka, R. C. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.035 · Cited by 129 · see citing works
“As portions of motor cortex are implicated in action initiation (Erlich et al., 2011; Guo et al., 2014; Murakami et al., 2014) and organization (Cao et al.”
Neural coding in barrel cortex during whisker-guided locomotion
Sofroniew, N., Vlasov, Y. A., Hires, S. A., Freeman, J., & Svoboda, K. (2015) · eLife · doi:10.7554/elife.12559 · Cited by 117 · see citing works
“Laser light was focused on the skull, ’photoinhibiting’ all cortical layers across a 2-mm-diameter area within 20 ms of laser onset, which was reversed within 150 ms after laser offset (Guo et al., 2014).”
BackgroundMethodInfluentialSelf-citationThe mouse posterior parietal cortex: Anatomy and functions.
Lyamzin, D., & Benucci, A. (2019) · Neurosciences research · doi:10.1016/j.neures.2018.10.008 · Cited by 117 · see citing works
Differential encoding in prefrontal cortex projection neuron classes across cognitive tasksPreprint
Lui, J., Nguyen, N. D., Grutzner, S. M., Darmanis, S., Peixoto, D., Wagner, M. J., Allen, W. E., Kebschull, J., Richman, E. B., Ren, J., et al. (2020) · bioRxiv · doi:10.1101/2020.03.14.991018 · Cited by 116 · see citing works
“Choice-specific information has been observed across multiple regions of cortex (Feierstein et al., 2006; Harvey et al., 2012; Guo et al., 2014b; Li et al., 2015; Driscoll et al., 2017; Wagner et al., 2019).”
BackgroundErlich, J. C., Brunton, B. W., Duan, C. A., Hanks, T. D., & Brody, C. D. (2015) · eLife · doi:10.7554/elife.05457 · Cited by 225 · see citing works
“’s, finding of no effect after PPC inactivation in a mouse somatosensory-cued, memory-guided task (Guo et al., 2014).”
BackgroundCortical and Subcortical Contributions to Short-Term Memory for Orienting Movements
Kopec, C. D., Erlich, J. C., Brunton, B. W., Deisseroth, K. A., & Brody, C. D. (2015) · Neuron · doi:10.1016/j.neuron.2015.08.033 · Cited by 106 · see citing works
“The timing of the effects we found contrast with those recently described by Svoboda and colleagues (Guo et al., 2014; Li et al., 2015).”
Low-dimensional and monotonic preparatory activity in mouse anterior lateral motor cortex
Inagaki, H. K., Inagaki, M., Romani, S., & Svoboda, K. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.3152-17.2018 · Cited by 111 · see citing works
Self-citationSlow 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
“O'Shea DJ and Shenoy KV (2018).”
InfluentialFast and slow transitions in frontal ensemble activity during flexible sensorimotor behavior
Siniscalchi, M. J., Phoumthipphavong, V., Ali, F., Lozano, M., & Kwan, A. C. (2016) · Nature Neuroscience · doi:10.1038/nn.4342 · Cited by 110 · see citing works
Comprehensive imaging of cortical networks
Peron, S., Chen, T., & Svoboda, K. (2015) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2015.03.016 · Cited by 113 · see citing works
“Even the simplest perceptual behaviors engage thousands of neurons across multiple regions of cortex [1,2].”
Self-citationDirectional Reaching for Water as a Cortex-Dependent Behavioral Framework for Mice
Galiñanes, G. L., Bonardi, C., & Huber, D. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.02.042 · Cited by 126 · see citing works
“By performing a cortical inactivation mapping experiment (Guo et al., 2014b), we extended these results and revealed that inactivation effects were restricted to a small region in the secondary motor cortex (Allen Brain Atlas) of the contralateral hemisphere.”
InfluentialSelf-citation
- Authors
- Guo, Z. V., Li, N., Huber, D., Ophir, E., Gutnisky, D., Ting, J. T., Feng, G., & Svoboda, K.
- Affiliations
- Howard Hughes Medical Institute (US)
- McGovern Institute for Brain Research (US)
- Corresponding author
- Svoboda, Karel
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 81
- Issue
- 1
- Pages
- 179-194
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC3984938
- OpenAlex
- W2040707073
- Cited by
- 715
- References
- 0
- Citations by year
- 2026: 65 · 2025: 56 · 2024: 74 · 2023: 84 · 2022: 60 · 2021: 64 · 2020: 69 · 2019: 62 · 2018: 57 · 2017: 47 · 2016: 32 · 2015: 27 · 2014: 18
- FWCI
- 14.08
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Archive ouverte UNIGE (University of Geneva) (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-nd)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
- Funders
- Howard Hughes Medical Institute
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- perceptual decision making, barrel cortex, anterior lateral motor cortex, short-term memory, optogenetic inhibition, sensorimotor integration, mice
- MeSH terms
- Channelrhodopsins, Action Potentials, Afferent Pathways, Animals, Cerebral Cortex, Conditioning, Operant, Decision Making, Discrimination, Psychological, Female, Male, Mice, Transgenic, Motion Perception, Nerve Net, Neurons, Photic Stimulation, Touch, Vibrissae, Green Fluorescent Proteins, Vesicular Inhibitory Amino Acid Transport Proteins, Mice
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 ›
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