Learning Enhances Sensory Processing in Mouse V1 before Improving Behavior
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Abstract
A fundamental property of visual cortex is to enhance the representation of those stimuli that are relevant for behavior, but it remains poorly understood how such enhanced representations arise during learning. Using classical conditioning in adult mice of either sex, we show that orientation discrimination is learned in a sequence of distinct behavioral stages, in which animals first rely on stimulus appearance before exploiting its orientation to guide behavior. After confirming that orientation discrimination under classical conditioning requires primary visual cortex (V1), we measured, during learning, response properties of V1 neurons. Learning improved neural discriminability, sharpened orientation tuning, and led to higher contrast sensitivity. Remarkably, these learning-related improvements in the V1 representation were fully expressed before successful orientation discrimination was evident in the animals9 behavior. We propose that V1 plays a key role early in discrimination learning to enhance behaviorally relevant sensory information. SIGNIFICANCE STATEMENT Decades of research have documented that responses of neurons in visual cortex can reflect the behavioral relevance of visual information. The behavioral relevance of any stimulus needs to be learned, though, and little is known how visual sensory processing changes, as the significance of a stimulus becomes clear. Here, we trained mice to discriminate two visual stimuli, precisely quantified when learning happened, and measured, during learning, the neural representation of these stimuli in V1. We observed learning-related improvements in V1 processing, which were fully expressed before discrimination was evident in the animals9 behavior. These findings indicate that sensory and behavioral improvements can follow different time courses and point toward a key role of V1 at early stages in discrimination learning.
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In mice trained on an orientation-discrimination task, the learning phase immediately before attaining expert performance is associated with increased contrast gain in V1 neurons.
“In mice trained on an orientation-discrimination task, the learning phase immediately before attaining expert performance is associated with increased contrast gain in V1 neurons55.”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [55]
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Cites
Robust Locally Weighted Regression and Smoothing Scatterplots
Cleveland, W. S. (1979) · Journal of the American Statistical Association · doi:10.1080/01621459.1979.10481038 · Cited by 11,594 · see citing works
Rescorla, R. A. (1972) · Medical Entomology and Zoology · Cited by 7,268 · see citing works
Detection Theory: A User's Guide
Macmillan, N. A., & Creelman, C. D. (1991) · Cited by 5,415 · see citing works
Pearce, J. M., & Hall, G. (1980) · Psychological Review · doi:10.1037/0033-295x.87.6.532 · Cited by 3,023 · see citing works
Detection theory: A user's guide
Lories, G. (1993) · Behavioural Processes · doi:10.1016/0376-6357(93)90083-4 · Cited by 2,927 · see citing works
A theory of attention: Variations in the associability of stimuli with reinforcement
Mackintosh, N. J. (1975) · Psychological Review · doi:10.1037/h0076778 · Cited by 2,733 · see citing works
Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering
Quiroga, R. Q., Nadasdy, Z., & Ben-Shaul, Y. (2004) · Neural Computation · doi:10.1162/089976604774201631 · Cited by 2,119 · see citing works
Robust Locally Weighted Regression and Smoothing Scatterplots
Cleveland, W. S. (1979) · Journal of the American Statistical Association · doi:10.2307/2286407 · Cited by 2,063 · see citing works
Spike Timing–Dependent Plasticity: A Hebbian Learning Rule
Caporale, N., & Dan, Y. (2008) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.31.060407.125639 · Cited by 1,997 · cited 1× · see citing works
“It might well be that some form of activity-dependent plasticity (Caporale and Dan, 2008) leads to a gradual, trial-by-trial strengthening of synaptic connectivity between neurons along the early visual pathway.”
BackgroundMitzdorf, U. (1985) · Physiological Reviews · doi:10.1152/physrev.1985.65.1.37 · Cited by 1,690 · see citing works
Modulation of visual responses by behavioral state in mouse visual cortex
Niell, C. M., & Stryker, M. P. (2010) · Neuron · doi:10.1016/j.neuron.2010.01.033 · Cited by 1,483 · cited 1× · see citing works
“Because locomotion can increase the gain of sensory responses in mouse V1 (Niell and Stryker, 2010; Bennett et al., 2013; Polack et al., 2013; Erisken et al., 2014; Fu et al., 2014; Lee et al., 2014) and reduce trial-to-trial variability of membrane potential fluctuations (Bennett et al.”
BackgroundTop-down influences on visual processing
Gilbert, C. D., & Li, W. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3476 · Cited by 1,224 · see citing works
Gallistel, C. R., & Gibbon, J. (2000) · Psychological Review · doi:10.1037/0033-295x.107.2.289 · Cited by 1,122 · see citing works
Highly selective receptive fields in mouse visual cortex
Niell, C. M., & Stryker, M. P. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.0623-08.2008 · Cited by 1,081 · see citing works
Attention Increases Sensitivity of V4 Neurons
Reynolds, J. H., Pasternak, T., & Desimone, R. (2000) · Neuron · doi:10.1016/s0896-6273(00)81206-4 · Cited by 1,017 · see citing works
Striate cortex of monkey and cat: contrast response function.
