Learning and attention reveal a general relationship between population activity and behavior

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Circuit models of low dimensional shared variability in cortical networksPreprint

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A neural geometry approach comprehensively explains apparently conflicting models of visual perceptual learning

Cheng, Y.-A., Sanayei, M., Chen, X., Jia, K., Li, S., Fang, F., Watanabe, T., Thiele, A., & Zhang, R. (2025) · Nature Human Behaviour · doi:10.1038/s41562-025-02149-x · Cited by 20 · see citing works

Methylphenidate as a causal test of translational and basic neural coding hypotheses

Ni, A. M., Bowes, B., Ruff, D. A., & Cohen, M. R. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2120529119 · Cited by 13 · see citing works

Calibrating vision: Concepts and questions

Bosten, J. M., Coen-Cagli, R., Franklin, A., Solomon, S. G., & Webster, M. A. (2022) · Vision Research · doi:10.1016/j.visres.2022.108131 · Cited by 13 · see citing works

Prior expectation enhances sensorimotor behavior by modulating population tuning and subspace activity in sensory cortex

Park, J., Kim, S., Kim, H. R., & Lee, J. (2023) · Science Advances · doi:10.1126/sciadv.adg4156 · Cited by 15 · see citing works

Understanding Sensory Information Processing Through Simultaneous Multi-area Population Recordings

Zavitz, E., & Price, N. S. C. (2019) · Frontiers in Neural Circuits · doi:10.3389/fncir.2018.00115 · Cited by 14 · see citing works

Task-specific modulation of PFC activity for matching-rule governed decision-making

Parto-Dezfouli, M., Zarei, M. M., Constantinidis, C., & Daliri, M. R. (2021) · Brain Structure and Function · doi:10.1007/s00429-020-02191-7 · Cited by 15 · see citing works

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 · see citing works

Differential representation of sensory information and behavioral choice across layers of the mouse auditory cortex

Steinfeld, R., Tacão-Monteiro, A., & Renart, A. (2024) · Current Biology · doi:10.1016/j.cub.2024.04.040 · Cited by 17 · see citing works

Spontaneous movements and their relationship to neural activity fluctuate with latent engagement states

Yin, C., Melin, M. D., Rojas-Bowe, G., Sun, X. R., Couto, J., Gluf, S., Kostiuk, A., Musall, S., & Churchland, A. K. (2025) · Neuron · doi:10.1016/j.neuron.2025.06.001 · Cited by 13 · see citing works

A distinct population of heterogeneously color-tuned neurons in macaque visual cortex

Nigam, S., Pojoga, S., & Dragoi, V. (2021) · Science Advances · doi:10.1126/sciadv.abc5837 · Cited by 14 · see citing works

Targeted dimensionality reduction enables reliable estimation of neural population coding accuracy from trial-limited data

Heller, C. R., & David, S. V. (2022) · PLoS ONE · doi:10.1371/journal.pone.0271136 · Cited by 12 · see citing works

Learning nonnative speech sounds changes local encoding in the adult human cortex

Yi, H., Chandrasekaran, B., Nourski, K. V., Rhone, A. E., Schuerman, W. L., Howard, M. A., Chang, E. F., & Leonard, M. K. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2101777118 · Cited by 11 · see citing works

Decision-related activity and movement selection in primate visual cortex

Laamerad, P., Liu, L. D., & Pack, C. C. (2024) · Science Advances · doi:10.1126/sciadv.adk7214 · Cited by 10 · see citing works

Noise correlations and perceptual inference

Bányai, M., & Orbán, G. (2019) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2019.09.002 · Cited by 10 · see citing works

Stimulation of the ventral tegmental area induces visual cortical plasticity at the neuronal level

Herpers, J., Arsenault, J. T., Vanduffel, W., & Vogels, R. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109998 · Cited by 12 · see citing works

Simultaneous multi-area recordings suggest that attention improves performance by reshaping stimulus representationsPreprint

Ruff, D. A., & Cohen, M. R. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/372888 · Cited by 12 · see citing works

Functional and behavioural correlates of shared neuronal noise variability in vision and visual cognition

Hassen, S. B. H., & Hamed, S. B. (2020) · Current Opinion in Physiology · doi:10.1016/j.cophys.2020.07.015 · Cited by 10 · see citing works

Identification of interacting neural populations: methods and statistical considerations

Kass, R. E., Bong, H., Olarinre, M., Qi, X., & Urban, K. N. (2023) · Journal of Neurophysiology · doi:10.1152/jn.00131.2023 · Cited by 9 · see citing works

Attention and correlated variabilityPreprint

Zhang, X. (2026) · OSF Preprints (OSF Preprints)

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 · see citing works

On the Structure of Neuronal Population Activity under Fluctuations in Attentional State

Ecker, A. S., Denfield, G. H., Bethge, M., & Tolias, A. S. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.2044-15.2016 · Cited by 88 · see citing works

Global Cognitive Factors Modulate Correlated Response Variability between V4 Neurons

Ruff, D. A., & Cohen, M. R. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.2750-14.2014 · Cited by 49 · see citing works

On the structure of population activity under fluctuations in attentional statePreprint

Ecker, A. S., Denfield, G. H., Bethge, M., & Tolias, A. S. (2015) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/018226 · Cited by 8 · see citing works