The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
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.
Overview
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
Verification
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
The subcellular organization of neocortical excitatory connections
Petreanu, L., Mao, T., Sternson, S. M., & Svoboda, K. (2009) · Nature · doi:10.1038/nature07709 · Cited by 1,047
Self-citationNeuronal correlates of parametric working memory in the prefrontal cortex
Romo, R., Brody, C. D., Hernández, A., & Lemus, L. (1999) · Nature · doi:10.1038/20939 · Cited by 822
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
Self-citationInfluence of the thalamus on spatial visual processing in frontal cortex
Sommer, M. A., & Wurtz, R. H. (2006) · Nature · doi:10.1038/nature05279 · Cited by 520
Learning-related fine-scale specificity imaged in motor cortex circuits of behaving mice
Komiyama, T., Sato, T. R., O’Connor, D. H., Zhang, Y.-X., Huber, D., Hooks, B. M., Gabitto, M., & Svoboda, K. (2010) · Nature · doi:10.1038/nature08897 · Cited by 447
Self-citationMicrostimulation of inferotemporal cortex influences face categorization
Afraz, S.-R., Kiani, R., & Esteky, H. (2006) · Nature · doi:10.1038/nature04982 · Cited by 363
Separate Signals for Target Selection and Movement Specification in the Superior Colliculus
Horwitz, G. D., & Newsome, W. T. (1999) · Science · doi:10.1126/science.284.5417.1158 · Cited by 346
Temporal gating of neural signals during performance of a visual discrimination task
Seidemann, E., Zohary, E., & Newsome, W. T. (1998) · Nature · doi:10.1038/27906 · Cited by 103
Flagged first, then by citations
Research works printed but not linked: 54
- Aravanis, 2007, An optical neural interface: in vivo control of rodent motor cortex with integrated fiberoptic and optogenetic technology, J. Neural Eng., 4, S143, 10.1088/1741-2560/4/3/S02 · DOI
- Armstrong-James, 1992, Flow of excitation within rat barrel cortex on striking a single vibrissa, J. Neurophysiol., 68, 1345, 10.1152/jn.1992.68.4.1345 · DOI
- Bisley, 2001, Microstimulation of cortical area MT affects performance on a visual working memory task, J. Neurophysiol., 85, 187, 10.1152/jn.2001.85.1.187 · DOI · Paper page
- Brecht, 2011, Movement, confusion, and orienting in frontal cortices, Neuron, 72, 193, 10.1016/j.neuron.2011.10.002 · DOI
- Brecht, 2002, Dynamic representation of whisker deflection by synaptic potentials in spiny stellate and pyramidal cells in the barrels and septa of layer 4 rat somatosensory cortex, J. Physiol., 543, 49, 10.1113/jphysiol.2002.018465 · DOI
- Clack, 2012, Automated tracking of whiskers in videos of head fixed rodents, PLoS Comput. Biol., 8, e1002591, 10.1371/journal.pcbi.1002591 · DOI
- Curtis, 2009, Phase-to-rate transformations encode touch in cortical neurons of a scanning sensorimotor system, Nat. Neurosci., 12, 492, 10.1038/nn.2283 · DOI
- de Lafuente, 2005, Neuronal correlates of subjective sensory experience, Nat. Neurosci., 8, 1698, 10.1038/nn1587 · DOI
- Ding, 2010, Caudate encodes multiple computations for perceptual decisions, J. Neurosci., 30, 15747, 10.1523/JNEUROSCI.2894-10.2010 · DOI
- Erlich, 2011, A cortical substrate for memory-guided orienting in the rat, Neuron, 72, 330, 10.1016/j.neuron.2011.07.010 · DOI · Paper page
- Ferezou, 2007, Spatiotemporal dynamics of cortical sensorimotor integration in behaving mice, Neuron, 56, 907, 10.1016/j.neuron.2007.10.007 · DOI
- Fuster, 1971, Neuron activity related to short-term memory, Science, 173, 652, 10.1126/science.173.3997.652 · DOI · Paper page
- Gold, 2002, Banburismus and the brain: decoding the relationship between sensory stimuli, decisions, and reward, Neuron, 36, 299, 10.1016/S0896-6273(02)00971-6 · DOI
- Goldman-Rakic, 1995, Cellular basis of working memory, Neuron, 14, 477, 10.1016/0896-6273(95)90304-6 · DOI · Paper page
- Harvey, 2012, Choice-specific sequences in parietal cortex during a virtual-navigation decision task, Nature, 484, 62, 10.1038/nature10918 · DOI
- Helmstaedter, 2009, L2/3 interneuron groups defined by multiparameter analysis of axonal projection, dendritic geometry, and electrical excitability, Cereb. Cortex, 19, 951, 10.1093/cercor/bhn130 · DOI
- Hernández, 2010, Decoding a perceptual decision process across cortex, Neuron, 66, 300, 10.1016/j.neuron.2010.03.031 · DOI
- Hikosaka, 1985, Modification of saccadic eye movements by GABA-related substances. I. Effect of muscimol and bicuculline in monkey superior colliculus, J. Neurophysiol., 53, 266, 10.1152/jn.1985.53.1.266 · DOI
- Hippenmeyer, 2005, A developmental switch in the response of DRG neurons to ETS transcription factor signaling, PLoS Biol., 3, e159, 10.1371/journal.pbio.0030159 · DOI
- Hoffer, 2005, Functional circuits mediating sensorimotor integration: quantitative comparisons of projections from rodent barrel cortex to primary motor cortex, neostriatum, superior colliculus, and the pons, J. Comp. Neurol., 488, 82, 10.1002/cne.20579 · DOI
- Hooks, 2013, Organization of cortical and thalamic input to pyramidal neurons in mouse motor cortex, J. Neurosci., 33, 748, 10.1523/JNEUROSCI.4338-12.2013 · DOI
- Hutson, 1986, The sensory contribution of a single vibrissa’s cortical barrel, J. Neurophysiol., 56, 1196, 10.1152/jn.1986.56.4.1196 · DOI
- Kawaguchi, 1993, Groupings of nonpyramidal and pyramidal cells with specific physiological and morphological characteristics in rat frontal cortex, J. Neurophysiol., 69, 416, 10.1152/jn.1993.69.2.416 · DOI
