Neural correlations, population coding and computation

A Mathematical Theory of Communication

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An Information-Maximization Approach to Blind Separation and Blind Deconvolution

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Neuronal Population Coding of Movement Direction

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Multiprotocol-induced plasticity in artificial synapses

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A Neural Substrate for Rapid Timbre Recognition? Neural and Behavioral Discrimination of Very Brief Acoustic Vowels

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Sleep orchestrates indices of local plasticity and global network stability in the human cortex

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Computational approaches to the neuroscience of social perception

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Population Coding of Natural Electrosensory Stimuli by Midbrain Neurons

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Visual exposure enhances stimulus encoding and persistence in primary cortex

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Sensory Adaptation in the Whisker-Mediated Tactile System: Physiology, Theory, and Function

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Can motor volition be extracted from the spinal cord?

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Hierarchical differences in population coding within auditory cortex

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High precision coding in visual cortexPreprint

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Crossing the divide: a longitudinal study of effective treatments for people with autism and attention deficit hyperactivity disorder across the lifespan

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Existing function in primary visual cortex is not perturbed by new skill acquisition of a non-matched sensory task

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

Distributing task-related neural activity across a cortical network through task-independent connections

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

Orbitofrontal cortex conveys stimulus and task information to the auditory cortex

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Transformers and cortical waves: encoders for pulling in context across time

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Reconstruction of digit images from human brain fMRI activity through connectivity informed Bayesian networks

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Computational Classification Approach to Profile Neuron Subtypes from Brain Activity Mapping Data

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Ergodicity reveals assistance and learning from physical human-robot interaction

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Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits

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Temporally precise population coding of dynamic sounds by auditory cortex

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A general decoding strategy explains the relationship between behavior and correlated variability

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Determining the role of correlated firing in large populations of neurons using white noise and natural scene stimuli

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Diverse cortical codes for scene segmentation in primate auditory cortex

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Code Under Construction: Neural Coding Over Development

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Inferring decoding strategies for multiple correlated neural populations

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Lattice physics approaches for neural networks

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Stimulus-invariant aspects of the retinal code drive discriminability of natural scenes

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Altered functional interactions between neurons in primary visual cortex of macaque monkeys with experimental amblyopia

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Restricted Boltzmann Machines as Models of Interacting Variables

Bulso, N., & Roudi, Y. (2021) · Neural Computation · doi:10.1162/neco_a_01420 · Cited by 17

Mediodorsal thalamus regulates task uncertainty to enable cognitive flexibility

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Faithful Representation of Tactile Intensity under Different Contexts Emerges from the Distinct Adaptive Properties of the First Somatosensory Relay Stations

Mohar, B., Ganmor, E., & Lampl, I. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4358-14.2015 · Cited by 17

A consensus layer V pyramidal neuron can sustain interpulse-interval coding

Singh, C., & Levy, W. B. (2017) · PLoS ONE · doi:10.1371/journal.pone.0180839 · Cited by 18

Global Motion Processing by Populations of Direction-Selective Retinal Ganglion Cells

Cafaro, J., Zylberberg, J., & Field, G. D. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0564-20.2020 · Cited by 17

Post-silicon nano-electronic device and its application in brain-inspired chips

Lv, Y., Chen, H., Wang, Q., Li, X., Xie, C., & Song, Z. (2022) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2022.948386 · Cited by 17

Specific connectivity optimizes learning in thalamocortical loops

Lakshminarasimhan, K. J., Xie, M., Cohen, J. D., Sauerbrei, B., Hantman, A. W., Litwin-Kumar, A., & Escola, G. S. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114059 · Cited by 18

Transmission of Population-Coded Information

Renart, A., & van Rossum, M. C. W. (2011) · Neural Computation · doi:10.1162/neco_a_00227 · Cited by 17

Cognitive modulation of local and callosal neural interactions in decision making

Merchant, H., Crowe, D. A., Fortes, M. F., & Georgopoulos, A. P. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00245 · Cited by 17

Time–frequency analysis of neuronal populations with instantaneous resolution based on noise-assisted multivariate empirical mode decomposition

Alegre-Cortés, J., Soto‐Sánchez, C., Pizá, A. G., Albarracín, A. L., Farfán, F. D., Felice, C. J., & Fernández, E. (2016) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2016.03.018 · Cited by 17