Albrecht, D. G., & Hamilton, D. B. (1982) · Journal of Neurophysiology · doi:10.1152/jn.1982.48.1.217 · Cited by 956 · see citing works
A Cortical Circuit for Gain Control by Behavioral State
Fu, Y., Tucciarone, J. M., Espinosa, J. S., Sheng, N., Darcy, D. P., Nicoll, R. A., Huang, Z. J., & Stryker, M. P. (2014) · Cell · doi:10.1016/j.cell.2014.01.050 · Cited by 937 · cited 2× · see citing works
“…can increase the gain of sensory responses in mouse V1 (Niell and Stryker, 2010; Bennett et al., 2013; Polack et al., 2013; Erisken et al., 2014; Fu et al., 2014; Lee et al., 2014) and reduce trial-to-trial variability of membrane potential fluctuations (Bennett et al., 2013), it could, in…”
BackgroundPractising orientation identification improves orientation coding in V1 neurons
Schoups, A., Vogels, R., Qian, N., & Orban, G. (2001) · Nature · doi:10.1038/35087601 · Cited by 856 · see citing works
Nicholson, C., & Freeman, J. A. (1975) · Journal of Neurophysiology · doi:10.1152/jn.1975.38.2.356 · Cited by 699 · see citing works
Cellular mechanisms of brain state-dependent gain modulation in visual cortex
Polack, P.-O., Friedman, J., & Golshani, P. (2013) · Nature Neuroscience · doi:10.1038/nn.3464 · Cited by 628 · see citing works
Contrast's effect on spatial summation by macaque V1 neurons
Sceniak, M. P., Ringach, D. L., Hawken, M. J., & Shapley, R. M. (1999) · Nature Neuroscience · doi:10.1038/11197 · Cited by 608 · see citing works
Specific long-term memory traces in primary auditory cortex
Weinberger, N. M. (2004) · Nature reviews. Neuroscience · doi:10.1038/nrn1366 · Cited by 600 · see citing works
The learning curve: implications of a quantitative analysis.
Gallistel, C., Fairhurst, S. P., & Balsam, P. (2004) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.0404965101 · Cited by 587 · see citing works
Perceptual Learning Directs Auditory Cortical Map Reorganization through Top-Down Influences
Polley, D. B., Steinberg, E. E., & Merzenich, M. M. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.3771-05.2006 · Cited by 551 · see citing works
Fast Perceptual Learning in Visual Hyperacuity
Poggio, T., Fahle, M. W., & Edelman, S. (1992) · Science · doi:10.1126/science.1589770 · Cited by 541 · see citing works
K-Sample Anderson–Darling Tests
Scholz, F., & Stephens, M. A. (1987) · Journal of the American Statistical Association · doi:10.1080/01621459.1987.10478517 · Cited by 532 · see citing works
Fast 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 · see citing works
Theories of Associative Learning in Animals
Pearce, J. M., & Bouton, M. E. (2001) · Annual Review of Psychology · doi:10.1146/annurev.psych.52.1.111 · Cited by 493 · see citing works
Hazan, L., Zugaro, M. B., & Buzsáki, G. (2006) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2006.01.017 · Cited by 492 · see citing works
Perceptual learning and top-down influences in primary visual cortex
Li, W., Piëch, V., & Gilbert, C. D. (2004) · Nature Neuroscience · doi:10.1038/nn1255 · Cited by 474 · see citing works
Schroeder, C. (1998) · Cerebral Cortex · doi:10.1093/cercor/8.7.575 · Cited by 464 · see citing works
Acetylcholine contributes through muscarinic receptors to attentional modulation in V1
Herrero, J. L., Roberts, M. J., Delicato, L. S., Gieselmann, M. A., Dayan, P., & Thiele, A. (2008) · Nature · doi:10.1038/nature07141 · Cited by 459 · see citing works
In Vivo Measurement of Cortical Impedance Spectrum in Monkeys: Implications for Signal Propagation
Logothetis, N. K., Kayser, C., & Oeltermann, A. (2007) · Neuron · doi:10.1016/j.neuron.2007.07.027 · Cited by 447 · see citing works
The Effect of Perceptual Learning on Neuronal Responses in Monkey Visual Area V4
Yang, T., & Maunsell, J. H. R. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.4442-03.2004 · Cited by 427 · see citing works
How Monocular Deprivation Shifts Ocular Dominance in Visual Cortex of Young Mice
Frenkel, M. Y., & Bear, M. F. (2004) · Neuron · doi:10.1016/j.neuron.2004.12.003 · Cited by 412 · see citing works
Attentional Modulation Strength in Cortical Area MT Depends on Stimulus Contrast
Martínez-Trujillo, J., & Treue, S. (2002) · Neuron · doi:10.1016/s0896-6273(02)00778-x · Cited by 410 · see citing works
Learning Enhances Sensory and Multiple Non-sensory Representations in Primary Visual Cortex
Poort, J., Khan, A. G., Pachitariu, M., Nemri, A., Oršolić, I., Krupic, J., Bauža, M., Sahani, M., Keller, G. B., Mrsic‐Flogel, T. D., et al. (2015) · Neuron · doi:10.1016/j.neuron.2015.05.037 · Cited by 397 · see citing works
Schoups, A. A., Vogels, R., & Orban, G. A. (1995) · The Journal of Physiology · doi:10.1113/jphysiol.1995.sp020623 · Cited by 395 · see citing works
Neural correlates of perceptual learning: A functional MRI study of visual texture discrimination
Schwartz, S., Maquet, P., & Frith, C. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.242414599 · Cited by 388 · see citing works
Learning to see: experience and attention in primary visual cortex
Crist, R. E., Li, W., & Gilbert, C. D. (2001) · Nature Neuroscience · doi:10.1038/87470 · Cited by 364 · see citing works
Effects of Spatial Attention on Contrast Response Functions in Macaque Area V4
Williford, T., & Maunsell, J. H. R. (2006) · Journal of Neurophysiology · doi:10.1152/jn.01207.2005 · Cited by 353 · see citing works
Early and Late Mechanisms of Surround Suppression in Striate Cortex of Macaque
Webb, B. S., Dhruv, N. T., Solomon, S. G., Tailby, C., & Lennie, P. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.3414-05.2005 · Cited by 337 · see citing works
Neuronal Mechanisms of Visual Attention
Maunsell, J. H. R. (2015) · Annual Review of Vision Science · doi:10.1146/annurev-vision-082114-035431 · Cited by 332 · see citing works
Improvement in vernier acuity with practice
McKee, S. P., & Westhe, G. (1978) · Perception & Psychophysics · doi:10.3758/bf03206097 · Cited by 320 · see citing works
Different Dynamics of Performance and Brain Activation in the Time Course of Perceptual Learning
Yotsumoto, Y., Watanabe, T., & Sasaki, Y. (2008) · Neuron · doi:10.1016/j.neuron.2008.02.034 · Cited by 320 · see citing works