- Kleinfeld, 2011, Neuronal basis for object location in the vibrissa scanning sensorimotor system, Neuron, 72, 455, 10.1016/j.neuron.2011.10.009 · DOI · Paper page
- Knutsen, 2006, Haptic object localization in the vibrissal system: behavior and performance, J. Neurosci., 26, 8451, 10.1523/JNEUROSCI.1516-06.2006 · DOI
- Koralek, 1988, Evidence for two complementary patterns of thalamic input to the rat somatosensory cortex, Brain Res., 463, 346, 10.1016/0006-8993(88)90408-8 · DOI
- Lin, 2013, ReaChR: a red-shifted variant of channelrhodopsin enables deep transcranial optogenetic excitation, Nat. Neurosci., 16, 1499, 10.1038/nn.3502 · DOI
- Long, 2008, Using temperature to analyse temporal dynamics in the songbird motor pathway, Nature, 456, 189, 10.1038/nature07448 · DOI
- Lu, 1993, Thalamic afferents of the rat barrel cortex: a light- and electron-microscopic study using Phaseolus vulgaris leucoagglutinin as an anterograde tracer, Somatosens. Mot. Res., 10, 1, 10.3109/08990229309028819 · DOI
- Luo, 2008, Genetic dissection of neural circuits, Neuron, 57, 634, 10.1016/j.neuron.2008.01.002 · DOI
- Mao, 2011, Long-range neuronal circuits underlying the interaction between sensory and motor cortex, Neuron, 72, 111, 10.1016/j.neuron.2011.07.029 · DOI
- Masino, 1993, Characterization of functional organization within rat barrel cortex using intrinsic signal optical imaging through a thinned skull, Proc. Natl. Acad. Sci. USA, 90, 9998, 10.1073/pnas.90.21.9998 · DOI
- Matyas, 2010, Motor control by sensory cortex, Science, 330, 1240, 10.1126/science.1195797 · DOI
- McCormick, 1985, Comparative electrophysiology of pyramidal and sparsely spiny stellate neurons of the neocortex, J. Neurophysiol., 54, 782, 10.1152/jn.1985.54.4.782 · DOI
- Mountcastle, 1990, Frequency discrimination in the sense of flutter: psychophysical measurements correlated with postcentral events in behaving monkeys, J. Neurosci., 10, 3032, 10.1523/JNEUROSCI.10-09-03032.1990 · DOI
- O’Connor, 2009, Reverse engineering the mouse brain, Nature, 461, 923, 10.1038/nature08539 · DOI
- O’Connor, 2010, Vibrissa-based object localization in head-fixed mice, J. Neurosci., 30, 1947, 10.1523/JNEUROSCI.3762-09.2010 · DOI
- O’Connor, 2010, Neural activity in barrel cortex underlying vibrissa-based object localization in mice, Neuron, 67, 1048, 10.1016/j.neuron.2010.08.026 · DOI
- O’Connor, 2013, Neural coding during active somatosensation revealed using illusory touch, Nat. Neurosci., 16, 958, 10.1038/nn.3419 · DOI · Paper page
- Packer, 2012, Two-photon optogenetics of dendritic spines and neural circuits, Nat. Methods, 9, 1202, 10.1038/nmeth.2249 · DOI
- Pammer, 2013, The mechanical variables underlying object localization along the axis of the whisker, J. Neurosci., 33, 6726, 10.1523/JNEUROSCI.4316-12.2013 · DOI
- Ponce, 2008, Integrating motion and depth via parallel pathways, Nat. Neurosci., 11, 216, 10.1038/nn2039 · DOI
- Ritt, 2008, Embodied information processing: vibrissa mechanics and texture features shape micromotions in actively sensing rats, Neuron, 57, 599, 10.1016/j.neuron.2007.12.024 · DOI
- Romo, 2013, Conversion of sensory signals into perceptual decisions, Prog. Neurobiol., 103, 41, 10.1016/j.pneurobio.2012.03.007 · DOI
- Sanders, 2012, Choice ball: a response interface for two-choice psychometric discrimination in head-fixed mice, J. Neurophysiol., 108, 3416, 10.1152/jn.00669.2012 · DOI
- Schwarz, 2010, The head-fixed behaving rat—procedures and pitfalls, Somatosens. Mot. Res., 27, 131, 10.3109/08990220.2010.513111 · DOI
- Simons, 1978, Response properties of vibrissa units in rat SI somatosensory neocortex, J. Neurophysiol., 41, 798, 10.1152/jn.1978.41.3.798 · DOI
- Tanji, 1976, Anticipatory activity of motor cortex neurons in relation to direction of an intended movement, J. Neurophysiol., 39, 1062, 10.1152/jn.1976.39.5.1062 · DOI
- Travers, 1997, Motor and premotor mechanisms of licking, Neurosci. Biobehav. Rev., 21, 631, 10.1016/S0149-7634(96)00045-0 · DOI
- Voigts, 2008, Unsupervised whisker tracking in unrestrained behaving animals, J. Neurophysiol., 100, 504, 10.1152/jn.00012.2008 · DOI
- von Heimendahl, 2007, Neuronal activity in rat barrel cortex underlying texture discrimination, PLoS Biol., 5, e305, 10.1371/journal.pbio.0050305 · DOI
- Woolsey, 1970, The structural organization of layer IV in the somatosensory region (SI) of mouse cerebral cortex. The description of a cortical field composed of discrete cytoarchitectonic units, Brain Res., 17, 205, 10.1016/0006-8993(70)90079-X · DOI · Paper page
- Zainos, 1997, Role of primary somatic sensory cortex in the categorization of tactile stimuli: effects of lesions, Exp. Brain Res., 115, 357, 10.1007/PL00005704 · DOI
- Zhao, 2011, Cell type–specific channelrhodopsin-2 transgenic mice for optogenetic dissection of neural circuitry function, Nat. Methods, 8, 745, 10.1038/nmeth.1668 · DOI · Paper page
Cited by
Sorted by citations
Items 301–400 of 661
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
Unsupervised Learning of Persistent and Sequential Activity
Pereira, U., & Brunel, N. (2020) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2019.00097 · Cited by 30
“More recently, selective persistent activity has also been observed in mice (Guo et al., 2014; Liu et al., 2014; Inagaki et al., 2019) as well as flies (Kim et al.”
