Enhanced Spatial Resolution During Locomotion and Heightened Attention in Mouse Primary Visual Cortex
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UNLABELLED: We do not fully understand how behavioral state modulates the processing and transmission of sensory signals. Here, we studied the cortical representation of the retinal image in mice that spontaneously switched between a state of rest and a constricted pupil, and one of active locomotion and a dilated pupil, indicative of heightened attention. We measured the selectivity of neurons in primary visual cortex for orientation and spatial frequency, as well as their response gain, in these two behavioral states. Consistent with prior studies, we found that preferred orientation and spatial frequency remained invariant across states, whereas response gain increased during locomotion relative to rest. Surprisingly, relative gain, defined as the ratio between the gain during locomotion and the gain during rest, was not uniform across the population. Cells tuned to high spatial frequencies showed larger relative gain compared with those tuned to lower spatial frequencies. The preferential enhancement of high-spatial-frequency information was also reflected in our ability to decode the stimulus from population activity. Finally, we show that changes in gain originate from shifts in the operating point of neurons along a spiking nonlinearity as a function of behavioral state. Differences in the relative gain experienced by neurons with high and low spatial frequencies are due to corresponding differences in how these cells shift their operating points between behavioral states. SIGNIFICANCE STATEMENT: How behavioral state modulates the processing and transmission of sensory signals remains poorly understood. Here, we show that the mean firing rate and neuronal gain increase during locomotion as a result in a shift of the operating point of neurons. We define relative gain as the ratio between the gain of neurons during locomotion and rest. Interestingly, relative gain is higher in cells with preferences for higher spatial frequencies than those with low-spatial-frequency selectivity. This means that, during a state of locomotion and heightened attention, the population activity in primary visual cortex can support better spatial acuity, a phenomenon that parallels the improved spatial resolution observed in human subjects during the allocation of spatial attention.
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Contrast-invariant tuning is an example of gain modulation induced by changes in sensory stimulation, in which neurons respond to stimuli of different contrast while preserving selectivity for other properties such as orientation and spatial frequency.
“Contrast-invariant tuning is an example of gain modulation that is induced by changes in sensory stimulation, in which neurons respond to stimuli of different levels of contrast while preserving their selectivity for other properties, such as orientation and spatial frequency27–29.”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [27]
Using two separate decoders during still and active periods does not improve stimulus prediction, indicating that a model with a single mode of gain modulation best reflects improvements in encoding between the two states.
“Using two separate decoders during still and active periods does not improve stimulus prediction, indicating that a model with a single mode of gain modulation best reflects the improvements in encoding between the two states27,37.”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [27]
Decoders predicting presence of visual stimuli from neural responses are more accurate when using mouse cortex activity during locomotion than during quiescence.
“Decoders that predict the presence of visual stimuli on the basis of neural responses are more accurate when they use neural activity recorded in the mouse cortex during locomotion than that during quiescence27,37”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [27]
Variability in stimulus-tuning preferences may further contribute to heterogeneous distribution of gain modulation.
“Variability in stimulus-tuning preferences may further contribute to the heterogeneous distribution of gain modulation27”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [27]
Cites
Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601 · see citing works
(2005) · Springer eBooks · doi:10.1007/0-387-27255-0_9 · Cited by 20,333 · see citing works
McCullagh, P., & Nelder, J. A. (1989) · doi:10.1007/978-1-4899-3242-6 · Cited by 16,836 · see citing works
Ultrasensitive fluorescent proteins for imaging neuronal activity
Chen, T.-W., Wardill, T. J., Sun, Y., Pulver, S. R., Renninger, S. L., Baohan, A., Schreiter, E. R., Kerr, R. A., Orger, M. B., Jayaraman, V., et al. (2013) · Nature · doi:10.1038/nature12354 · Cited by 6,474 · see citing works
Task-evoked pupillary responses, processing load, and the structure of processing resources.
Beatty, J. (1982) · Psychological Bulletin · doi:10.1037/0033-2909.91.2.276 · Cited by 1,959 · see citing works
The locus coeruleus and noradrenergic modulation of cognition
Sara, S. J. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2573 · Cited by 1,848 · 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 4× · see citing works
“Interestingly, in mice, prior work has shown that visually evoked responses increase during locomotion relative to rest, with tuning curves being modulated multiplicatively (Niell and Stryker, 2010).”
InfluentialThe Normalization Model of Attention
Reynolds, J. H., & Heeger, D. J. (2009) · Neuron · doi:10.1016/j.neuron.2009.01.002 · Cited by 1,457 · see citing works
The cost of cortical computation.