Temporary Visual Deprivation Causes Decorrelation of Spatiotemporal Population Responses in Adult Mouse Auditory Cortex

Solarana, K., Liu, J., Bowen, Z., Lee, H., & Kanold, P. O. (2019) · eNeuro · doi:10.1523/eneuro.0269-19.2019 · Cited by 17

Activity in orbitofrontal neuronal ensembles reflects inhibitory control

Balasubramani, P. P., Pesce, M. C., & Hayden, B. Y. (2019) · European Journal of Neuroscience · doi:10.1111/ejn.14638 · Cited by 18

Tactile information processing in primate hand somatosensory cortex (S1) during passive arm movement

Song, W., & Francis, J. T. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00893.2012 · Cited by 17

Information Dynamics: Its Theory and Application to Embodied Cognitive Systems

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Targeted V1 comodulation supports task-adaptive sensory decisions

Haimerl, C., Ruff, D. A., Cohen, M. R., Savin, C., & Simoncelli, E. P. (2023) · Nature Communications · doi:10.1038/s41467-023-43432-7 · Cited by 16

Efficient population coding of naturalistic whisker motion in the ventro-posterior medial thalamus based on precise spike timing

Bale, M. R., Ince, R. A. A., Santagata, G., & Petersen, R. S. (2015) · Frontiers in Neural Circuits · doi:10.3389/fncir.2015.00050 · Cited by 16

Spatial precision of population activity in primate area MT

Chen, S. C., Morley, J. W., & Solomon, S. G. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00152.2015 · Cited by 16

Robust entropy requires strong and balanced excitatory and inhibitory synapses

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Effects of aging on encoding of walking direction in the human brain

Koch, C., Li, S., Polk, T. A., & Schuck, N. W. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107379 · Cited by 16

Symbolic analysis of bursting dynamical regimes of Rulkov neural networks

Budzinski, R. C., Lopes, S. R., & Masoller, C. (2021) · Neurocomputing · doi:10.1016/j.neucom.2020.05.122 · Cited by 16

Decoding the difference between explicit and implicit body expression representation in high level visual, prefrontal and inferior parietal cortex

Marrazzo, G., Vaessen, M. J., & de Gelder, B. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118545 · Cited by 16

Demonstration of Stochastic Resonance, Population Coding, and Population Voting Using Artificial MoS2 Based Synapses

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A toolbox for neuromorphic perception in robotics

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Perceptual decision related activity in the lateral geniculate nucleus

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Fronto-parietal organization for response times in inhibition of return: The FORTIOR model

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Complexity in Neuronal Noise Depends on Network Interconnectivity

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The thalamo-cortical complex network correlates of chronic pain

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Multivariate decoding and brain reading: Introduction to the special issue

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Quantitative evaluation of two-photon calcium imaging modalities for high-speed volumetric calcium imaging in scattering brain tissuePreprint

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The spatial scale of somatostatin subnetworks increases from sensory to association cortex

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Enhancing neural encoding models for naturalistic perception with a multi-level integration of deep neural networks and cortical networks

Li, Y., Yang, H., & Gu, S. (2024) · 中国科学通报：英文版 · doi:10.1016/j.scib.2024.02.035 · Cited by 17

Representational maps in the brain: concepts, approaches, and applications

Noda, T., Aschauer, D. F., Chambers, A. R., Seiler, J. P.-H., & Rumpel, S. (2024) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2024.1366200 · Cited by 16

Focal seizures induce spatiotemporally organized spiking activity in the human cortex

Diamond, J. M., Chapeton, J. I., Xie, W., Jackson, S. N., Inati, S. K., & Zaghloul, K. A. (2024) · Nature Communications · doi:10.1038/s41467-024-51338-1 · Cited by 15

Modulation of metastable ensemble dynamics explains the inverted-U relationship between tone discriminability and arousal in auditory cortex

Papadopoulos, L., Jo, S., Zumwalt, K., Wehr, M., Jaramillo, S., McCormick, D. A., & Mazzucato, L. (2025) · Neuron · doi:10.1016/j.neuron.2025.11.011 · Cited by 16

High noise correlation between the functionally connected neurons in emergent V1 microcircuits