Physiological Correlates of Perceptual Learning in Monkey V1 and V2
Ghose, G. M., Yang, T., & Maunsell, J. H. R. (2002) · Journal of Neurophysiology · doi:10.1152/jn.00690.2001 · Cited by 310 · see citing works
Instructive Effect of Visual Experience in Mouse Visual Cortex
Frenkel, M. Y., Sawtell, N. B., DIOGO, A. C. M., Yoon, B.-J., Neve, R. L., & Bear, M. F. (2006) · Neuron · doi:10.1016/j.neuron.2006.06.026 · Cited by 309 · see citing works
Single-trial spike trains in parietal cortex reveal discrete steps during decision-making
Latimer, K. W., Yates, J. L., Meister, M. L. R., Huk, A. C., & Pillow, J. W. (2015) · Science · doi:10.1126/science.aaa4056 · Cited by 306 · see citing works
Subthreshold mechanisms underlying state-dependent modulation of visual responses
Bennett, C., Arroyo, S., & Hestrin, S. (2013) · Neuron · doi:10.1016/j.neuron.2013.08.007 · Cited by 292 · see citing works
Rats maintain an overhead binocular field at the expense of constant fusion
Wallace, D. J., Greenberg, D. S., Sawinski, J., Rulla, S., Notaro, G., & Kerr, J. N. D. (2013) · Nature · doi:10.1038/nature12153 · Cited by 289 · see citing works
Learning Strengthens the Response of Primary Visual Cortex to Simple Patterns
Furmanski, C. S., Schluppeck, D., & Engel, S. A. (2004) · Current Biology · doi:10.1016/j.cub.2004.03.032 · Cited by 286 · see citing works
Identification of a brainstem circuit regulating visual cortical state in parallel with locomotion
Lee, A. M., Hoy, J. L., Bonci, A., Wilbrecht, L., Stryker, M. P., & Niell, C. M. (2014) · Neuron · doi:10.1016/j.neuron.2014.06.031 · Cited by 282 · see citing works
Fast perceptual learning in hyperacuity
Fahle, M. W., Edelman, S., & Poggio, T. (1995) · Vision Research · doi:10.1016/0042-6989(95)00044-z · Cited by 266 · see citing works
Temporal maps and informativeness in associative learning
Balsam, P. D., & Gallistel, C. R. (2009) · Trends in Neurosciences · doi:10.1016/j.tins.2008.10.004 · Cited by 264 · see citing works
Effects of locomotion extend throughout the mouse early visual system
Erisken, S., Vaiceliunaite, A., Jurjut, O., Fiorini, M., Katzner, S., & Busse, L. (2014) · Current Biology · doi:10.1016/j.cub.2014.10.045 · Cited by 256 · see citing works
Self-citationTask difficulty modulates the activity of specific neuronal populations in primary visual cortex
Chen, Y., Martínez‐Conde, S., Macknik, S. L., Bereshpolova, Y., Swadlow, H. A., & Alonso, J. (2008) · Nature Neuroscience · doi:10.1038/nn.2147 · Cited by 251 · see citing works
Visual Experience Induces Long-Term Potentiation in the Primary Visual Cortex
Cooke, S. F., & Bear, M. F. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4333-10.2010 · Cited by 242 · see citing works
Attention, learning, and the value of information
Gottlieb, J. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.034 · Cited by 241 · cited 2× · see citing works
“Attention is, in fact, a key element in contemporary theories of associative learning (Mackintosh, 1975; Pearce and Hall, 1980; Gottlieb, 2012), and our paradigm might be well suited to reveal attentional effects: low levels of stimulus contrast make anticipation of the consequences difficult, and…”
BackgroundRapid development of learning-induced receptive field plasticity in the auditory cortex.
Edeline, J., Pham, P., & Weinberger, N. M. (1993) · Behavioral Neuroscience · doi:10.1037//0735-7044.107.4.539 · Cited by 237 · see citing works
Gateways of Ventral and Dorsal Streams in Mouse Visual Cortex
Wang, Q., Gao, E., & Burkhalter, A. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.3488-10.2011 · Cited by 232 · see citing works
Thalamus provides layer 4 of primary visual cortex with orientation- and direction-tuned inputs
Sun, W., Tan, Z., Mensh, B. D., & Ji, N. (2015) · Nature Neuroscience · doi:10.1038/nn.4196 · Cited by 231 · see citing works
Learning to Link Visual Contours
Li, W., Piëch, V., & Gilbert, C. D. (2008) · Neuron · doi:10.1016/j.neuron.2007.12.011 · Cited by 227 · see citing works
Cortical Map Plasticity Improves Learning but Is Not Necessary for Improved Performance
Reed, A., Riley, J. R., Carraway, R. S., Carrasco, A. E., Perez, C., Jakkamsetti, V., & Kilgard, M. P. (2011) · Neuron · doi:10.1016/j.neuron.2011.02.038 · Cited by 227 · see citing works
Gallistel, C. R., Mark, T. A., King, A. P., & Latham, P. E. (2001) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037//0097-7403.27.4.354 · Cited by 225 · see citing works
Adult Visual Cortical Plasticity
Gilbert, C. D., & Li, W. (2012) · Neuron · doi:10.1016/j.neuron.2012.06.030 · Cited by 223 · see citing works
Chronic cellular imaging of mouse visual cortex during operant behavior and passive viewing
Andermann, M. L. (2010) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2010.00003 · Cited by 217 · see citing works
A comparison of video and magnetic search coil recordings of mouse eye movements
Stahl, J. S., van Alphen, A. M., & Zeeuw, C. I. D. (2000) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(00)00218-1 · Cited by 205 · see citing works
Mouse Primary Visual Cortex Is Used to Detect Both Orientation and Contrast Changes
Glickfeld, L. L., Histed, M. H., & Maunsell, J. H. R. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3560-13.2013 · Cited by 205 · see citing works
Interactions between attention, context and learning in primary visual cortex
Gilbert, C. D., Ito, M., Kapadia, M. K., & Westheimer, G. (2000) · Vision Research · doi:10.1016/s0042-6989(99)00234-5 · Cited by 203 · see citing works
A Cholinergic Mechanism for Reward Timing within Primary Visual Cortex
Chubykin, A. A., Roach, E. B., Bear, M. F., & Shuler, M. G. H. (2013) · Neuron · doi:10.1016/j.neuron.2012.12.039 · Cited by 202 · see citing works
Learning to See the Difference Specifically Alters the Most Informative V4 Neurons
Raiguel, S., Vogels, R., Mysore, S. G., & Orban, G. A. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.0457-06.2006 · Cited by 200 · see citing works
Rapid development of learning-induced receptive field plasticity in the auditory cortex.