BackgroundMarkwardt, M. L., Snell, N. E., Guo, M., Wu, Y.-C., Christensen, R., Liu, H.-F., Shroff, H., & Rizzo, M. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.06.088 · Cited by 21
“Fluorescence imaging is invaluable for tracking spatiotemporal regulation of molecules in living specimens, particularly so when combined with sensors that can report molecular activities in vivo (Guo et al., 2014; Jones-Tabah et al., 2017; Liang et al., 2016).”
BackgroundBennett, C., Ouellette, B., Ramirez, T. K., Cahoon, A., Cabasco, H., Browning, Y., Lakunina, A. A., Lynch, G., McBride, E., Belski, H., et al. (2024) · bioRxiv · doi:10.1101/2023.11.12.566771 · Cited by 20
Resta, F., Montagni, E., de Vito, G., Scaglione, A., Mascaro, A. L. A., & Pavone, F. S. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111627 · Cited by 31
“Due to technical limitations, investigations of the cortical connectivity related to natural behaviors (Makino et al., 2017; Quarta et al., 2020) and motor mapping studies (Guo et al., 2014) are largely confined to separated experiments.”
BackgroundMeister, M. (2022) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2022.102555 · Cited by 36
“This can explain both why the performance improves so slowly and why it tends to saturate at a rather modest level [18, 19].”
BackgroundApproaches to inferring multi-regional interactions from simultaneous population recordings
Kang, B., & Druckmann, S. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.10.004 · Cited by 27
“We will specifically consider the delayed response task paradigm initiated in [99] and followed up by many recent studies including [94-100,126 ,127 ].”
MethodResultMice Preferentially Use Increases in Cerebral Cortex Spiking to Detect Changes in Visual Stimuli
Cone, J. J., Bade, M. L., Masse, N. Y., Page, E. A., Freedman, D. J., & Maunsell, J. H. R. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.1124-20.2020 · Cited by 17
“Studies that have used optogenetics to produce synchronous inhibition of sensory cortex have found that it impairs perception across a range of modalities and stimuli (Glickfeld et al., 2013; Guo et al., 2014; Resulaj et al., 2018; Cone et al., 2019; Jin and Glickfeld, 2019).”
BackgroundLearning-related population dynamics in the auditory thalamus
Gilad, A., Maor, I., & Mizrahi, A. (2020) · eLife · doi:10.7554/elife.56307 · Cited by 33
Sato, T., Itokazu, T., Osaki, H., Ohtake, M., Yamamoto, T., Sohya, K., Maki, T., & Sato, T. K. (2019) · eLife · doi:10.7554/elife.50855 · Cited by 14
Learning Recruits Higher Cortical Areas into Rapid Sensorimotor Streams
Finkel, E. A., & O’Connor, D. H. (2018) · Neuron · doi:10.1016/j.neuron.2017.12.026 · Cited by 25
A Reward-Based Behavioral Platform to Measure Neural Activity during Head-Fixed Behavior
Micallef, A. H., Takahashi, N., Larkum, M. E., & Palmer, L. M. (2017) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2017.00156 · Cited by 17
“…training is generally required, 2AFC is advantageous as reporting of false-misses (which can occur during ‘‘No-Go’’ trials) is prevented by establishing two lick ports where the animal must report to either a left or right port according to a 2AFC detection task (Guo et al., 2014; Li et al., 2015).”
BackgroundA self-initiated two-alternative forced choice paradigm for head-fixed micePreprint
Marbach, F., & Zador, A. M. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/073783 · Cited by 24
“To this end, we modified an existing paradigm with two lick spouts for left/right reports (Mayrhofer et al. 2013; Guo et al. 2014b) to include a third, middle spout for a ‘fixation-like’ trial initiation (Fig.”
BackgroundMethodInfluentialXie, M., Liang, Y., Miller, A. S., Pallegar, P. N., Umpierre, A. D., Wang, N., Zhang, S., Nagaraj, N. K., Fogarty, Z. C., Ghayal, N. B., et al. (2025) · Immunity · doi:10.1016/j.immuni.2025.08.016 · Cited by 26
Lateralization of short-term memory in the frontal cortex
Yin, X., Wang, Y., Li, J., & Guo, Z. V. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111190 · Cited by 19
Self-citationAntipsychotic drugs selectively decorrelate long-range interactions in deep cortical layers
Heindorf, M., & Keller, G. B. (2023) · eLife · doi:10.1101/2022.01.31.478462 · Cited by 61
“In a subset of mice, for the comparison of hemodynamic responses ( Figure 1—figure supplement 1A and B ), we used a clear skull preparation ( Guo et al., 2014 ).”