Lennie, P. (2003) · Current Biology · doi:10.1016/s0960-9822(03)00135-0 · Cited by 1,134 · 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 1× · see citing works
“Growing evidence indicates that, during periods of locomotion, VIP interneurons (cells expressing the vasoactive intestinal polypeptide) increase their firing rates and inhibit SOM interneurons (somatostatin-expressing inhibitory neurons; Fu et al., 2014).”
Harris, K. D., & Thiele, A. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3084 · Cited by 871 · see citing works
Wavelet Threshold Estimators for Data with Correlated Noise
Johnstone, I. M., & Silverman, B. W. (1997) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/1467-9868.00071 · Cited by 847 · see citing works
Pupil diameter covaries with BOLD activity in human locus coeruleus
Murphy, P. R., O'Connell, R. G., O'Sullivan, M., Robertson, I. H., & Balsters, J. H. (2014) · Human Brain Mapping · doi:10.1002/hbm.22466 · Cited by 819 · see citing works
Internal brain state regulates membrane potential synchrony in barrel cortex of behaving mice
Poulet, J. F. A., & Petersen, C. C. H. (2008) · Nature · doi:10.1038/nature07150 · Cited by 796 · see citing works
Pupil fluctuations track fast switching of cortical states during quiet wakefulness
Reimer, J., Froudarakis, E., Cadwell, C. R., Yatsenko, D., Denfield, G. H., & Tolias, A. S. (2014) · Neuron · doi:10.1016/j.neuron.2014.09.033 · Cited by 717 · cited 2× · see citing works
“Even in the awake state, levels of attention and alertness fluctuate over time (Reimer et al., 2014).”
A neural circuit for spatial summation in visual cortex
Adesnik, H., Bruns, W., Taniguchi, H., Huang, Z. J., & Scanziani, M. (2012) · Nature · doi:10.1038/nature11526 · Cited by 702 · see citing works
Sensorimotor mismatch signals in primary visual cortex of the behaving mouse
Keller, G. B., Bonhoeffer, T., & Hübener, M. (2012) · Neuron · doi:10.1016/j.neuron.2012.03.040 · Cited by 668 · see citing works
Neuromodulation of Brain States
Lee, S., & Dan, Y. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.012 · Cited by 666 · see citing works
Reward Timing in the Primary Visual Cortex
Shuler, M. G. H., & Bear, M. F. (2006) · Science · doi:10.1126/science.1123513 · Cited by 650 · 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
Basal forebrain activation enhances cortical coding of natural scenes
Goard, M. J., & Dan, Y. (2009) · Nature Neuroscience · doi:10.1038/nn.2402 · Cited by 558 · see citing works
Optimal representation of sensory information by neural populations
Jazayeri, M., & Movshon, J. A. (2006) · Nature Neuroscience · doi:10.1038/nn1691 · Cited by 530 · see citing works
Fast nonnegative deconvolution for spike train inference from population calcium imaging
Vogelstein, J. T., Packer, A. M., Machado, T. A., Sippy, T., Babadi, B., Yuste, R., & Paninski, L. (2010) · Journal of Neurophysiology · doi:10.1152/jn.01073.2009 · Cited by 449 · see citing works
Integration of visual motion and locomotion in mouse visual cortex
Saleem, A. B., Ayaz, A., Jeffery, K. J., Harris, K. D., & Carandini, M. (2013) · Nature Neuroscience · doi:10.1038/nn.3567 · Cited by 402 · see citing works
Reading population codes: a neural implementation of ideal observers
Denève, S., Latham, P. E., & Pouget, A. (1999) · Nature Neuroscience · doi:10.1038/11205 · Cited by 392 · see citing works
COMPLETE FUNCTIONAL CHARACTERIZATION OF SENSORY NEURONS BY SYSTEM IDENTIFICATION
Wu, M. C., David, S. V., & Gallant, J. L. (2006) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.113024 · Cited by 332 · 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
Attentional enhancement of spatial resolution: linking behavioural and neurophysiological evidence
Anton-Erxleben, K., & Carrasco, M. (2013) · Nature reviews. Neuroscience · doi:10.1038/nrn3443 · Cited by 289 · see citing works
Covert attention increases spatial resolution with or without masks: Support for signal enhancement