Edeline, J., Pham, P., & Weinberger, N. M. (1993) · Behavioral Neuroscience · doi:10.1037/0735-7044.107.4.539 · Cited by 196 · see citing works
Attention to Stimulus Features Shifts Spectral Tuning of V4 Neurons during Natural Vision
David, S. V., Hayden, B. Y., Mazer, J. A., & Gallant, J. L. (2008) · Neuron · doi:10.1016/j.neuron.2008.07.001 · Cited by 186 · see citing works
Gallistel, C. R., Mark, T. A., King, A. P., et al. (2001) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/0097-7403.27.4.354 · Cited by 174 · see citing works
Perceptual Learning Improves Contrast Sensitivity of V1 Neurons in Cats
Hua, T., Bao, P., Huang, C., Wang, Z., Xu, J., Zhou, Y., & Lu, Z. (2010) · Current Biology · doi:10.1016/j.cub.2010.03.066 · Cited by 156 · see citing works
Perceptual Learning Selectively Refines Orientation Representations in Early Visual Cortex
Jehee, J. F. M., Ling, S., Swisher, J. D., van Bergen, R. S., & Tong, F. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.6112-11.2012 · Cited by 156 · see citing works
Visual recognition memory, manifested as long-term habituation, requires synaptic plasticity in V1
Cooke, S. F., Komorowski, R. W., Kaplan, E. S., Gavornik, J. P., & Bear, M. F. (2015) · Nature Neuroscience · doi:10.1038/nn.3920 · Cited by 152 · see citing works
Dopamine Innervation in the Thalamus: Monkey versus Rat
García‐Cabezas, M. Á., Martínez‐Sánchez, P., Sánchez-González, M. Á., Garzón, M., & Cavada, C. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn093 · Cited by 149 · see citing works
The head-fixed behaving rat—Procedures and pitfalls
Schwarz, C., Hentschke, H., Butovas, S., Haiss, F., Stüttgen, M. C., Gerdjikov, T. V., Bergner, C. G., & Waiblinger, C. (2010) · Somatosensory & Motor Research · doi:10.3109/08990220.2010.513111 · Cited by 139 · see citing works
Intervening inhibition underlies simple-cell receptive field structure in visual cortex
Liu, B., Li, P., Sun, Y. J., Li, Y.-T., Zhang, L. I., & Tao, H. W. (2009) · Nature Neuroscience · doi:10.1038/nn.2443 · Cited by 122 · see citing works
A Cellular Correlate of Learning-induced Metaplasticity in the Hippocampus
Zelcer, I., Cohen, H., Richter‐Levin, G., Lebiosn, T., Grossberger, T., & Barkai, E. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi125 · Cited by 122 · see citing works
Psychophysical measurement of contrast sensitivity in the behaving mouse
Histed, M. H., Carvalho, L. A., & Maunsell, J. H. R. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00609.2011 · Cited by 121 · see citing works
Layer Specific Sharpening of Frequency Tuning by Selective Attention in Primary Auditory Cortex
O’Connell, M. N., Barczak, A., Schroeder, C. E., & Lakatos, P. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.2055-14.2014 · Cited by 97 · see citing works
Goltstein, P. M., Coffey, E. B. J., Roelfsema, P. R., & Pennartz, C. M. A. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.1341-12.2013 · Cited by 88 · see citing works
Quantitative analysis of spontaneous saccade-like rapid eye movements in C57BL/6 mice
Sakatani, T., & Isa, T. (2007) · Neuroscience Research · doi:10.1016/j.neures.2007.04.003 · Cited by 83 · see citing works
Kreile, A. K., Bonhoeffer, T., & Hübener, M. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2143-11.2011 · Cited by 82 · see citing works
Separable Codes for Attention and Luminance Contrast in the Primary Visual Cortex
Pooresmaeili, A., Poort, J., Thiele, A., & Roelfsema, P. R. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.1388-10.2010 · Cited by 68 · see citing works
Plasticity in the Visual System
Pinaud, R., Tremere, L. A., & Weerd, P. D. (2006) · Springer eBooks · doi:10.1007/0-387-28190-8 · Cited by 60 · see citing works
Bazhenov, M., Huerta, R., & Smith, B. H. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4145-12.2013 · Cited by 60 · see citing works
AUTOSHAPED HEAD POKING IN THE MOUSE: A QUANTITATIVE ANALYSIS OF THE LEARNING CURVE
Papachristos, E. B., & Gallistel, C. R. (2006) · Journal of the Experimental Analysis of Behavior · doi:10.1901/jeab.2006.71-05 · Cited by 54 · see citing works
Heumann, D., Leuba, G., & Rabinowicz, T. (1977) · PubMed · Cited by 50 · see citing works
Fee, M. S. (2012) · Frontiers in Neural Circuits · doi:10.3389/fncir.2012.00038 · Cited by 40 · see citing works
Contrast-dependent orientation discrimination in the mouse
Long, M., Jiang, W., Liu, D., & Yao, H. (2015) · Scientific Reports · doi:10.1038/srep15830 · Cited by 39 · see citing works
Higher brain functions served by the lowly rodent primary visual cortexPreprint
Gavornik, J. P., & Bear, M. F. (2014) · Learning & Memory · doi:10.1101/lm.034355.114 · Cited by 38 · see citing works
Cortical Synaptic Inhibition Declines during Auditory Learning
Sarro, E. C., von Trapp, G., Mowery, T. M., Kotak, V. C., & Sanes, D. H. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4051-14.2015 · Cited by 36 · see citing works
Progressive plasticity of auditory cortex during appetitive operant conditioning
Takahashi, H., Funamizu, A., Mitsumori, Y., Kose, H., & Kanzaki, R. (2010) · Biosystems · doi:10.1016/j.biosystems.2010.04.003 · Cited by 24 · see citing works