MethodCampagner, D., Evans, M. H., Chlebikova, K., Rodriguez, A. C., Loft, M. S. E., Fox, S., Pettifer, D., Humphries, M. D., Svoboda, K., & Petersen, R. S. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2217-18.2019 · Cited by 22
Self-citationExpanding perspectives on cognition in humans, animals, and machines
Gomez-Marin, A., & Mainen, Z. (2016) · bioRxiv · doi:10.1101/037192 · Cited by 19
“A burgeoning line of work has taken this approach to even more constrained, head-fixed, mice performing tasks such as memory guided decisions [17], sometimes in a virtual reality [18].”
Cell type-specific connectome predicts distributed working memory activity in the mouse brain
Ding, X., Froudist‐Walsh, S., Jaramillo, J., Jiang, J., & Wang, X. (2023) · eLife · doi:10.7554/elife.85442 · Cited by 25
“…previous studies that have shown this area to be crucial for short-term memory maintenance, planning, and movement execution during a memory-guided response task ( Guo et al., 2017 ; Guo et al., 2014 ; Inagaki et al., 2019 ; Li et al., 2015 ; Wu et al., 2020 ; Voitov and Mrsic-Flogel, 2022 ).”
BackgroundResultGroblewski, P. A., Ollerenshaw, D. R., Kiggins, J. T., Garrett, M., Mochizuki, C., Casal, L., Cross, S., Mace, K. D., Swapp, J., Manavi, S., et al. (2020) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2020.00104 · Cited by 21
Population dynamics of choice representation in dorsal premotor and primary motor cortexPreprint
Peixoto, D., Kiani, R., Chandrasekaran, C., Ryu, S. I., Shenoy, K. V., & Newsome, W. T. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/283960 · Cited by 14
A frontal transcallosal inhibition loop mediates interhemispheric balance in visuospatial processing
Wang, Y., Chen, Z., Ma, G., Wang, L., Liu, Y., Qin, M., Fei, X., Wu, Y., Xu, M., & Zhang, S. (2023) · Nature Communications · doi:10.1038/s41467-023-40985-5 · Cited by 16
Lang, L., Camera, G. L., & Fontanini, A. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010865 · Cited by 15
Sub-threshold neuronal activity and the dynamical regime of cerebral cortex
Amsalem, O., Inagaki, H., Yu, J., Svoboda, K., & Darshan, R. (2024) · Nature Communications · doi:10.1038/s41467-024-51390-x · Cited by 14
Self-citationSomatosensory 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 25
“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.”
ResultMotor cortical influence relies on task-specific activity covariation
Warriner, C. L., Fageiry, S., Saxena, S., Costa, R., & Miri, A. (2022) · bioRxiv · doi:10.1101/2022.02.09.479479 · Cited by 17
Sequence 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 19
Discrete attractor dynamics underlying selective persistent activity in frontal cortexPreprint
Inagaki, H. K., Fontolan, L., Romani, S., & Svoboda, K. (2017) · bioRxiv · doi:10.1101/203448 · Cited by 17
Self-citationLong‐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
“S1 Several inactivation experiments have demonstrated that S1 is necessary for behaviors involving tactile detection, object localization, and texture discrimination (O’Connor et al., 2010a; Miyashita & Feldman, 2013; Sachidhanandam et al., 2013; Guo et al., 2014).”
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
“…single whisker deflections ( Kwon et al., 2016 ; Le Merre et al., 2018 ; Miyashita and Feldman, 2013 ; Oryshchuk et al., 2024 ; Sachidhanandam et al., 2013 ; Takahashi et al., 2020 ; Yang et al., 2016 ), object localization ( Guo et al., 2014 ) and texture discrimination ( Chéreau et al., 2020 ).”
BackgroundLazari, A., Tachrount, M., Valverde, J. M., Papp, D., Beauchamp, A., McCarthy, P., Ellegood, J., Grandjean, J., Johansen‐Berg, H., Zerbi, V., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114191 · Cited by 16
Emergence of cortical network motifs for short-term memory during learning
Chia, X. W., Tan, J. K., Ang, L. F., Kamigaki, T., & Makino, H. (2023) · Nature Communications · doi:10.1038/s41467-023-42609-4 · Cited by 16
“Because training durations were much longer in Guo et al. (2014), we hypothesized that PPC becomes gradually less important as mice were trained longer.”
BackgroundResultCortical 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 18
“More recent efforts are now underway to study sensory-motor transformations in mouse neocortex (Matyas et al., 2010; Guo et al., 2014; Yang et al., 2015; Zagha et al., 2015; Goard et al., 2016; Pho et al., 2018; Mayrhofer et al., 2019; Aruljothi et al., 2020; Salkoff et al., 2020), which benefits…”
BackgroundUnderstanding the circuit basis of cognitive functions using mouse models
Nakajima, M., & Schmitt, L. I. (2019) · Neuroscience Research · doi:10.1016/j.neures.2019.12.009 · Cited by 19
Mohan, H., de Haan, R., Broersen, R., Pieneman, A. W., Helmchen, F., Staiger, J. F., Mansvelder, H. D., & de Kock, C. P. J. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.0693-19.2019 · Cited by 24
“…during innate whisker-based somatosensation may facilitate understanding the cortical coding principles during increased cognitive load, for instance, during learned whiskerguided stimulus detection (e.g., Le Merre et al., 2018) or twoalternative forced choice performance (e.g., Guo et al., 2014).”
