Laminar dependence of neuronal correlations in visual cortex

Distributed hierarchical processing in the primate cerebral cortex

Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783

Preface: Cerebral Cortex Has Come of Age

Goldman, P. S., & RAKIC, P. T. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1-a · Cited by 3,537

Interneurons of the neocortical inhibitory system

Markram, H., Toledo-Rodriguez, M., Wang, Y., Gupta, A., Silberberg, G., & Wu, C. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1519 · Cited by 2,954

Society for Neuroscience 2007 abstracts

Wishart, T. M., Paterson, J. M., Short, D. M., Meredith, S., Robertson, K., Sutherland, C. D., Cousin, M. A., Dutia, M. B., & Gillingwater, T. H. (2007) · Cited by 2,094

Neural correlations, population coding and computation

Averbeck, B. B., Latham, P. E., & Pouget, A. (2006) · Nature reviews. Neuroscience · doi:10.1038/nrn1888 · Cited by 1,743

Neuronal gamma-band synchronization as a fundamental process in cortical computation

Fries, P. (2009) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.051508.135603 · Cited by 1,713

Cellular and network mechanisms of rhythmic recurrent activity in neocortex

Sanchez-Vives, M. V., & McCormick, D. A. (2000) · Nature Neuroscience · doi:10.1038/79848 · Cited by 1,539

Spatial frequency selectivity of cells in macaque visual cortex

De Valois, R. L., Albrecht, D. G., & Thorell, L. G. (1982) · Vision Research · doi:10.1016/0042-6989(82)90113-4 · Cited by 1,489

Correlated neuronal discharge rate and its implications for psychophysical performance

Zohary, E., Shadlen, M. N., & Newsome, W. T. (1994) · Nature · doi:10.1038/370140a0 · Cited by 1,237

The Asynchronous State in Cortical Circuits

Renart, A., de la Rocha, J., Bartho, P., Hollender, L., Parga, N., Reyes, A., & Harris, K. D. (2010) · Science · doi:10.1126/science.1179850 · Cited by 1,106

The neocortical circuit: themes and variations

Harris, K. D., & Shepherd, G. M. G. (2015) · Nature Neuroscience · doi:10.1038/nn.3917 · Cited by 1,215

Working Memory 2.0

Miller, E. K., Lundqvist, M., & Bastos, A. M. (2018) · Neuron · doi:10.1016/j.neuron.2018.09.023 · Cited by 797

Cortical Areas Interact through a Communication Subspace

Semedo, J. D., Zandvakili, A., Machens, C. K., Yu, B. M., & Kohn, A. (2019) · Neuron · doi:10.1016/j.neuron.2019.01.026 · Cited by 395

Correlations and Neuronal Population Information

Kohn, A., Coen-Cagli, R., Kanitscheider, I., & Pouget, A. (2016) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-070815-013851 · Cited by 372

State Dependence of Noise Correlations in Macaque Primary Visual Cortex

Ecker, A. S., Berens, P., Cotton, R. J., Subramaniyan, M., Denfield, G. H., Cadwell, C. R., Smirnakis, S. M., Bethge, M., & Tolias, A. S. (2014) · Neuron · doi:10.1016/j.neuron.2014.02.006 · Cited by 338

What does gamma coherence tell us about inter-regional neural communication?

Buzsáki, G., & Schomburg, E. W. (2015) · Nature Neuroscience · doi:10.1038/nn.3952 · Cited by 333

Layer and rhythm specificity for predictive routing

Bastos, A. M., Lundqvist, M., Waite, A. S., Kopell, N., & Miller, E. K. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2014868117 · Cited by 268

Laminar recordings in frontal cortex suggest distinct layers for maintenance and control of working memory

Bastos, A. M., Loonis, R., Kornblith, S., Lundqvist, M., & Miller, E. K. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1710323115 · Cited by 290

Communication through coherence with inter-areal delays

Bastos, A. M., Vezoli, J., & Fries, P. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.11.001 · Cited by 280

Robust Gamma Coherence between Macaque V1 and V2 by Dynamic Frequency Matching

Roberts, M. J., Lowet, E., Brunet, N. M., Wal, M. T., Tiesinga, P. H. E., Fries, P., & Weerd, P. D. (2013) · Neuron · doi:10.1016/j.neuron.2013.03.003 · Cited by 257

Do gamma oscillations play a role in cerebral cortex?