Attentional modulation in visual cortex is modified during perceptual learning
Bartolucci, M., & Smith, A. T. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.10.007 · Cited by 23 · see citing works
Attentional modulation in visual cortex is modified during perceptual learning
Bartolucci, M., & Smith, A. T. (2011) · F1000Research · doi:10.7490/f1000research.1490.1 · Cited by 11 · see citing works
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Ferguson, K. A., & Cardin, J. A. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0253-y · Cited by 327 · see citing works
Coherent encoding of subjective spatial position in visual cortex and hippocampus
Saleem, A. B., Diamanti, E. M., Fournier, J., Harris, K. D., & Carandini, M. (2018) · Nature · doi:10.1038/s41586-018-0516-1 · Cited by 239 · see citing works
Reward Association Enhances Stimulus-Specific Representations in Primary Visual Cortex
Henschke, J. U., Dylda, E., Katsanevaki, D., Dupuy, N., Currie, S. P., Amvrosiadis, T., Pakan, J. M. P., & Rochefort, N. L. (2020) · Current Biology · doi:10.1016/j.cub.2020.03.018 · Cited by 116 · see citing works
First spikes in visual cortex enable perceptual discrimination
Resulaj, A., Ruediger, S., Olsen, S. R., & Scanziani, M. (2018) · eLife · doi:10.7554/elife.34044 · Cited by 110 · see citing works
Experience shapes activity dynamics and stimulus coding of VIP inhibitory cells
Garrett, M., Manavi, S., Roll, K., Ollerenshaw, D. R., Groblewski, P. A., Ponvert, N. D., Kiggins, J. T., Casal, L., Mace, K. D., Williford, A., et al. (2020) · eLife · doi:10.7554/elife.50340 · Cited by 102 · see citing works
Tracing the Trajectory of Sensory Plasticity across Different Stages of Speech Learning in Adulthood
Reetzke, R., Xie, Z., Llanos, F., & Chandrasekaran, B. (2018) · Current Biology · doi:10.1016/j.cub.2018.03.026 · Cited by 90 · see citing works
Pakan, J. M. P., Currie, S. P., Fischer, L. F., & Rochefort, N. L. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.08.010 · Cited by 85 · see citing works
Spatiotemporal refinement of signal flow through association cortex during learning
Gilad, A., & Helmchen, F. (2020) · Nature Communications · doi:10.1038/s41467-020-15534-z · Cited by 83 · see citing works
Sensation during Active Behaviors
Busse, L., Cardin, J. A., Chiappe, M. E., Halassa, M. M., McGinley, M. J., Yamashita, T., & Saleem, A. B. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.1828-17.2017 · Cited by 80 · see citing works
Self-citationAction and learning shape the activity of neuronal circuits in the visual cortex
Pakan, J. M. P., Francioni, V., & Rochefort, N. L. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.04.020 · Cited by 75 · see citing works
Goltstein, P. M., Reinert, S., Glas, A., Bonhoeffer, T., & Hübener, M. (2018) · PLoS ONE · doi:10.1371/journal.pone.0204066 · Cited by 68 · see citing works
Intermingled Ensembles in Visual Association Cortex Encode Stimulus Identity or Predicted Outcome
Ramesh, R. N., Burgess, C. R., Sugden, A. U., Gyetvan, M., & Andermann, M. L. (2018) · Neuron · doi:10.1016/j.neuron.2018.09.024 · Cited by 64 · see citing works
Francioni, V., & Harnett, M. T. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.05.038 · Cited by 49 · see citing works
Hong, S. Z., Mesik, L., Grossman, C. D., Cohen, J. Y., Lee, B., Severín, D., Lee, H., Hell, J. W., & Kirkwood, A. (2022) · Nature Communications · doi:10.1038/s41467-022-30827-1 · Cited by 47 · see citing works
Dissociating Task Acquisition from Expression During Learning Reveals Latent Knowledge
Kuchibhotla, K. V., Sten, T. H., Papadoyannis, E. S., Elnozahy, S., Fogelson, K. A., Kumar, R., Boubenec, Y., Holland, P. C., Ostojic, S., & Froemke, R. C. (2018) · Nature Communications · doi:10.1038/s41467-019-10089-0 · Cited by 45 · 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
Generalization in data-driven models of primary visual cortexPreprint
Lurz, K.-K., Bashiri, M., Willeke, K. F., Jagadish, A. K., Wang, E. Y., Walker, E. Y., Cadena, S. A., Muhammad, T., Cobos, E., Tolias, A. S., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.10.05.326256 · Cited by 39 · see citing works
Organization of feedback projections to mouse primary visual cortex
Morimoto, M. M., Uchishiba, E., & Saleem, A. B. (2021) · iScience · doi:10.1016/j.isci.2021.102450 · Cited by 37 · see citing works
Behavioral and Neural Bases of Tactile Shape Discrimination Learning in Head-Fixed Mice
Kim, J., Erskine, A., Cheung, J. A., & Hires, S. A. (2020) · Neuron · doi:10.1016/j.neuron.2020.09.012 · Cited by 32 · see citing works
Learning shapes cortical dynamics to enhance integration of relevant sensory input
Chadwick, A., Khan, A. G., Poort, J., Blot, A., Hofer, S. B., Mrsic‐Flogel, T. D., & Sahani, M. (2022) · Neuron · doi:10.1016/j.neuron.2022.10.001 · Cited by 38 · see citing works
Contribution of Sensory Encoding to Measured Bias
Jin, M., & Glickfeld, L. L. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.0076-19.2019 · Cited by 31 · see citing works
Selective enhancement of neural coding in V1 underlies fine-discrimination learning in tree shrew
Schumacher, J. W., McCann, M. K., Maximov, K. J., & Fitzpatrick, D. (2022) · Current Biology · doi:10.1016/j.cub.2022.06.009 · Cited by 29 · see citing works