BackgroundNonlinear Evolution via Spatially-Dependent Linear Dynamics for Electrophysiology and Calcium DataPreprint
Hernandez, D., Moretti, A. K., Wei, Z., Saxena, S., Cunningham, J. P., & Paninski, L. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1811.02459 · Cited by 14
“…exhibit complex dynamics across behavioral epochs; some neurons show ramping and persistent activity from sample to delay, which relates to the preparation of the choice at response Guo et al. (2014 We asked whether VIND can capture the variety of neural dynamics using a few latent observations.”
BackgroundMethodMapping brain state-dependent sensory responses across the mouse cortex
Montagni, E., Resta, F., Tort‐Colet, N., Scaglione, A., Mazzamuto, G., Alain Destexhe, A., Pavone, F. S., & Mascaro, A. L. A. (2024) · iScience · doi:10.1016/j.isci.2024.109692 · Cited by 15
An output-null signature of inertial load in motor cortex
Kirk, E. A., Hope, K. T., Sober, S. J., & Sauerbrei, B. (2024) · Nature Communications · doi:10.1038/s41467-024-51750-7 · Cited by 25
Diamond, M. E., & Toso, A. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105161 · Cited by 16
“…studies, however, suggest that the task might be accomplished without any abstract conception of a boundary, per se – it appears that the “reference” consists of a stored and continuously updated representation of the string of preceding stimuli (Hachen et al., 2021; Yousefi Darani et al., 2023).”
BackgroundInfluentialHistory information emerges in the cortex during learning
Marmor, O., Pollak, Y. E., Doron, C., Helmchen, F., & Gilad, A. (2023) · eLife · doi:10.7554/elife.83702 · Cited by 19
“…the first day of imaging, mice were presented with the ‘go’ texture and after 50 trials the ‘no-go’ texture was gradually introduced (starting from 10% and increasing by 10% approximately every 50 trials; Guo et al., 2014 ) until reaching 50% probability for the no-go texture by the end of the day.”
BackgroundOsaki, H., Kanaya, M., Ueta, Y., & Miyata, M. (2022) · Nature Communications · doi:10.1038/s41467-022-31272-w · Cited by 23
Kim, C. M., Finkelstein, A., Chow, C. C., Svoboda, K., & Darshan, R. (2023) · Nature Communications · doi:10.1038/s41467-023-38529-y · Cited by 21
“Similarly to neurons in the primate motor cortex [28, 29, 30], the activity of many neurons in ALM ramps slowly during motor preparation and is selective to future actions [21, 31, 32].”
BackgroundSelf-citationSekiguchi, H., Matsuhira, H., Kanda, R., Tada, S., Kitade, T., Tsutsumi, M., Nishikawa, A., Loesing, A., Fukunaga, I., Setogawa, S., et al. (2022) · Applied Physics Express · doi:10.35848/1882-0786/ac5ba3 · Cited by 15
Distributed context-dependent choice information in mouse posterior cortex
Orlandi, J. G., Abdolrahmani, M., Aoki, R., Lyamzin, D. R., & Benucci, A. (2023) · Nature Communications · doi:10.1038/s41467-023-35824-6 · Cited by 23
Mice in a labyrinth: Rapid learning, sudden insight, and efficient exploration
Rosenberg, M., Zhang, T., Perona, P., & Meister, M. (2021) · bioRxiv · doi:10.1101/2021.01.14.426746 · Cited by 15
“Canonical examples are a monkey reporting motion in a visual stimulus by saccading its eyes (Newsome and Pare,1988), and a mouse in a box classifying stimuli by moving its forelimbs or the tongue (Burgess et al., 2017; Guo et al., 2014).”
BackgroundProbing Cortical Activity During Head-Fixed Behavior
Bjerre, A.-S., & Palmer, L. M. (2020) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2020.00030 · Cited by 12
Accurate localization of linear probe electrodes across multiple brainsPreprint
Liu, L. D., Chen, S.-S., Economo, M., Li, N., & Svoboda, K. (2020) · bioRxiv · doi:10.1101/2020.02.25.965210 · Cited by 15
Self-citationChen, K., Vincis, R., & Fontanini, A. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz005 · Cited by 19
Pais-Vieira, M., Kunicki, C., Tseng, P.-H., Martin, J. R., Lebedev, M., & Nicolelis, M. A. L. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00108.2015 · Cited by 16
“More recently, several groups have shown that, in addition to this feed-forward component, the complexity of tactile information processing is also dependent on modulations provided by multiple cortical loops (Guo et al. 2014; Kinnischtzke et al. 2014; Lee et al. 2008; Pais-Vieira et al. 2013b).”
A collicular map for touch-guided tongue control
Ito, B. S., Gao, Y., Kardon, B., & Goldberg, J. H. (2025) · Nature · doi:10.1038/s41586-024-08339-3 · Cited by 15
“Unilateral inactivations of multiple brain regions, including the TJM1, ALM or latSC, are all known to cause an ipsilateral steering bias 12,22 .”
Liu, J., Liu, D., Pu, X., Zou, K., Xie, T., Li, Y., & Yao, H. (2023) · Neuroscience Bulletin · doi:10.1007/s12264-023-01073-2 · Cited by 21
A Canonical Scheme of Bottom-Up and Top-Down Information Flows in the Frontoparietal Network
Hwang, E. J., Sato, T., & Sato, T. K. (2021) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.691314 · Cited by 15
Birtalan, E., Bánhidi, A., Sanders, J. I., Balázsfi, D., & Hangya, B. (2020) · Scientific Reports · doi:10.1038/s41598-020-79290-2 · Cited by 29
Vavladeli, A., Daigle, T. L., Zeng, H., Crochet, S., & Petersen, C. C. H. (2020) · Function · doi:10.1093/function/zqaa008 · Cited by 23
Morrissette, A. E., Chen, P., Bhamani, C., Borden, P. Y., Waiblinger, C., Stanley, G. B., & Jaeger, D. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2019.10.031 · Cited by 14
“Recent studies have shown that in mice the anterolateral premotor area (ALM) contributes to the initiation of directional licking in delayed choice tasks (Guo et al., 2014a, Li et al., 2015, Chen et al., 2017).”