Ray, S., & Maunsell, J. H. R. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.12.002 · Cited by 272

The spatial structure of correlated neuronal variability

Rosenbaum, R., Smith, M. A., Kohn, A., Rubin, J. E., & Doiron, B. (2016) · Nature Neuroscience · doi:10.1038/nn.4433 · Cited by 233

Mechanical failure modes of chronically implanted planar silicon-based neural probes for laminar recording

Kozai, T. D. Y., Catt, K. A., Li, X., Gugel, Z. V., Olafsson, V. T., Vazquez, A. L., & Cui, X. T. (2014) · Biomaterials · doi:10.1016/j.biomaterials.2014.10.040 · Cited by 214

Attention can either increase or decrease spike count correlations in visual cortex

Ruff, D. A., & Cohen, M. R. (2014) · Nature Neuroscience · doi:10.1038/nn.3835 · Cited by 196

Gamma and the Coordination of Spiking Activity in Early Visual Cortex

Jia, X., Tanabe, S., & Kohn, A. (2013) · Neuron · doi:10.1016/j.neuron.2012.12.036 · Cited by 179

Laminar Organization of Attentional Modulation in Macaque Visual Area V4

Nandy, A. S., Nassi, J. J., & Reynolds, J. H. (2016) · Neuron · doi:10.1016/j.neuron.2016.11.029 · Cited by 155

A DCM study of spectral asymmetries in feedforward and feedback connections between visual areas V1 and V4 in the monkey

Bastos, A. M., Litvak, V., Moran, R., Bosman, C. A., Fries, P., & Friston, K. J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.081 · Cited by 152

Comprehensive chronic laminar single-unit, multi-unit, and local field potential recording performance with planar single shank electrode arrays

Kozai, T. D. Y., Du, Z. J., Gugel, Z. V., Smith, M. A., Chase, S. M., Bodily, L., Caparosa, E. M., Friedlander, R. M., & Cui, X. T. (2014) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.12.010 · Cited by 137

Effects of caspase-1 knockout on chronic neural recording quality and longevity: Insight into cellular and molecular mechanisms of the reactive tissue response

Kozai, T. D. Y., Li, X., Bodily, L. M., Caparosa, E. M., Zenonos, G. A., Carlisle, D. L., Friedlander, R. M., & Cui, X. T. (2014) · Biomaterials · doi:10.1016/j.biomaterials.2014.08.006 · Cited by 136

Multi-scale, multi-modal analysis uncovers complex relationship at the brain tissue-implant neural interface: new emphasis on the biological interface

Michelson, N. J., Vazquez, A. L., Eles, J. R., Salatino, J. W., Purcell, E. K., Williams, J. J., Cui, X. T., & Kozai, T. D. Y. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa9dae · Cited by 126

Simultaneous Recordings from the Primary Visual Cortex and Lateral Geniculate Nucleus Reveal Rhythmic Interactions and a Cortical Source for Gamma-Band Oscillations

Bastos, A. M., Briggs, F., Alitto, H. J., Mangun, G. R., & Usrey, W. M. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4216-13.2014 · Cited by 126

High-density extracellular probes reveal dendritic backpropagation and facilitate neuron classification

Jia, X., Siegle, J. H., Bennett, C., Gale, S. D., Denman, D. J., Koch, C., & Olsen, S. R. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00680.2018 · Cited by 130

Coordinated Neuronal Activity Enhances Corticocortical Communication

Zandvakili, A., & Kohn, A. (2015) · Neuron · doi:10.1016/j.neuron.2015.07.026 · Cited by 122

A ubiquitous spectrolaminar motif of local field potential power across the primate cortex

Mendoza-Halliday, D., Major, A. J., Lee, N., Lichtenfeld, M. J., Carlson, B. M., Mitchell, B., Meng, P. D., Xiong, Y., Westerberg, J. A., Jia, X., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-023-01554-7 · Cited by 126

Spatial and Temporal Scales of Neuronal Correlation in Visual Area V4

Smith, M. A., & Sommer, M. A. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4782-12.2013 · Cited by 123

Coding principles of the canonical cortical microcircuit in the avian brain

Calabrese, A., & Woolley, S. M. N. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1408545112 · Cited by 115