Ruediger, S., & Scanziani, M. (2020) · eLife · doi:10.7554/elife.59247 · Cited by 28 · see citing works
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
Unsupervised pretraining in biological neural networks
Zhong, L., Baptista, S., Gattoni, R., Arnold, J., Flickinger, D., Stringer, C., & Pachitariu, M. (2025) · Nature · doi:10.1038/s41586-025-09180-y · Cited by 29 · see citing works
Ray, A., Christian, J. A., Mosso, M. B., Park, E., Wegner, W., Willig, K. I., & Barth, A. L. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1372-22.2022 · Cited by 22 · see citing works
Visuomotor association orthogonalizes visual cortical population codesPreprint
Failor, S., Carandini, M., & Harris, K. D. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.23.445338 · Cited by 19 · see citing works
Reward Modulates Visual Responses in the Superficial Superior Colliculus of Mice
Baruchin, L. J., Alleman, M., & Schröder, S. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0089-23.2023 · Cited by 20 · see citing works
Vasilev, D., Havel, D., Liebscher, S., Slesiona-Kuenzel, S., Logothetis, N. K., Schenke-Layland, K., & Totah, N. K. B. (2021) · eNeuro · doi:10.1523/eneuro.0424-21.2021 · Cited by 17 · see citing works
Jeon, B. B., Fuchs, T. A. E., Chase, S. M., & Kuhlman, S. J. (2022) · Nature Communications · doi:10.1038/s41467-022-31440-y · Cited by 18 · see citing works
NMDAR-Dependent Emergence of Behavioral Representation in Primary Visual Cortex
Puścian, A., Benisty, H., & Higley, M. J. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107970 · Cited by 12 · see citing works
Amplified cortical neural responses as animals learn to use novel activity patterns
Akitake, B., Douglas, H. M., LaFosse, P. K., Beirán, M., Deveau, C. E., O’Rawe, J. F., Li, A. J., Ryan, L., Duffy, S. P., Zhou, Z., et al. (2023) · Current Biology · doi:10.1016/j.cub.2023.04.032 · Cited by 14 · see citing works
History information emerges in the cortex during learning
Marmor, O., Pollak, Y. E., Doron, C., Helmchen, F., & Gilad, A. (2022) · bioRxiv · doi:10.7554/elife.83702 · Cited by 15 · see citing works
Attentional modulation of secondary somatosensory and visual thalamus of micePreprint
Petty, G. H., & Bruno, R. M. (2024) · eLife · doi:10.7554/elife.97188.3 · Cited by 24 · see citing works
Dynamic Distortion of Orientation Representation after Learning in the Mouse Primary Visual Cortex
Corbo, J., McClure, J. P., Erkat, O. B., & Polack, P. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.2272-21.2022 · Cited by 13 · see citing works
Homeostatic regulation through strengthening of neuronal network-correlated synaptic inputs
Barnes, S. J., Keller, G. B., & Keck, T. (2022) · eLife · doi:10.7554/elife.81958 · Cited by 13 · see citing works
Failor, S., Carandini, M., & Harris, K. D. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115235 · Cited by 28 · see citing works
Amygdalo-cortical dialogue underlies memory enhancement by emotional association
Saito, Y., Osako, Y., Odagawa, M., Oisi, Y., Matsubara, C., Kato, S., Kobayashi, K., Morita, M., Johansen, J. P., & Murayama, M. (2025) · Neuron · doi:10.1016/j.neuron.2025.01.001 · Cited by 12 · see citing works
Hosang, L., Yusifov, R., & Löwel, S. (2018) · eNeuro · doi:10.1523/eneuro.0289-17.2017 · Cited by 12 · see citing works
Transient enhancement of stimulus-evoked activity in neocortex during sensory learningPreprint
Zhu, M., Kuhlman, S. J., & Barth, A. L. (2024) · Learning & Memory · doi:10.1101/lm.053870.123 · Cited by 12 · see citing works
Gavornik, J. P., & Bear, M. F. (2025) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2025.103019 · Cited by 11 · see citing works
Evaluating Visual Cues Modulates Their Representation in Mouse Visual and Cingulate Cortex
Wal, A., Klein, F. J., Born, G., Busse, L., & Katzner, S. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1828-20.2021 · Cited by 11 · see citing works
Self-citationProbabilistic discrimination of relative stimulus features in mice
Lyamzin, D. R., Aoki, R., Abdolrahmani, M., & Benucci, A. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2103952118 · Cited by 11 · see citing works
Moculus: an immersive virtual reality system for mice incorporating stereo vision
Judák, L., Dobos, G., Ócsai, K., Báthory, E., Szebik, H., Tarján, B., Maák, P. A., Szadai, Z., Takács, I., Chiovini, B., et al. (2024) · Nature Methods · doi:10.1038/s41592-024-02554-6 · Cited by 9 · see citing works
Park, E., Kuljis, D. A., Swindell, R. A., Ray, A., Zhu, M., Christian, J. A., & Barth, A. L. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115606 · Cited by 9 · see citing works
Portrait of visual cortical circuits for generating neural oscillation dynamics
Zhang, Y., & Zhang, X. (2020) · Cognitive Neurodynamics · doi:10.1007/s11571-020-09623-4 · Cited by 7 · see citing works
Motion Discrimination and the Motion Aftereffect in Mouse Vision
Samonds, J. M., Lieberman, S., & Priebe, N. J. (2018) · eNeuro · doi:10.1523/eneuro.0065-18.2018 · Cited by 9 · see citing works
Distinct streams for supervised and unsupervised learning in the visual cortexPreprint