Carrasco, M., Williams, P. E., & Yeshurun, Y. (2002) · Journal of Vision · doi:10.1167/2.6.4 · Cited by 282 · 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
Locomotion controls spatial integration in mouse visual cortex
Ayaz, A., Saleem, A. B., Schölvinck, M. L., & Carandini, M. (2013) · Current Biology · doi:10.1016/j.cub.2013.04.012 · Cited by 249 · see citing works
Decoding the activity of neuronal populations in macaque primary visual cortex
Graf, A. B. A., Kohn, A., Jazayeri, M., & Movshon, J. A. (2011) · Nature Neuroscience · doi:10.1038/nn.2733 · Cited by 247 · see citing works
Sensory stimulation shifts visual cortex from synchronous to asynchronous states
Tan, A. Y. Y., Chen, Y., Scholl, B., Seidemann, E., & Priebe, N. J. (2014) · Nature · doi:10.1038/nature13159 · Cited by 206 · see citing works
Parallel processing of visual space by neighboring neurons in mouse visual cortex
Smith, S. L., & Häusser, M. (2010) · Nature Neuroscience · doi:10.1038/nn.2620 · Cited by 205 · see citing works
A subspace reverse-correlation technique for the study of visual neurons
Ringach, D. L., Sapiro, G., & Shapley, R. M. (1997) · Vision Research · doi:10.1016/s0042-6989(96)00247-7 · Cited by 202 · see citing works
Self-citationAutomated correction of fast motion artifacts for two-photon imaging of awake animals
Greenberg, D. S., & Kerr, J. N. D. (2008) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2008.08.020 · Cited by 163 · see citing works
Ozden, I., Lee, H. M., Sullivan, M. R., & Wang, S. S. ‐. (2008) · Journal of Neurophysiology · doi:10.1152/jn.01310.2007 · Cited by 90 · see citing works
How Attention Affects Spatial ResolutionPreprint
Carrasco, M., & Barbot, A. (2014) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2014.79.024687 · Cited by 88 · see citing works
Full identification of a linear-nonlinear system via cross-correlation analysis
Nykamp, D. Q., & Ringach, D. L. (2002) · Journal of Vision · doi:10.1167/2.1.1 · Cited by 75 · see citing works
Self-citationCovert attention effects on spatial resolution
Carrasco, M., & Yeshurun, Y. (2009) · Progress in brain research · doi:10.1016/s0079-6123(09)17605-7 · Cited by 72 · see citing works
Inferring input nonlinearities in neural encoding models
Ahrens, M. B., Paninski, L., & Sahani, M. (2008) · Network Computation in Neural Systems · doi:10.1080/09548980701813936 · Cited by 72 · see citing works
Improvement of visual acuity by spatial cueing: a comparative study in human and non-human primates
Golla, H., Ignashchenkova, A., Haarmeier, T., & Thier, P. (2004) · Vision Research · doi:10.1016/j.visres.2004.01.009 · Cited by 70 · see citing works
Nicotinic modulation of cortical circuits
Arroyo, S., Bennett, C., & Hestrin, S. (2014) · Frontiers in Neural Circuits · doi:10.3389/fncir.2014.00030 · Cited by 64 · see citing works
Barlow, H. B., & Olshausen, B. A. (2004) · Journal of Vision · doi:10.1167/4.6.1 · Cited by 56 · see citing works
The Operating Point of the Cortex: Neurons as Large Deviation Detectors
Ringach, D. L., & Malone, B. J. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.1048-07.2007 · Cited by 55 · see citing works
Self-citationGetting Drowsy? Alert/Nonalert Transitions and Visual Thalamocortical Network Dynamics
Bereshpolova, Y., Stoelzel, C. R., Zhuang, J., Amitai, Y., Alonso, J., & Swadlow, H. A. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2262-11.2011 · Cited by 50 · see citing works
A structured matrix factorization framework for large scale calcium imaging data analysisPreprint
Pnevmatikakis, E. A., Gao, Y., Soudry, D., Pfau, D., Lacefield, C., Poskanzer, K. E., Bruno, R. M., Yuste, R., & Paninski, L. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1409.2903 · Cited by 42 · see citing works
Granit, R. (1975) · Medical Entomology and Zoology · Cited by 29 · see citing works
Toward the design of robust interdomain routing protocols
Jaggard, A. D., & Ramachandran, V. (2005) · IEEE Network · doi:10.1109/mnet.2005.1541719 · Cited by 28 · see citing works