Improved Estimation and Interpretation of Correlations in Neural Circuits

Yatsenko, D., Josić́, K., Ecker, A. S., Froudarakis, E., Cotton, R. J., & Tolias, A. S. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004083 · Cited by 97

Reliability of directional information in unsorted spikes and local field potentials recorded in human motor cortex

Perge, J. A., Zhang, S., Malik, W. Q., Homer, M. L., Cash, S. S., Friehs, G. M., Eskandar, E. N., Donoghue, J. P., & Hochberg, L. R. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/4/046007 · Cited by 104

Population coding in mouse visual cortex: response reliability and dissociability of stimulus tuning and noise correlation

Montijn, J. S., Vinck, M. A., & Pennartz, C. M. A. (2014) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2014.00058 · Cited by 92

Snapshots of the Brain in Action: Local Circuit Operations through the Lens of γ Oscillations

Cardin, J. A. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1021-16.2016 · Cited by 92

Emerging principles of population coding: in search for the neural code

Shamir, M. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.01.002 · Cited by 85

Self-Organization of Microcircuits in Networks of Spiking Neurons with Plastic Synapses

Ocker, G. K., Litwin-Kumar, A., & Doiron, B. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004458 · Cited by 86

Sensory coding accuracy and perceptual performance are improved during the desynchronized cortical state

Beaman, C. B., Eagleman, S. L., & Dragoi, V. (2017) · Nature Communications · doi:10.1038/s41467-017-01030-4 · Cited by 80

Ongoing Alpha Activity in V1 Regulates Visually Driven Spiking Responses

Dougherty, K., Cox, M. A., Ninomiya, T., Leopold, D. A., & Maier, A. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv304 · Cited by 75

Human electromagnetic and haemodynamic networks systematically converge in unimodal cortex and diverge in transmodal cortex

Shafiei, G., Baillet, S., & Mišić, B. (2022) · PLoS Biology · doi:10.1371/journal.pbio.3001735 · Cited by 76

Directed information exchange between cortical layers in macaque V1 and V4 and its modulation by selective attention

Ferro, D., van Kempen, J., Boyd, M., Panzeri, S., & Thiele, A. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2022097118 · Cited by 75

Synaptic Input Correlations Leading to Membrane Potential Decorrelation of Spontaneous Activity in Cortex

Graupner, M., & Reyes, A. D. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0347-13.2013 · Cited by 69

Attentional fluctuations induce shared variability in macaque primary visual cortex

Denfield, G. H., Ecker, A. S., Shinn, T., Bethge, M., & Tolias, A. S. (2018) · Nature Communications · doi:10.1038/s41467-018-05123-6 · Cited by 66

Spontaneous Neural Dynamics and Multi-scale Network Organization

Foster, B. L., He, B. J., Honey, C. J., Jerbi, K., Maier, A., & Saalmann, Y. B. (2016) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2016.00007 · Cited by 63

Microcircuitry of agranular frontal cortex: contrasting laminar connectivity between occipital and frontal areas

Ninomiya, T., Dougherty, K., Godlove, D. C., Schall, J. D., & Maier, A. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00624.2014 · Cited by 60

Lamina-specific cortical dynamics in human visual and sensorimotor cortices

Bonaiuto, J. J., Meyer, S. S., Little, S. J., Rossiter, H. E., Callaghan, M. F., Dick, F., Barnes, G. R., & Bestmann, S. (2018) · eLife · doi:10.7554/elife.33977 · Cited by 67

Rhythm and Synchrony in a Cortical Network Model

Chariker, L., Shapley, R. M., & Young, L.-S. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0675-18.2018 · Cited by 59

Non-invasive laminar inference with MEG: Comparison of methods and source inversion algorithms

Bonaiuto, J. J., Rossiter, H. E., Meyer, S. S., Adams, N., Little, S. J., Callaghan, M. F., Dick, F., Bestmann, S., & Barnes, G. R. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.11.068 · Cited by 57

Dynamics of excitatory and inhibitory networks are differentially altered by selective attention

Snyder, A. C., Morais, M. J., & Smith, M. A. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00343.2016 · Cited by 55

A functional account of stimulation-based aerobic glycolysis and its role in interpreting BOLD signal intensity increases in neuroimaging experiments

Theriault, J. E., Shaffer, C., Dienel, G. A., Sander, C. Y. M., Hooker, J. M., Dickerson, B. C., Barrett, L. F., & Quigley, K. S. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105373 · Cited by 60