Zhong, L., Baptista, S., Gattoni, R., Arnold, J., Flickinger, D., Stringer, C., & Pachitariu, M. (2024) · bioRxiv · doi:10.1101/2024.02.25.581990 · Cited by 7 · see citing works
Garrett, M. E., Manavi, S., Roll, K., Ollerenshaw, D. R., Groblewski, P. A., Kiggins, J., Jia, X., Casal, L., Mace, K. D., Williford, A., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/686063 · Cited by 7 · see citing works
Li, P.-Y., Jing, M., Cun, X.-F., Wu, N., Li, J., & Song, R. (2024) · Neuroscience Letters · doi:10.1016/j.neulet.2024.137997 · Cited by 6 · see citing works
V1 microcircuits underlying mouse visual behavior
Katzner, S., Born, G., & Busse, L. (2019) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2019.09.006 · Cited by 6 · see citing works
Self-citationContext flexibly modulates cue representations in visual cortex
Faulkner, A. D., Chiu, A. S., Sarabi, A., Karthik, S., Li, Y. S., & Burgess, C. R. (2025) · Nature Communications · doi:10.1038/s41467-025-61314-y · Cited by 5 · see citing works
Learning shapes cortical dynamics to enhance integration of relevant sensory inputPreprint
Chadwick, A., Khan, A. G., Poort, J., Blot, A., Hofer, S. B., Mrsic‐Flogel, T. D., & Sahani, M. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.08.02.454726 · Cited by 4 · see citing works
Discretized representations in V1 predict suboptimal orientation discrimination
Corbo, J., Erkat, O. B., McClure, J., Khdour, H. Y., & Polack, P. (2025) · Nature Communications · doi:10.1038/s41467-024-55409-1 · Cited by 4 · see citing works
Rachel, J., Möck, M., Daigle, T. L., Tasic, B., Witte, M., & Staiger, J. F. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.0949-24.2025 · Cited by 4 · see citing works
The Mouse Visual System and Visual Perception
Busse, L. (2018) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-812012-5.00004-5 · Cited by 4 · see citing works
Self-citationDai, J., & Sun, Q. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114672 · Cited by 3 · see citing works
Laniado, D. D., Maron, Y., Gemmer, J. A., & Sabbah, S. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115373 · Cited by 4 · see citing works
Wittkowski, J., Fritz, R. G., Meier, M., & Schmidtke, D. (2020) · Behavioural Brain Research · doi:10.1016/j.bbr.2020.113053 · Cited by 4 · see citing works
Attentional modulation of secondary somatosensory and visual thalamus of micePreprint
Petty, G. H., & Bruno, R. M. (2024) · eLife · doi:10.7554/elife.97188.1 · Cited by 4 · see citing works
Bissen, D., Cary, B. A., Zhang, A., Wen, W., Sailor, K. A., Hooser, S. D. V., & Turrigiano, G. G. (2026) · Neuron · doi:10.1016/j.neuron.2026.06.016 · Cited by 15 · see citing works
Emerging V1 neuronal ensembles with enhanced connectivity after associative learning
Si, Y., Su, W.-X., Chen, X., Li, Z.-Y., Yan, B., & Zhang, J. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1176253 · Cited by 3 · see citing works
Wang, M., Jendrichovsky, P., & Kanold, P. O. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114172 · Cited by 3 · see citing works
Pak, A., & Chubykin, A. A. (2020) · Cerebral Cortex Communications · doi:10.1093/texcom/tgaa066 · Cited by 2 · see citing works
The Role of Layer 6 Corticothalamic Circuits in Vision: Plasticity, Sensory Processing, and Behavior
Katzner, S., Rose, T., Tchumatchenko, T., & Busse, L. (2025) · Annual Review of Vision Science · doi:10.1146/annurev-vision-101322-012348 · Cited by 2 · see citing works
Self-citationWang, L., Quaia, C., Elliott, K., Cover, K. K., & Krauzlis, R. J. (2026) · Journal of Neuroscience · doi:10.1523/jneurosci.1187-25.2025 · Cited by 2 · see citing works
McCoy, E., Pendala, V., Fariborzi, M., Demir, L. Y., Buell, O., Fedde, S., Stinger, J., Elbaum, L., Holsworth, T. D., Amenyo-Awude, P., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-68948-6 · Cited by 2 · see citing works
Rozells, J., & Gavornik, J. P. (2023) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2023.1198128 · Cited by 2 · see citing works
Park, E., Kuljis, D. A., Zhu, M., Christian, J. A., & Barth, A. L. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.12.08.570881 · Cited by 2 · see citing works
Attentional modulation of secondary somatosensory and visual thalamus of micePreprint
Petty, G. H., & Bruno, R. M. (2024) · eLife · doi:10.7554/elife.97188.2 · Cited by 2 · see citing works
Movie reconstruction from mouse visual cortex activityPreprint
Bauer, J., Margrie, T. W., & Claudia Clopath, A. (2025) · eLife · doi:10.7554/elife.105081.1 · Cited by 2 · see citing works
Learning to learn: Single session acquisition of new rules by freely moving mice
Levi, A., Aviv, N., & Stark, E. (2024) · PNAS Nexus · doi:10.1093/pnasnexus/pgae203 · Cited by 1 · see citing works
Movie reconstruction from mouse visual cortex activity
Bauer, J., Margrie, T. W., & Claudia Clopath, A. (2026) · eLife · doi:10.1101/2024.06.19.599691 · Cited by 1 · see citing works
Esteves, I. M., Chang, H., Neumann, A. R., & McNaughton, B. L. (2025) · iScience · doi:10.1016/j.isci.2025.114487 · Cited by 1 · see citing works
Open-Source Platform for Adjustable Training Regimes in Freely Moving and Head-Fixed Mice