Brain State Effects on Layer 4 of the Awake Visual Cortex
Zhuang, J., Bereshpolova, Y., Stoelzel, C. R., Huff, J. M., Hei, X., Alonso, J., & Swadlow, H. A. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4969-13.2014 · Cited by 26 · see citing works
Dynamics of Tuning in the Fourier Domain
Malone, B. J., & Ringach, D. L. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90273.2008 · Cited by 23 · see citing works
Self-citationThe role of serotonin in visuomotor activity
Aicken, M. D., Williams, J., & Mon-Williams, M. A. (2004) · Journal of Vision · doi:10.1167/4.8.415 · Cited by 5 · see citing works
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Mechanisms underlying gain modulation in the cortex
Ferguson, K. A., & Cardin, J. A. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0253-y · Cited by 327 · see citing works
Representational drift in the mouse visual cortex
Deitch, D., Rubin, A., & Ziv, Y. (2021) · Current Biology · doi:10.1016/j.cub.2021.07.062 · Cited by 227 · see citing works
Locomotion Enhances Neural Encoding of Visual Stimuli in Mouse V1
Dadarlat, M. C., & Stryker, M. P. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.2728-16.2017 · Cited by 205 · see citing works
Goel, A., Cantu, D. A., Guilfoyle, J. L., Chaudhari, G., Newadkar, A., Todisco, B., de Alba, D., Kourdougli, N., Schmitt, L., Pedapati, E. V., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0231-0 · Cited by 177 · see citing works
Spatial attention alters visual appearance
Carrasco, M., & Barbot, A. (2019) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2018.10.010 · Cited by 161 · see citing works
He, C. X., Cantu, D. A., Mantri, S. S., Zeiger, W., Goel, A., & Portera‐Cailliau, C. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.0651-17.2017 · Cited by 140 · see citing works
The Mouse Superior Colliculus: An Emerging Model for Studying Circuit Formation and Function
Ito, S., & Feldheim, D. A. (2018) · Frontiers in Neural Circuits · doi:10.3389/fncir.2018.00010 · Cited by 144 · see citing works
Developmental Dysfunction of VIP Interneurons Impairs Cortical Circuits
Batista-Brito, R., Vinck, M., Ferguson, K. A., Chang, J. T., Laubender, D., Lur, G., Mossner, J. M., Hernandez, V. G., Ramakrishnan, C., Deisseroth, K., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.07.034 · Cited by 135 · see citing works
Guo, C., Blair, G. J., Sehgal, M., Jimka, F. N. S., Bellafard, A., Silva, A. J., Golshani, P., Basso, M. A., Blair, H. T., & Aharoni, D. B. (2023) · Science Advances · doi:10.1126/sciadv.adg3918 · Cited by 133 · see citing works
EZcalcium: Open-Source Toolbox for Analysis of Calcium Imaging Data
Cantu, D. A., Wang, B., Gongwer, M. W., He, C. X., Goel, A., Suresh, A., Kourdougli, N., Arroyo, E. D., Zeiger, W., & Portera‐Cailliau, C. (2020) · Frontiers in Neural Circuits · doi:10.3389/fncir.2020.00025 · Cited by 120 · see citing works
Functional dissection of signal and noise in MT and LIP during decision-making
Yates, J. L., Park, I. M., Katz, L. N., Pillow, J. W., & Huk, A. C. (2017) · Nature Neuroscience · doi:10.1038/nn.4611 · Cited by 116 · 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
Neural correlates of sparse coding and dimensionality reduction
Beyeler, M., Rounds, E. L., Carlson, K. D., Dutt, N., & Krichmar, J. L. (2019) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1006908 · Cited by 104 · see citing works
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Shimaoka, D., Harris, K. D., & Carandini, M. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.02.092 · Cited by 105 · see citing works
Ito, S., Feldheim, D. A., & Litke, A. M. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3689-16.2017 · Cited by 92 · see citing works
An inhibitory pull–push circuit in frontal cortex
García‐Junco‐Clemente, P., Ikrar, T., Tring, E., Xu, X., Ringach, D. L., & Trachtenberg, J. T. (2017) · Nature Neuroscience · doi:10.1038/nn.4483 · Cited by 84 · see citing works