MethodA novel device for real-time measurement and manipulation of licking behavior in head-fixed mice.
Williams, B., Speed, A., & Haider, B. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00500.2018 · Cited by 14
“6A; 6.4 (SD 1.0) Hz; mean (SD); n 8,995 licks], consistent with previous studies of head-fixed licking behavior (Guo et al. 2014a) and licking in freely moving mice (Boughter et al. 2007).”
BackgroundResultInfluentialRajan, R. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.3003-17.2018 · Cited by 14
“…the rest of the units were classified as putative interneurons (n 17) and putative HVCX-projecting neurons (n 26) based on comparison of spontaneous (nonsinging) activity and motif-related activity to earlier studies (Hahnloser and Fee, 2007; Kozhevnikov and Fee, 4 (Figure legend continued.)”
BackgroundA thalamocortical pathway controlling impulsive behavior
Guzulaitis, R., & Palmer, L. M. (2023) · Trends in Neurosciences · doi:10.1016/j.tins.2023.09.001 · Cited by 26
Fast-Spiking Interneurons of the Premotor Cortex Contribute to Action Planning
Giordano, N., Alia, C., Fruzzetti, L., Pasquini, M., Palla, G., Mazzoni, A., Micera, S., Fogassi, L., Bonini, L., & Caleo, M. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0750-22.2023 · Cited by 32
“Here, we recorded premotor neuronal activity from the anterolateral motor cortex (ALM; Komiyama et al., 2010; Guo et al., 2014; Chen et al., 2017), which partially overlaps with the rostral forelimb area (RFA; Tennant et al.”
BackgroundMethodMotor cortex gates distractor stimulus encoding in sensory cortex
Zhang, Z., & Zagha, E. (2023) · Nature Communications · doi:10.1038/s41467-023-37848-4 · Cited by 21
Neural basis of anticipation and premature impulsive action in the frontal cortex
Guzulaitis, R., Godenzini, L., & Palmer, L. M. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01198-z · Cited by 11
Quantifying rhythmicity in perceptual reports
Tosato, T., Rohenkohl, G., Dowdall, J. R., & Fries, P. (2022) · bioRxiv · doi:10.1101/2022.05.16.492063 · Cited by 13
“, 2016), alpha (Guo et al., 2014), beta (Baumgarten et al.”
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 18
“Increased activity of excitatory neurons in wM2 across learning could arise from the increase in functional connectivity between wS2 to wM2, and could in turn contribute to driving excitation in other frontal areas including ALM, which is known to be important for the motor planning of licking [20,22].”
BackgroundA literature review of brain decoding research
Awangga, R. M., Mengko, T. L. R., & Utama, N. P. (2020) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/830/3/032049 · Cited by 10
Connectivity underlying motor cortex activity during goal-directed behaviour
Finkelstein, A., Daie, K., Rózsa, M., Darshan, R., & Svoboda, K. (2025) · Nature · doi:10.1038/s41586-025-09758-6 · Cited by 18
Self-citationLearning enhances representations of taste-guided decisions in the mouse gustatory insular cortex
Kogan, J. F., & Fontanini, A. (2024) · Current Biology · doi:10.1016/j.cub.2024.03.034 · Cited by 24
“15 26 Improvement of behavioral performance after discrimination learning Upon establishing a mixture discrimination paradigm and identifying the associated patterns of activity, we elected to investigate whether behavioral performance and GC neural activity could be modified by training mice in a…”
BackgroundMethodInfluentialPerformance errors during rodent learning reflect a dynamic choice strategy
Zhu, Z., & Kuchibhotla, K. V. (2024) · Current Biology · doi:10.1016/j.cub.2024.04.017 · Cited by 20
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 24
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
“…with findings showing that whisker input and microstimulation-induced activity quickly spread from barrel cortex to high-order sensory and motor areas, 74,75 and demonstrates that barrel cortex plays a causal role in initiating rapid sensorimotor transformations during goal-directed behavior.”
Emergence of preparatory dynamics in VIP interneurons during motor learning
Arroyo, S., Barati, S., Kim, K.-S., Aparicio, F., & Ganguly, K. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112834 · Cited by 11
Functional MRI of large scale activity in behaving micePreprint
Fonseca, M. S., Bergomi, M. G., Mainen, Z. F., & Shemesh, N. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.16.044941 · Cited by 15
Hegner, Y. L., Lindner, A., & Braun, C. (2016) · Human Brain Mapping · doi:10.1002/hbm.23446 · Cited by 10
“Electrophysiological studies in animals have provided important clues about the flow of information within the perceptual decision network [Gold and Shadlen, 2007; Guo et al., 2014; Hernandez et al., 2010; Romo et al., 2006; Siegel et al., 2015].”