Crespo, M. D., Vaillancourt, S. M., Goldstein, E. A., Broderick, M. R., Neske, G. T., & Kuhlman, S. J. (2026) · eNeuro · doi:10.1523/eneuro.0459-25.2026 · Cited by 1 · see citing works
Bhatla, N., Cheong, K. C. T., Takahashi, S., Lay, C., Fiedeldey, M., Liang, K., Mao, M., Wu, Y.-F., Lu, S., Yun, K., et al. (2026) · Current Biology · doi:10.1016/j.cub.2026.03.031 · Cited by 1 · see citing works
Association learning drives synaptic plasticity at feedforward synapses in somatosensory cortex
Christian, J. A., Park, E., & Barth, A. L. (2026) · Cerebral Cortex · doi:10.1093/cercor/bhag047 · Cited by 1 · see citing works
Dynamic modulation of neural feedback processing and attention during spatial probabilistic learning
Pütz, C., van den Berg, B., & Lorist, M. M. (2022) · iScience · doi:10.1016/j.isci.2022.104302 · Cited by 1 · see citing works
Precise Memory is Predicted by Learning-Induced Sensory System Neurophysiological PlasticityPreprint
Rotondo, E. K., & Bieszczad, K. M. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/600866 · Cited by 1 · see citing works
Learning-induced reorganization of neuronal subnetworks in the primary sensory cortexPreprint
Yang, Y., Shen, H., & Kwon, S. E. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.02.21.529414 · Cited by 1 · see citing works
Dai, J., & Sun, Q. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.30.555603 · Cited by 1 · see citing works
Movie reconstruction from mouse visual cortex activityPreprint
Bauer, J., Margrie, T. W., & Claudia Clopath, A. (2025) · eLife · doi:10.7554/elife.105081.2 · Cited by 1 · see citing works
Robust Learning-Driven Structural and Functional Plasticity of Spines in the Mature Mouse CortexPreprint
Fariborzi, M., Eaves, D. G., Demir, L. Y., Wu, Y., Skeens, A., Hruska, M., & Ribic, A. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6946705 · Cited by 1 · see citing works
Neural ensemble activity depends on stimulus type in mouse primary visual cortexPreprint
Tolkiehn, M., & Schultz, S. R. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/708636
Temporo-nasally biased moving grating selectivity in mouse primary visual cortexPreprint
Tolkiehn, M., & Schultz, S. R. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/708644
Broom, E. (2019) · ORCA Online Research @Cardiff (Cardiff University)
Characterisation of neural activity across the mouse visual cortex during virtual navigation
Diamanti, E. M. (2018) · UCL Discovery (University College London)
Pütz, C., van den Berg, B., & Lorist, M. M. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.29.466415
Schoenbaum, G. M., & Costa, K. M. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.735754165.793563139
Visual cortex: How mice learn to detect entirely novel inputs
Marshel, J. H. (2023) · Current Biology · doi:10.1016/j.cub.2023.04.064
Margalit, S. N., & Slovin, H. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae165
Movie reconstruction from mouse visual cortex activityPreprint
Bauer, J., Margrie, T. W., & Claudia Clopath, A. (2025) · eLife · doi:10.7554/elife.105081
Spatial concepts and rodent maze studies
Dopkins, J. (2025) · Philosophical Psychology · doi:10.1080/09515089.2025.2491653
McClure, J. P., Váradi, M., & Poort, J. (2026) · Journal of Neuroscience · doi:10.1523/jneurosci.2051-25.2026
Information-theoretic gradient flows in mouse visual cortex
Fagerholm, E. D., Tanaka, H., & Brázdil, M. (2025) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2025.1700481
Visual experience drives functional reorganization of cortical GABAergic circuitsPreprint
Sun, S., Yue, Y., Li, Z., Perrenoud, Q., & Cardin, J. A. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.12.705412
Cortical representations of natural sounds probed with large-scale imaging in the ferret
Landemard, A. (2022) · theses.fr (ABES) · doi:10.70675/64b3a149zd9ccz4950za3ffz899741820735 · Cited by 1 · see citing works
Corbo, J., Caglar, L. R., Erkat, O. B., & Polack, P. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.08.29.747961
- Authors
- Jurjut, O., Georgieva, P., Busse, L., & Katzner, S.
- Affiliations
- University of Tübingen (DE)
- Corresponding author
- Katzner, Steffen
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2017-05-30
- Volume
- 37
- Issue
- 27
- Pages
- 6460-6474
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6596600
- OpenAlex
- W2949985012
- Cited by
- 99
- References
- 96
- Citations by year
- 2026: 11 · 2025: 16 · 2024: 12 · 2023: 10 · 2022: 9 · 2021: 8 · 2020: 12 · 2019: 8 · 2018: 12 · 2017: 1
- FWCI
- 5.18
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neuroscience (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Deutsche Forschungsgemeinschaft (DFG EXC307, EXC307)
- FP7 Ideas: European Research Council (281885)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- primary visual cortex, orientation discrimination, classical conditioning, visual learning, orientation tuning, contrast sensitivity, mice, visual cortex plasticity
- MeSH terms
- Animals, Behavior, Animal, Discrimination Learning, Female, Male, Mice, Inbred C57BL, Nerve Net, Neurons, Orientation, Task Performance and Analysis, Visual Cortex, Visual Perception, Mice
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