Self-citationContextual signals in visual cortex
Khan, A. G., & Hofer, S. B. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.05.003 · Cited by 81 · 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
Locomotion modulates specific functional cell types in the mouse visual thalamus
Aydın, Ç., Couto, J., Giugliano, M., Farrow, K., & Bonin, V. (2018) · Nature Communications · doi:10.1038/s41467-018-06780-3 · Cited by 73 · see citing works
Action 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
Kourdougli, N., Suresh, A., Liu, B., Juárez, P., Lin, A., Chung, D. T., Sams, A. G., Gandal, M. J., Martínez‐Cerdeño, V., Buonomano, D. V., et al. (2023) · Neuron · doi:10.1016/j.neuron.2023.06.009 · Cited by 68 · see citing works
Activity in primate visual cortex is minimally driven by spontaneous movements
Talluri, B. C., Kang, I., Lazere, A., Quinn, K. R., Kaliss, N., Yates, J. L., Butts, D. A., & Nienborg, H. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01459-5 · Cited by 72 · see citing works
Movement and VIP Interneuron Activation Differentially Modulate Encoding in Mouse Auditory Cortex
Bigelow, J., Morrill, R. J., DeKloe, J., & Hasenstaub, A. R. (2019) · eNeuro · doi:10.1523/eneuro.0164-19.2019 · Cited by 66 · see citing works
To look or not to look: dissociating presaccadic and covert spatial attention
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Three brain states in the hippocampus and cortex
Kay, K., & Frank, L. M. (2018) · Hippocampus · doi:10.1002/hipo.22956 · Cited by 63 · see citing works
Cortical control of behavior and attention from an evolutionary perspective
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Integration of locomotion and auditory signals in the mouse inferior colliculus
Yang, Y., Lee, J., & Kim, G. (2020) · eLife · doi:10.7554/elife.52228 · Cited by 61 · see citing works
Neske, G. T., Nestvogel, D., Steffan, P. J., & McCormick, D. A. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.1226-18.2019 · Cited by 57 · see citing works
Attention Modifies Spatial Resolution According to Task Demands
Barbot, A., & Carrasco, M. (2017) · Psychological Science · doi:10.1177/0956797616679634 · Cited by 59 · see citing works
Lee, C. R., & Margolis, D. J. (2016) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2016.00200 · Cited by 57 · see citing works
Vision Changes the Cellular Composition of Binocular Circuitry during the Critical Period
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Self-citationRetinal Inputs to the Thalamus Are Selectively Gated by Arousal
Liang, L., Fratzl, A., Reggiani, J. D. S., Mansour, O. E., Chen, C., & Andermann, M. L. (2020) · Current Biology · doi:10.1016/j.cub.2020.07.065 · Cited by 56 · see citing works
Effects of Locomotion on Visual Responses in the Mouse Superior Colliculus
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Lin, P.-A., Asinof, S. K., Edwards, N. J., & Isaacson, J. S. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1911383116 · Cited by 51 · see citing works
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The Effect of Locomotion on Early Visual Contrast Processing in Humans
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State-Dependent Subnetworks of Parvalbumin-Expressing Interneurons in Neocortex
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Self-citationLi, H.-H., Pan, J., & Carrasco, M. (2019) · Scientific Reports · doi:10.1038/s41598-018-38262-3 · Cited by 42 · see citing works
Salinas, K. J., Velez, D. X. F., Zeitoun, J. H., Kim, H., & Gandhi, S. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.1484-17.2017 · Cited by 41 · see citing works
Top-down modulation of the retinal code via histaminergic neurons of the hypothalamus
Warwick, R. A., Riccitelli, S., Heukamp, A. S., Yaakov, H., Swain, B. P., Ankri, L., Mayzel, J., Gilead, N., Parness-Yossifon, R., Marco, S. D., et al. (2024) · Science Advances · doi:10.1126/sciadv.adk4062 · Cited by 39 · see citing works