BackgroundCa2+ signaling in arterioles and small arteries of conscious, restrained, optical biosensor mice
Fairfax, S. T., Mauban, J. R., Hao, S., Rizzo, M., Zhang, J., & Wier, W. (2014) · Frontiers in Physiology · doi:10.3389/fphys.2014.00387 · Cited by 12
“Hence in the present study utilized techniques of restraint for conscious mice, developed previously for studies of neuronal activity (e.g., Guo et al., 2014) or blood flow (Drew et al., 2011) in cerebral vessels of conscious mice equipped with optical cranial windows or thinned skulls (Shih et…”
BackgroundMethodInfluentialNeuronal oscillations and the mouse prefrontal cortex
Jung, F., & Carlén, M. (2021) · International review of neurobiology · doi:10.1016/bs.irn.2020.11.005 · Cited by 12
Brain-wide analysis reveals movement encoding structured across and within brain areas
Wang, Z. A., Kurgyis, B., Chen, S., Kang, B., Chen, F., Liu, Y., Liu, D., Svoboda, K., Li, N., & Druckmann, S. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-02114-x · Cited by 46
“For example, one mouse remained static before the go cue in lick-left trials (Supplementary Video 2) but performed stereotypical swinging of the paw in lick-left trials of the next day (Supplementary Video 3).”
InfluentialSelf-citationTuft dendrites in frontal motor cortex enable flexible learning
Casas, E. M. D. L., Killmann, K., Drüke, M., Münster, L., Ebner, C., Sachdev, R. N. S., Jaeger, D., & Larkum, M. (2025) · bioRxiv · doi:10.1101/2025.03.13.642781 · Cited by 11
Steinfeld, R., Tacão-Monteiro, A., & Renart, A. (2024) · Current Biology · doi:10.1016/j.cub.2024.04.040 · Cited by 17
“1,21,36,37 Here, we describe the temporal organization of stimulus-and choice-related signals across layers of the mouse auditory cortex (ACx) in a two-alternative forced-choice (2AFC) frequency discrimination task with a delayed report.”
Anterior cingulate cross-hemispheric inhibition via the claustrum resolves painful sensory conflict
Koga, K., Kobayashi, K., Tsuda, M., Pickering, A. E., & Furue, H. (2024) · Communications Biology · doi:10.1038/s42003-024-06008-9 · Cited by 17
“Wede fi ned units with spike widths of >0.45 ms and 0.35 ms as putative pyramidal neurons and interneurons, respectively 62 .”
BackgroundInfluentialAssessing Cross-Contamination in Spike-Sorted Electrophysiology Data
Vincent, J. P., & Economo, M. N. (2024) · eNeuro · doi:10.1523/eneuro.0554-23.2024 · Cited by 11
“These parameters produce a true % ISI v of 0.5%, a value that has been used as a threshold for considering clusters well isolated (Jadhav et al., 2009; Guo et al., 2014; Chandrasekaran et al., 2017).”
InfluentialFeedforward amplification in recurrent networks underlies paradoxical neural codingPreprint
Daie, K., Fontolan, L., Druckmann, S., & Svoboda, K. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.04.552026 · Cited by 16
Self-citationPerceptual Weighting of V1 Spikes Revealed by Optogenetic White Noise Stimulation
Day-Cooney, J., Cone, J. J., & Maunsell, J. H. R. (2021) · Journal of Neuroscience · doi:10.1101/2021.01.25.428138 · Cited by 11
“However, most studies that use optogenetics to modulate spiking in behaving animals have delivered stimulation lasting hundreds of milliseconds or longer (e.g., Cone et al., 2020; Glickfeld et al., 2013; Goard et al., 2016; Guo et al., 2014; Lee et al., 2012).”
BackgroundSensing the Environment With Whiskers
Evans, M. H., Loft, M. S. E., Campagner, D., & Petersen, R. S. (2019) · Oxford University Press eBooks · doi:10.1093/acrefore/9780190264086.013.226 · Cited by 10
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
“…PFC is spatially distant from the other aforementioned cortical regions and their engagement in NAs during the discrimination task is an additional indicative that information processing is distributed in the brain (Nicolelis et al., 1995; Nicolelis, 2005; Winters and Reid, 2010; Guo et al., 2014).”
BackgroundActivation and measurement of free whisking in the lightly anesthetized rodent
Moore, J. D., Deschênes, M., Kurnikova, A., & Kleinfeld, D. (2014) · Nature Protocols · doi:10.1038/nprot.2014.119 · Cited by 13
Biologically informed cortical models predict optogenetic perturbations
Sourmpis, C., Petersen, C. C. H., Gerstner, W., & Bellec, G. (2025) · bioRxiv · doi:10.1101/2024.09.27.615361 · Cited by 10
“Optogenetics is a powerful tool to induce precise causal perturbations in vivo (Esmaeili et al., 2021; Guo et al., 2014).”
Pan-cortical 2-photon mesoscopic imaging and neurobehavioral alignment in awake, behaving mice
Vickers, E. D., & McCormick, D. A. (2024) · eLife · doi:10.7554/elife.94167 · Cited by 7
“…discrimination tasks (Guo and Svoboda, 2014), the standardization of training and performance analysis across laboratories (The International Brain Laboratory et al, 2021; eLife), and the separation of context-dependent rule representation and choice in a working memory task (Wu and Shadlen, 2020).”
Striatal dopamine reflects individual long-term learning trajectories
Garcia, S., Laffere, A., Toschi, C., Schilling, L., Podlaski, J., Fritsche, M., Zatka-Haas, P., Li, Y., Bogacz, R., Saxe, A. M., et al. (2023) · bioRxiv · doi:10.1101/2023.12.14.571653 · Cited by 10
“The effect of task difficulty in developing biased strategies has been observed with other sensory modalities such as in whisker-based tasks (38).”