Identifying Anatomical Origins of Coexisting Oscillations in the Cortical Microcircuit

Bos, H., Diesmann, M., & Helias, M. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005132 · Cited by 54

Cortical State Fluctuations across Layers of V1 during Visual Spatial Perception

Speed, A., Rosario, J. D., Burgess, C., & Haider, B. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.02.045 · Cited by 47

Theta-Gamma Coding Meets Communication-through-Coherence: Neuronal Oscillatory Multiplexing Theories Reconciled

McLelland, D., & VanRullen, R. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005162 · Cited by 54

A physical neural mass model framework for the analysis of oscillatory generators from laminar electrophysiological recordings

Sanchez-Todo, R., Bastos, A. M., Lopez-Sola, E., Mercadal, B., Santarnecchi, E., Miller, E. K., Deco, G., & Ruffini, G. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.119938 · Cited by 46

Five key factors determining pairwise correlations in visual cortex

Schulz, D. P. A., Sahani, M., & Carandini, M. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00094.2015 · Cited by 47

A Sound-Sensitive Source of Alpha Oscillations in Human Non-Primary Auditory Cortex

Billig, A. J., Herrmann, B., Rhone, A. E., Gander, P. E., Nourski, K. V., Snoad, B. F., Kovach, C. K., Kawasaki, H., Howard, M. A., & Johnsrude, I. S. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.0696-19.2019 · Cited by 46

Laminar Subnetworks of Response Suppression in Macaque Primary Visual Cortex

Wang, T., Li, Y., Yang, G., Dai, W., Yang, Y., Han, C., Wang, X., Zhang, Y., & Xing, D. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.1129-20.2020 · Cited by 46

Local and Global Correlations between Neurons in the Middle Temporal Area of Primate Visual Cortex

Solomon, S. S., Chen Spencer, C., Morley, J. W., & Solomon, S. G. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu111 · Cited by 42

Independent Population Coding of Speech with Sub-Millisecond Precision

Garcia‐Lazaro, J. A., Belliveau, L., & Lesica, N. A. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3711-13.2013 · Cited by 41

Computational modelling of movement-related beta-oscillatory dynamics in human motor cortex

Bhatt, M. B., Bowen, S., Rossiter, H. E., Dupont-Hadwen, J., Moran, R., Friston, K. J., & Ward, N. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.078 · Cited by 40

Reliability of event‐related EEG functional connectivity during visual entrainment: Magnitude squared coherence and phase synchrony estimates

Miskovic, V., & Keil, A. (2014) · Psychophysiology · doi:10.1111/psyp.12287 · Cited by 38

Bridging neuronal correlations and dimensionality reduction

Umakantha, A., Morina, R., Cowley, B. R., Snyder, A. C., Smith, M. A., & Yu, B. M. (2021) · Neuron · doi:10.1016/j.neuron.2021.06.028 · Cited by 40

A microcircuit model involving parvalbumin, somatostatin, and vasoactive intestinal polypeptide inhibitory interneurons for the modulation of neuronal oscillation during visual processing

Wagatsuma, N., Nobukawa, S., & Fukai, T. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac355 · Cited by 35

Functional constraints in the evolution of brain circuits

Bosman, C. A., & Aboitiz, F. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00303 · Cited by 36

Cortical state dynamics and selective attention define the spatial pattern of correlated variability in neocortex

Shi, Y.-L., Steinmetz, N. A., Moore, T., Boahen, K. A., & Engel, T. A. (2022) · Nature Communications · doi:10.1038/s41467-021-27724-4 · Cited by 31

Functional interactions among neurons within single columns of macaque V1

Trepka, E. B., Zhu, S., Xia, R., Chen, X., & Moore, T. (2022) · eLife · doi:10.7554/elife.79322 · Cited by 35

Spatially heterogeneous structure-function coupling in haemodynamic and electromagnetic brain networks

Liu, Z.-Q., Shafiei, G., Baillet, S., & Mišić, B. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120276 · Cited by 32

Strength of Correlations in Strongly Recurrent Neuronal Networks

Darshan, R., van Vreeswijk, C., & Hansel, D. (2018) · Physical Review X · doi:10.1103/physrevx.8.031072 · Cited by 33