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Najafi, F., & Churchland, A. K. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.017 · Cited by 37 · see citing works
Pennartz, C. M. A., Oude Lohuis, M. N., & Olcese, U. (2023) · Philosophical Transactions of the Royal Society B · doi:10.1098/rstb.2022.0336 · Cited by 38 · see citing works
Functional flexibility in cortical circuits
Cardin, J. A. (2019) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2019.09.008 · Cited by 37 · see citing works
Sensory experience steers representational drift in mouse visual cortex
Bauer, J., Lewin, U., Herbert, E., Gjorgjieva, J., Schoonover, C. E., Fink, A. J. P., Rose, T., Bonhoeffer, T., & Hübener, M. (2024) · Nature Communications · doi:10.1038/s41467-024-53326-x · Cited by 41 · see citing works
Kjærby, C., Rasmussen, R. N., Andersen, M., & Nedergaard, M. (2017) · Neurochemical Research · doi:10.1007/s11064-017-2195-y · Cited by 32 · see citing works
Sörensen, L. K. A., Bohté, S. M., Slagter, H. A., & Scholte, H. S. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009976 · Cited by 29 · see citing works
Horrocks, E. A. B., Rodrigues, F. R., & Saleem, A. B. (2024) · Nature Communications · doi:10.1038/s41467-024-50563-y · Cited by 30 · see citing works
Sensory- and Motor-Related Responses of Layer 1 Neurons in the Mouse Visual Cortex
Mesik, L., Huang, J. J., Zhang, L. I., & Tao, H. W. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.1722-19.2019 · Cited by 31 · see citing works
Vision is required for the formation of binocular neurons prior to the classical critical period
Tan, L., Ringach, D. L., Zipursky, S. L., & Trachtenberg, J. T. (2021) · Current Biology · doi:10.1016/j.cub.2021.07.053 · Cited by 30 · see citing works
Self-citationIndependent response modulation of visual cortical neurons by attentional and behavioral states
Kanamori, T., & Mrsic‐Flogel, T. D. (2022) · Neuron · doi:10.1016/j.neuron.2022.08.028 · Cited by 30 · see citing works
Detailed characterization of neural selectivity in free viewing primates
Yates, J. L., Coop, S. H., Sarch, G. H., Wu, R.-J., Butts, D. A., Rucci, M., & Mitchell, J. F. (2023) · Nature Communications · doi:10.1038/s41467-023-38564-9 · Cited by 29 · see citing works
Wybo, W. A. M., Tsai, M. C., Tran, V. A., Illing, B., Jordan, J., Morrison, A., & Senn, W. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2300558120 · Cited by 26 · see citing works
A Versatile Method for Viral Transfection of Calcium Indicators in the Neonatal Mouse Brain
He, C. X., Arroyo, E. D., Cantu, D. A., Goel, A., & Portera‐Cailliau, C. (2018) · Frontiers in Neural Circuits · doi:10.3389/fncir.2018.00056 · Cited by 26 · see citing works
Running modulates primate and rodent visual cortex differently
Liska, J. P., Rowley, D. P., Nguyen, T. T. K., Muthmann, J.-O., Butts, D. A., Yates, J. L., & Huk, A. C. (2024) · eLife · doi:10.7554/elife.87736.3 · Cited by 27 · see citing works
Lourenço, J., Koukouli, F., & Bacci, A. (2020) · Cortex · doi:10.1016/j.cortex.2020.08.015 · Cited by 22 · see citing works
Vivaldo, C. A., Lee, J., Shorkey, M., Keerthy, A., & Rothschild, G. (2023) · PLoS Biology · doi:10.1371/journal.pbio.3002277 · Cited by 25 · see citing works
Donaldson, P. D., Navabi, Z. S., Carter, R. E., Fausner, S. M. L., Ghanbari, L., Ebner, T. J., Swisher, S. L., & Kodandaramaiah, S. B. (2022) · Advanced Healthcare Materials · doi:10.1002/adhm.202200626 · Cited by 23 · see citing works
The geometry of masking in neural populations
Ringach, D. L. (2019) · Nature Communications · doi:10.1038/s41467-019-12881-4 · Cited by 19 · see citing works
Self-citationCortical acetylcholine dynamics are predicted by cholinergic axon activity and behavior state
Neyhart, E., Zhou, N., Munn, B., Law, R., Smith, C. L., Mridha, Z., Blanco, F. A., Li, G., Li, Y., Hu, M., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114808 · Cited by 23 · see citing works
The influence of locomotion on sensory processing and its underlying neuronal circuits