BackgroundColumnar Lesions in Barrel Cortex Persistently Degrade Object Location Discrimination Performance
Ryan, L., Laughton, M., Sun-Yan, A., Costello, S., Pancholi, R., & Peron, S. (2022) · eNeuro · doi:10.1523/eneuro.0393-22.2022 · Cited by 10
“Optogenetic silencing of vS1 interferes with object location discrimination (Guo et al., 2014b) and object detection (Sachidhanandam et al., 2013; Hong et al., 2018).”
BackgroundResultSparse imaging and reconstruction tomography for high-speed high-resolution whole-brain imaging
Chen, H., Huang, T., Yang, Y., Yao, X., Huo, Y., Wang, Y., Zhao, W., Ji, R., Yang, H., & Guo, Z. V. (2021) · Cell Reports Methods · doi:10.1016/j.crmeth.2021.100089 · Cited by 12
“We used SMART to image sparsely labeled EGFP neurons in the medial prefrontal cortex (mPFC; a frontal region in the regulation of cognitive and emotive functions; Fuster, 2015; Miller, 2000), the anterior lateral motor cortex (ALM; a premotor region in the regulation of motor planning and movement; Guo et al., 2014; L…”
BackgroundMethodSelf-citationA rise-to-threshold signal for a relative value deliberationPreprint
Vijayan, V., Wang, F., Wang, K., Chakravorty, A., Adachi, A., Akhlaghpour, H., Dickson, B. J., & Maimon, G. (2021) · bioRxiv · doi:10.1101/2021.09.23.461548 · Cited by 10
A midbrain - thalamus - cortex circuit reorganizes cortical dynamics to initiate planned movement
Inagaki, H. K., Chen, S.-S., Ridder, M., Sah, P., Li, N., Yang, Z., Hasanbegović, H., Gao, Z.-Y., Gerfen, C., & Svoboda, K. (2020) · bioRxiv · doi:10.1101/2020.12.16.423127 · Cited by 10
“Consistent with previous reports (Guo et al., 2014; Inagaki et al., 2018), ALM neurons showed lick direction-selective spike rates (selectivity; p < 0.05, ranksum test) during the delay (2628/5226 neurons) and the response epochs (3271/5226 neurons).”
BackgroundMethodResultInfluentialSelf-citationInvestigating learning-related neural circuitry with chronic in vivo optical imaging
Lee, C. R., Najafizadeh, L., & Margolis, D. J. (2020) · Brain Structure and Function · doi:10.1007/s00429-019-02001-9 · Cited by 12
Cerebellar-recipient motor thalamus drives behavioral context-specific movement initiation
Dacre, J., Colligan, M., Ammer, J., Schiemann, J., Clarke, T., Chamosa-Pino, V., Claudi, F., Harston, J. A., Eleftheriou, C., Pakan, J. M. P., et al. (2019) · bioRxiv · doi:10.1101/802124 · Cited by 10
“…activity in frontal motor-associated regions could provide the initial ‘decision to move’, which propagates through cortico-cerebellar loops to form a discrete motor timing signal at the level of motor thalamus (Chabrol et al., 2019; Churchland et al., 2006a; Gao et al., 2018; Guo et al., 2014).”
BackgroundUsing intersection information to map stimulus information transfer within neural networks
Pica, G., Soltanipour, M., & Panzeri, S. (2019) · Biosystems · doi:10.1016/j.biosystems.2019.104028 · Cited by 9
“This allows an unprecedented opportunity to dissect and reverse engineer the information transmission pathways that are required for accurate performance of behavioral tasks (Guo et al., 2014; Peng et al., 2015; Daniel et al., 2013).”
BackgroundSpatiotemporal limits of optogenetic manipulations in cortical circuitsPreprint
Li, N., Chen, S., Guo, Z. V., Chen, H., Huo, Y., Inagaki, H., Davis, C., Hansel, D., Guo, C., & Svoboda, K. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/642215 · Cited by 11
“, 2015), or strength and duration of the light manipulation (Atallah et al., 2014; Guo et al., 2014b; Lee et al., 2014).”
BackgroundMethodInfluentialSelf-citationIntersectional Illumination of Neural Circuit Function
Allen, W. E., & Luo, L. (2015) · Neuron · doi:10.1016/j.neuron.2015.02.032 · Cited by 14
“Transgenic mice expressing ChR2 in all inhibitory interneurons have already been successfully utilized to perform a functional screen to determine which cortical regions are necessary for somatosensory-based decision making (Guo et al., 2014).”
MethodPereira-Obilinovic, U., Daie, K., Chen, S.-S., Svoboda, K., & Darshan, R. (2025) · bioRxiv · doi:10.1101/2025.11.20.689599 · Cited by 9
“Some of the influential residual dimensions correlate with population activity patterns previously associated with decision-making, such as ramping activity (Tanji & Evarts 1976; Churchland et al. 2010; Guo et al. 2014),(Fig.”
Self-citationIntegrator dynamics in the cortico-basal ganglia loop for flexible motor timing
Yang, Z., Inagaki, M., Gerfen, C. R., Fontolan, L., & Inagaki, H. (2025) · Nature · doi:10.1038/s41586-025-09778-2 · Cited by 10
“For cortical photoinhibition, mice were implanted with a clear skull cap 37 .”
InfluentialNeuronal dynamics of cerebellum and medial prefrontal cortex in adaptive motor timing
Ren, Z., Wang, X., Angelov, M., Zeeuw, C. I. D., & Gao, Z. (2025) · Nature Communications · doi:10.1038/s41467-025-55884-0 · Cited by 8
Joint encoding of stimulus and decision in monkey primary visual cortex
Yang, Y., Klon-Lipok, J., & Singer, W. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad420 · Cited by 8
Metadata
- 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 ›
Are you an author, or do you see a problem with this page? Request a review