The gamma rhythm as a guardian of brain health

Ichim, A.-M., Bârzan, H., Moca, V. V., Nagy-Dăbâcan, A., Ciuparu, A., Hapca, A., Vervaeke, K., & Muresan, R. C. (2024) · eLife · doi:10.7554/elife.100238 · Cited by 39

Relating normalization to neuronal populations across cortical areas

Ruff, D. A., Alberts, J. J., & Cohen, M. R. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00017.2016 · Cited by 30

Gamma Synchrony Predicts Neuron–Neuron Correlations and Correlations with Motor Behavior in Extrastriate Visual Area MT

Lee, J., & Lisberger, S. G. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3478-13.2013 · Cited by 29

Spike-phase coupling patterns reveal laminar identity in primate cortex

Davis, Z. W., Dotson, N. M., Franken, T. P., Muller, L., & Reynolds, J. H. (2023) · eLife · doi:10.7554/elife.84512 · Cited by 22

Layer and rhythm specificity for predictive routingPreprint

Bastos, A. M., Lundqvist, M., Waite, A. S., Kopell, N., & Miller, E. K. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.27.921783 · Cited by 26

Functional Coupling from Simple to Complex Cells in the Visually Driven Cortical Circuit

Yu, J., & Ferster, D. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2665-13.2013 · Cited by 25

Noise Correlations for Faster and More Robust Learning

Nassar, M. R., Scott, D., & Bhandari, A. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.3045-20.2021 · Cited by 27

Nonmonotonic spatial structure of interneuronal correlations in prefrontal microcircuits

Safavi, S., Dwarakanath, A., Kapoor, V., Werner, J., Hatsopoulos, N. G., Logothetis, N. K., & Panagiotaropoulos, T. I. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1802356115 · Cited by 27

Correlated states in balanced neuronal networks

Baker, C., Ebsch, C., Lampl, I., & Rosenbaum, R. (2019) · Physical review. E · doi:10.1103/physreve.99.052414 · Cited by 23

Cortical response states for enhanced sensory discrimination

Gutnisky, D. A., Beaman, C. B., Lew, S. E., & Dragoi, V. (2017) · eLife · doi:10.7554/elife.29226 · Cited by 21

Negative Correlations in Visual Cortical Networks

Chelaru, M. I., & Dragoi, V. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu207 · Cited by 21

Stochastic neural field model of stimulus-dependent variability in cortical neurons

Bressloff, P. C. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006755 · Cited by 23

Brain state limits propagation of neural signals in laminar cortical circuits

Kharas, N., Andrei, A. R., Debes, S. R., & Dragoi, V. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2104192119 · Cited by 21

Internally generated population activity in cortical networks hinders information transmission

Huang, C., Pouget, A., & Doiron, B. (2022) · Science Advances · doi:10.1126/sciadv.abg5244 · Cited by 20

Orientation Selectivity in Inhibition-Dominated Networks of Spiking Neurons: Effect of Single Neuron Properties and Network Dynamics

Sadeh, S., & Rotter, S. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004045 · Cited by 18

Cascaded normalizations for spatial integration in the primary visual cortex of primates

Li, Y., Wang, T., Yang, Y., Dai, W., Wu, Y., Li, L., Han, C., Zhong, L., Li, L., Wang, G., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111221 · Cited by 19

State-dependent and cell type-specific temporal processing in auditory thalamocortical circuit

Sakata, S. (2016) · Scientific Reports · doi:10.1038/srep18873 · Cited by 17

Reconciliation of weak pairwise spike–train correlations and highly coherent local field potentials across space

Senk, J., Hagen, E., van Albada, S. J., & Diesmann, M. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae405 · Cited by 21

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

Acar, K., Kiorpes, L., Movshon, J. A., & Smith, M. A. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00232.2019 · Cited by 18

Cortical computation in mammals and birds

Harris, K. D. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1502209112 · Cited by 17

Balanced networks under spike-time dependent plasticity

Akil, A. E., Rosenbaum, R., & Josić́, K. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008958 · Cited by 17

Stimulus Feature-Specific Information Flow Along the Columnar Cortical Microcircuit Revealed by Multivariate Laminar Spiking Analysis

Tovar, D. A., Westerberg, J. A., Cox, M. A., Dougherty, K., Carlson, T. A., Wallace, M. T., & Maier, A. (2020) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2020.600601 · Cited by 14