Busse, L. (2018) · e-Neuroforum · doi:10.1515/nf-2017-a046 · Cited by 23 · see citing works
Havenith, M. N., Zijderveld, P. M., van Heukelum, S., Abghari, S., Glennon, J. C., & Tiesinga, P. H. E. (2018) · Scientific Reports · doi:10.1038/s41598-018-34966-8 · Cited by 20 · see citing works
Ganea, D. A., Bexter, A., Günther, M., Gardères, P.-M., Kampa, B. M., & Haiss, F. (2020) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2020.00159 · Cited by 20 · see citing works
Walking humans and running mice: perception and neural encoding of optic flow during self-motion
Horrocks, E. A. B., Mareschal, I., & Saleem, A. B. (2022) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2021.0450 · Cited by 25 · see citing works
Probing mechanisms of visual spatial attention in mice
Speed, A., & Haider, B. (2021) · Trends in Neurosciences · doi:10.1016/j.tins.2021.07.009 · Cited by 21 · see citing works
Human visual processing during walking: Dissociable pre- and post-stimulus influences
Chen, X., Cao, L., & Händel, B. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119757 · Cited by 20 · see citing works
Downer, J. D., Verhein, J. R., Rapone, B. C., O’Connor, K. N., & Sutter, M. L. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0693-20.2021 · Cited by 16 · see citing works
Beyond Rehabilitation of Acuity, Ocular Alignment, and Binocularity in Infantile Strabismus
Milleret, C., & Quoc, E. B. (2018) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2018.00029 · Cited by 19 · see citing works
Kowalewski, N. N., Kauttonen, J., Stan, P. L., Jeon, B. B., Fuchs, T. A. E., Chase, S. M., Lee, T. S., & Kuhlman, S. J. (2020) · Current Biology · doi:10.1016/j.cub.2020.10.046 · Cited by 19 · 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
Antagonistic inhibitory subnetworks control cooperation and competition across cortical spacePreprint
Mossing, D. P., Veit, J., Palmigiano, A., Miller, K. D., & Adesnik, H. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.03.31.437953 · Cited by 16 · see citing works
Exploring Thalamocortical Interactions
Sherman, S. M., & Usrey, W. M. (2021) · Oxford University Press eBooks · doi:10.1093/med/9780197503874.001.0001 · Cited by 14 · see citing works
Arousal and Locomotion Differently Modulate Activity of Somatostatin Neurons across Cortex
Khoury, C. F., Fala, N. G., & Runyan, C. A. (2023) · eNeuro · doi:10.1523/eneuro.0136-23.2023 · Cited by 10 · see citing works
High-resolution structural and functional retinal imaging in the awake behaving mouse
Feng, G., Joseph, A., Dholakia, K. Y., Shang, F., Pfeifer, C. W., Power, D. G., Padmanabhan, K., & Schallek, J. B. (2023) · Communications Biology · doi:10.1038/s42003-023-04896-x · Cited by 12 · see citing works
Yanagihara, S., & Yazaki‐Sugiyama, Y. (2018) · Behavioural Processes · doi:10.1016/j.beproc.2018.04.003 · Cited by 12 · see citing works
Running modulates primate and rodent visual cortex differentlyPreprint
Liska, J. P., Rowley, D. P., Nguyen, T. T. K., Muthmann, J.-O., Butts, D. A., Yates, J. L., & Huk, A. C. (2023) · eLife · doi:10.7554/elife.87736 · Cited by 16 · see citing works
Beyond Fixation: detailed characterization of neural selectivity in free-viewing primatesPreprint
Yates, J. L., Coop, S. H., Sarch, G. H., Wu, R.-J., Butts, D. A., Rucci, M., & Mitchell, J. F. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.11.06.467566 · Cited by 11 · see citing works
Hippocampal conjunctive and complementary CA1 populations relate sensory events to movement
Inayat, S., McAllister, B. B., Whishaw, I. Q., & Mohajerani, M. H. (2023) · iScience · doi:10.1016/j.isci.2023.106481 · Cited by 10 · see citing works
Cannabinoids modulate associative cerebellar learning via alterations in behavioral state
Albergaria, C., Silva, N. T., Darmohray, D. M., & Carey, M. R. (2020) · eLife · doi:10.7554/elife.61821 · Cited by 10 · 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
Is the impact of spontaneous movements on early visual cortex species specific?