Bharmauria, V., Bachatene, L., Cattan, S., Chanauria, N., Rouat, J., & Molotchnikoff, S. (2015) · Experimental Brain Research · doi:10.1007/s00221-015-4482-7 · Cited by 16

Local non-linear interactions in the visual cortex may reflect global decorrelation

Vanni, S., & Rosenström, T. H. (2010) · Journal of Computational Neuroscience · doi:10.1007/s10827-010-0239-2 · Cited by 15

Anatomical Constraints on Lateral Competition in Columnar Cortical Architectures

Muir, D. R., & Cook, M. (2014) · Neural Computation · doi:10.1162/neco_a_00613 · Cited by 15

Decoding sound level in the marmoset primary auditory cortex

Sun, W., Marongelli, E. N., Watkins, P. V., & Barbour, D. L. (2017) · Journal of Neurophysiology · doi:10.1152/jn.00670.2016 · Cited by 15

Clustering promotes switching dynamics in networks of noisy neurons

Franović, I., & Klinshov, V. V. (2018) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.5017822 · Cited by 15

Voxel-to-voxel predictive models reveal unexpected structure in unexplained variance

Mell, M. M., St-Yves, G., & Naselaris, T. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118266 · Cited by 16

Understanding multivariate brain activity: Evaluating the effect of voxelwise noise correlations on population codes in functional magnetic resonance imaging

Zhang, R., Wei, X.-X., & Kay, K. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008153 · Cited by 17

Coding of object location by heterogeneous neural populations with spatially dependent correlations in weakly electric fish

Haggard, M., & Chacron, M. J. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010938 · Cited by 15

Laminar mechanisms of saccadic suppression in primate visual cortex

Denagamage, S., Morton, M. P., Hudson, N. V., Reynolds, J. H., Jadi, M. P., & Nandy, A. S. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112720 · Cited by 16

Unveiling the metric structure of internal representations of space

Stella, F., Cerasti, E., & Treves, A. (2013) · Frontiers in Neural Circuits · doi:10.3389/fncir.2013.00081 · Cited by 16

The Temporal Winner-Take-All Readout

Shamir, M. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000286 · Cited by 16

Decorrelation of Spiking Variability and Improved Information Transfer Through Feedforward Divisive Normalization

Tripp, B. (2011) · Neural Computation · doi:10.1162/neco_a_00255 · Cited by 15

Linking Neuronal Ensembles by Associative Synaptic Plasticity

Yuan, Q., Isaacson, J. S., & Scanziani, M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0020486 · Cited by 15

Rate, not selectivity, determines neuronal population coding accuracy in auditory cortex

Sun, W., & Barbour, D. L. (2017) · PLoS Biology · doi:10.1371/journal.pbio.2002459 · Cited by 15

Ensemble inhibition and excitation in the human cortex: An Ising-model analysis with uncertainties

Zanoci, C., Dehghani, N., & Tegmark, M. (2019) · Physical review. E · doi:10.1103/physreve.99.032408 · Cited by 16

Distinct Excitatory and Inhibitory Bump Wandering in a Stochastic Neural Field

Cihak, H. L., Eissa, T. L., & Kilpatrick, Z. P. (2022) · SIAM Journal on Applied Dynamical Systems · doi:10.1137/22m1482329 · Cited by 17

The Effects of Methylphenidate (Ritalin) on the Neurophysiology of the Monkey Caudal Prefrontal Cortex

Tremblay, S., Pieper, F., Sachs, A. J., Joober, R., & Martínez-Trujillo, J. (2019) · eNeuro · doi:10.1523/eneuro.0371-18.2018 · Cited by 15

Predictive coding with spiking neurons and feedforward gist signaling

Lee, K., Dora, S., Mejias, J. F., Bohte, S. M., & Pennartz, C. M. A. (2024) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2024.1338280 · Cited by 14

Clarifying the conceptual dimensions of representation in neuroscience

Pohl, S., Walker, E. Y., Barack, D. L., Lee, J., Denison, R. N., Block, N. J., Meyniel, F., & Ma, W. J. (2026) · Nature reviews. Neuroscience · doi:10.1038/s41583-026-01030-8 · Cited by 16

Strong neuron-to-body coupling implies weak neuron-to-neuron coupling in motor cortex

Kells, P. A., Gautam, S. H., Fakhraei, L., Li, J., & Shew, W. L. (2019) · Nature Communications · doi:10.1038/s41467-019-09478-2 · Cited by 14