Decision Signals in the Local Field Potentials of Early and Mid-Level Macaque Visual Cortex

Krishna, A., Tanabe, S., & Kohn, A. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa218 · Cited by 14

Stimulus-dependent spiking relationships with the EEG

Snyder, A. C., & Smith, M. A. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00427.2015 · Cited by 13

Specificity of V1–V2 orientation networks in the primate visual cortex

Roe, A. W., & Ts’o, D. Y. (2015) · Cortex · doi:10.1016/j.cortex.2015.07.007 · Cited by 13

Computational neurostimulation for Parkinson's disease

Little, S. J., & Bestmann, S. (2015) · Progress in brain research · doi:10.1016/bs.pbr.2015.09.002 · Cited by 12

Brain-state mediated modulation of inter-laminar dependencies in visual cortex

Das, A., Sheffield, A. G., Nandy, A. S., & Jadi, M. P. (2024) · Nature Communications · doi:10.1038/s41467-024-49144-w · Cited by 10

Conserved Laminar-Cellular Architecture Predicts the Spectrolaminar MotifPreprint

Mulvey, A. G., Lichtenfeld, M. J., Nejat, H., Xiong, Y. S., Carlson, B. M., Mitchell, B., Mendoza-Halliday, D., Westerberg, J. A., Maier, A., Duque, A., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.27.587084 · Cited by 12

Nonuniform and pathway-specific laminar processing of spatial frequencies in the primary visual cortex of primates

Wang, T., Dai, W., Wu, Y., Li, Y., Yang, Y., Zhang, Y., Zhou, T., Sun, X., Wang, G., Li, L., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-48379-x · Cited by 10

Processing of Feature Selectivity in Cortical Networks with Specific Connectivity

Sadeh, S., Claudia Clopath, A., & Rotter, S. (2015) · PLoS ONE · doi:10.1371/journal.pone.0127547 · Cited by 10

Long-range intralaminar noise correlations in the barrel cortex

Reyes‐Puerta, V., Amitai, Y., Sun, J., Shani, I., Luhmann, H. J., & Shamir, M. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00981.2014 · Cited by 14

Laminar-specific cortical dynamics in human visual and sensorimotor corticesPreprint

Bonaiuto, J. J., Meyer, S. S., Little, S. J., Rossiter, H. E., Callaghan, M. F., Dick, F., Barnes, G. R., & Bestmann, S. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/226274 · Cited by 10

Spatial range and laminar structures of neuronal correlations in the cat primary visual cortex

Tanaka, H., Tamura, H., & Ohzawa, I. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00652.2013 · Cited by 9

Graph quilting: graphical model selection from partially observed covariancesPreprint

Vinci, G., Dasarathy, G., & Allen, G. I. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1912.05573 · Cited by 20

Correlated variability in primate superior colliculus depends on functional class

Katz, L. N., Yu, G., Herman, J. P., & Krauzlis, R. J. (2023) · Communications Biology · doi:10.1038/s42003-023-04912-0 · Cited by 6

Untitled work

Theriault (n.d.) · doi:10.31234/osf.io/pkzr8 · Cited by 51

The asynchronous state's relation to large-scale potentials in cortex

Alishbayli, A., Tichelaar, J. G., Górska, U., Cohen, M. X., & Englitz, B. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00013.2019 · Cited by 7

Correlated Variability in Laminar Cortical Circuits

Hansen, B. J., Chelaru, M. I., & Dragoi, V. (2012) · Neuron · doi:10.1016/j.neuron.2012.08.029 · Cited by 148

Spatial range and laminar structures of neuronal correlations in the cat primary visual cortex

Tanaka, H., Tamura, H., & Ohzawa, I. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00652.2013 · Cited by 9

Pre- versus Post-Stimulus Comparison of Correlated Spiking Variability across V1 Laminae

Westerberg, J. A., Cox, M. A., Dougherty, K., & Maier, A. (2017) · Journal of Vision · doi:10.1167/17.10.734

Spatial and Temporal Scales of Neuronal Correlation in Visual Area V4

Smith, M. A., & Sommer, M. A. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4782-12.2013 · Cited by 123

Stimulus Dependence of Neuronal Correlation in Primary Visual Cortex of the Macaque

Kohn, A., & Smith, M. A. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.5106-04.2005 · Cited by 532