Kang, I., Talluri, B. C., Yates, J. L., Niell, C. M., & Nienborg, H. (2024) · Trends in Neurosciences · doi:10.1016/j.tins.2024.11.006 · Cited by 9 · see citing works
Havenith, M. N., Zijderveld, P. M., van Heukelum, S., Abghari, S., Tiesinga, P. H. E., & Glennon, J. C. (2019) · Scientific Reports · doi:10.1038/s41598-019-41250-w · Cited by 9 · see citing works
Spontaneous movements and their impact on neural activity fluctuate with latent engagement statesPreprint
Yin, C., Melin, M. D., Rojas-Bowe, G., Couto, J., Sun, X., Gluf, S., Kostiuk, A., Musall, S., & Churchland, A. K. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.06.26.546404 · Cited by 10 · see citing works
Attention Decorrelates Sensory and Motor Signals in the Mouse Visual CortexPreprint
Abdolrahmani, M., Lyamzin, D. R., Aoki, R., & Benucci, A. (2021) · SSRN Electronic Journal · doi:10.1101/615229 · Cited by 8 · see citing works
Yang, Q., Baror-Sebban, S., Kipper, R., London, M., & Adam, Y. (2026) · Neuron · doi:10.1016/j.neuron.2025.12.040 · Cited by 7 · see citing works
Liu, J., & Kanold, P. O. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.12.12.520155 · Cited by 7 · see citing works
Active learning of cortical connectivity from two-photon imaging data
Bertrán, M., Martínez, N., Wang, Y., Dunson, D. B., Sapiro, G., & Ringach, D. L. (2018) · PLoS ONE · doi:10.1371/journal.pone.0196527 · Cited by 6 · see citing works
Self-citationBarbot, A. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2691-16.2016 · Cited by 6 · see citing works
Barnes, L., Davidson, M., & Alais, D. (2024) · Attention Perception & Psychophysics · doi:10.3758/s13414-024-02932-4 · Cited by 5 · see citing works
Running modulates primate and rodent visual cortex differentlyPreprint
Liska, J. P., Rowley, D. P., Nguyen, T. T. K., Muthmann, J.-O., Butts, D. A., Yates, J. L., & Huk, A. C. (2023) · eLife · doi:10.7554/elife.87736.1 · Cited by 5 · see citing works
Traceable teleportation: Improving spatial learning in virtual locomotion
Jia, Y., Sin, Z. P. T., Li, C., Ng, P. H. F., Huang, X. X., Baciu, G., Cao, J., & Li, Q. (2024) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2024.103399 · Cited by 4 · see citing works
Visual acuity performance level is independent of locomotionPreprint
Swain, A. D., Park, E., Cheng, Z., Kowalewski, N. N., Sun, A., Allen, T., & Kuhlman, S. J. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/750844 · Cited by 4 · see citing works
Revealing abrupt transitions from goal-directed to habitual behaviorPreprint
Moore, S., Wang, Z., Zhu, Z., Sun, R., Lee, Á., Charles, A. S., & Kuchibhotla, K. V. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.07.05.547783 · Cited by 4 · see citing works
Untangling cortical maps in mouse primary visual cortexPreprint
Jimenez, L. O., Tring, E., Trachtenberg, J. T., & Ringach, D. L. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/102079 · Cited by 3 · see citing works
Self-citationGoel, A., Cantu, D. A., Guilfoyle, J. L., Chaudhari, G., Newadkar, A., Todisco, B., de Alba, D., Kourdougli, N., Schmitt, L., Pedapati, E. V., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/217414 · Cited by 3 · see citing works
Selective gating of retinal information by arousalPreprint
Liang, L., Fratzl, A., Mansour, O. E., Reggiani, J. D. S., Chen, C., & Andermann, M. L. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.12.989913 · Cited by 3 · see citing works
Behavioral state tunes mouse vision to ethological features through pupil dilationPreprint
Franke, K., Willeke, K. F., Ponder, K., Galdamez, M., Muhammad, T., Patel, S. S., Froudarakis, E., Reimer, J., Sinz, F. H., & Tolias, A. S. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.09.03.458870 · Cited by 3 · see citing works
Sharing the spotlight: Uncovering common attentional dynamics across species
Glukhova, M., Tlaie, A., Taylor, R. T., Ferracci, P.-A., Shapcott, K. A., Mert, B., Arne, O., Ciuparu, A., Muresan, R. C., Havenith, M. N., et al. (2026) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1014191 · Cited by 2 · see citing works
Spike Timing and Thalamocortical Interactions
Usrey, W. M., & Sherman, S. M. (2021) · Oxford University Press eBooks · doi:10.1093/med/9780197503874.003.0010 · Cited by 2 · see citing works
- Authors
- Mineault, P. J., Tring, E., Trachtenberg, J. T., & Ringach, D. L.
- Affiliations
- University of California, Los Angeles (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2016-06-15
- Volume
- 36
- Issue
- 24
- Pages
- 6382-6392
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC4909779
- OpenAlex
- W2443622370
- Cited by
- 148
- References
- 52
- Citations by year
- 2026: 12 · 2025: 5 · 2024: 18 · 2023: 15 · 2022: 10 · 2021: 30 · 2020: 12 · 2019: 12 · 2018: 20 · 2017: 12 · 2016: 2
- FWCI
- 9.66
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Neuroscience (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Eye Institute (R01EY018322, R01EY023871)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- primary visual cortex, behavioral state, locomotion, attention, miosis, relative gains, spatial frequency selectivity, orientation selectivity, spatial acuity, mice
- MeSH terms
- Orientation, Spatial, Action Potentials, Animals, Attention, Female, Locomotion, Male, Mice, Inbred C57BL, Neurons, Photic Stimulation, Transduction, Genetic, Visual Cortex, Linear Models, Mice
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