Weak evidence for neural correlates of task-switching in macaque V1

Lange, R. D., Gómez-Laberge, C., Berezovskii, V. K., Pletenev, A., Sherdil, A., Hartmann, T. S., Haefner, R. M., & Born, R. T. (2023) · Journal of Neurophysiology · doi:10.1152/jn.00085.2022 · Cited by 14

Thermal illusions for thermal displays: a review

Karmakar, S., Kesh, A., & Manivannan, M. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2023.1278894 · Cited by 14

Population encoding of stimulus features along the visual hierarchy

Dyballa, L., Rudzite, A. M., Hoseini, M. S., Thapa, M., Stryker, M. P., Field, G. D., & Zucker, S. W. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2317773121 · Cited by 19

Method for stationarity-segmentation of spike train data with application to the Pearson cross-correlation

Quiroga-Lombard, C. S., Haß, J., & Durstewitz, D. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00186.2013 · Cited by 14

Population coding for neuromorphic hardware

Khan, S. Q., Ghani, A., & Khurram, M. (2017) · Neurocomputing · doi:10.1016/j.neucom.2017.02.013 · Cited by 14

Advancing System Performance with Redundancy: From Biological to Artificial Designs

Nguyen, A. T., Xu, J., Luu, D. K., Zhao, Q., & Yang, Z. (2019) · Neural Computation · doi:10.1162/neco_a_01166 · Cited by 14

Population Coding and Correlated Variability in Electrosensory Pathways

Hofmann, V., & Chacron, M. J. (2018) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2018.00056 · Cited by 16

Invariant neural responses for sensory categories revealed by the time-varying information for communication calls

Elie, J. E., & Theunissen, F. E. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006698 · Cited by 14

Probing the neural dynamics of mnemonic representations after the initial consolidation

Liu, W., Kohn, N., & Fernández, G. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117213 · Cited by 16

Revisiting Persistent Neuronal Activity During Covert Spatial Attention

Amengual, J. L., & Hamed, S. B. (2021) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.679796 · Cited by 17

A Deep Neural Network-Based Spike Sorting With Improved Channel Selection and Artefact Removal

Okreghe, C., Zamani, M., & Demosthenous, A. (2023) · IEEE Access · doi:10.1109/access.2023.3242643 · Cited by 15

Pattern activation/recognition theory of mind

du Castel, B. (2015) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2015.00090 · Cited by 14

Modeling Population Spike Trains with Specified Time-Varying Spike Rates, Trial-to-Trial Variability, and Pairwise Signal and Noise Correlations

Lyamzin, D. R., Macke, J. H., & Lesica, N. A. (2010) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2010.00144 · Cited by 14

Mutual Information Expansion for Studying the Role of Correlations in Population Codes: How Important Are Autocorrelations?

Scaglione, A., Foffani, G., Scannella, G., Cerutti, S., & Moxon, K. A. (2008) · Neural Computation · doi:10.1162/neco.2008.08-07-595 · Cited by 14

Asymmetry between ON and OFF α ganglion cells of mouse retina: integration of signal and noise from synaptic inputs

Freed, M. A. (2017) · The Journal of Physiology · doi:10.1113/jp274736 · Cited by 14

Linking neural responses to behavior with information-preserving population vectors

Sharpee, T. O., & Berkowitz, J. A. (2019) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2019.03.004 · Cited by 14

Implications on cerebellar function from information coding

Huang, C. (2008) · The Cerebellum · doi:10.1007/s12311-008-0032-1 · Cited by 14

Learning Spike-Based Population Codes by Reward and Population Feedback

Friedrich, J. H., Urbanczik, R., & Senn, W. (2010) · Neural Computation · doi:10.1162/neco.2010.05-09-1010 · Cited by 14

Effects of noise correlations on population coding

Miura, K. (2012) · Joint International Conference on Soft Computing and Intelligent Systems and International Symposium on Advanced Intelligent Systems (SCIS&ISIS) · doi:10.1109/scis-isis.2012.6505071 · Cited by 3

The Geometry of Information Coding in Correlated Neural Populations

da Silveira, R. A., & Rieke, F. M. (2021) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-120320-082744 · Cited by 59

Correlations and Neuronal Population Information

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