Original Research
Xue C, Markman SK, Chen R, Kramer LE,
Cohen MR. Task interference as a neuronal
basis for the cost of cognitive flexibility. bioRxiv [Preprint].
2024 Mar 6:2024.03.04.583375. doi: 10.1101/2024.03.04.583375. PMID:
38496626; PMCID: PMC10942291. Srinath
R, Ni AM, Marucci C, Cohen MR, Brainard DH.
Orthogonal neural representations support perceptual judgements of
natural stimuli. bioRxiv [Preprint]. 2024 Feb 19:2024.02.14.580134.
doi: 10.1101/2024.02.14.580134. PMID: 38464018; PMCID: PMC10925131.
Schmehl MN, Caruso VC, Chen Y, Jun NY, Willett SM, Mohl JT, Ruff DA,
Cohen M, Ebihara AF, Freiwald WA, Tokdar ST,
Groh JM. Multiple objects evoke fluctuating responses in several
regions of the visual pathway. Elife. 2024 Mar 15;13:e91129. doi:
10.7554/eLife.91129. PMID: 38489224; PMCID: PMC10942787.
Rouse TC, Ni AM, Huang C, Cohen MR (2023).
Topological insights into the neural basis of flexible behavior.
Proc Natl Acad Sci U S A. 2023 Jun 13;120(24):e2219557120. doi:
10.1073/pnas.2219557120. Epub 2023 Jun 6. PMID: 37279273; PMCID:
PMC10268229.
Jun NY, Ruff DA, Kramer LE, Bowes B, Tokdar ST,
Cohen MR, Groh JM (2022). Coordinated
multiplexing of information about separate objects in visual cortex.
Elife. 2022 Nov 29;11:e76452. doi: 10.7554/eLife.76452. PMID:
36444983; PMCID: PMC9708082.
Ni AM, Bowes BS, Ruff DA, Cohen MR (2022).
Methylphenidate as a causal test of translational and basic neural
coding hypotheses. PNAS, 119(17):e2120529119. doi:
10.1073/pnas.2120529119.
Xue C, Kramer LE, Cohen MR (2022). Dynamic
task-belief is an integral part of decision-making. Neuron, 110(15):
2503-11. PMC9357195
Ni AM, Huang C, Doiron BD, Cohen MR (2022).
A general decoding strategy explains the relationship between
behavior and correlated variability. eLife 11:e67258. doi:
10.7554/eLife.67258.
Srinath R, Ruff DA, Cohen MR (2021).
Attention improves information flow between neuronal populations
without changing the communication subspace. Curr Biol. 2021 Dec 6;31(23):5299-5313.e4. doi:
10.1016/j.cub.2021.09.076.
Haimerl C, Ruff DA, Cohen, MR, Savin C,
Simoncelli EP (2021).
Targeted comodulation supports flexible and accurate decoding in
V1. bioRxiv 2021.02.23.432351; doi:
https://doi.org/10.1101/2021.02.23.432351
Ruff DA, Xue C, Kramer LE, Baqai F, and
Cohen MR (2020).
Low rank mechanisms underlying flexible visual representations. in press at PNAS; bioRxiv doi:
https://www.biorxiv.org/content/10.1101/730978v1
Jun NY, Ruff DA, Tokdar ST, Cohen MR, and
Groh JM (2019).
Patterns of neural correlations in V1 vary with the number of
objects. bioRxiv
https://www.biorxiv.org/content/10.1101/777912v1
Ruff DA and Cohen MR (2019).
Simultaneous multi-area recordings suggest that attention
improves performance by reshaping stimulus representations. Nature Neuroscience, 22(10):1669-1676.
Huang C, Ruff DA, Pyle R, Rosenbaum R,
Cohen MR, Doiron B (2019).
Circuit models of low-dimensional shared variability in cortical
networks. Neuron, 101(2):337-348.
Ruff DA, Brainard DH, and Cohen MR (2018).
Neuronal population mechanisms of lightness perception. J Neurophysiology, doi: 10.1152/jn.00906.2017.
Ni AM, Ruff DA, Alberts JJ, Symmonds J, and
Cohen MR (2018).
Learning and attention reveal a general relationship between
population activity and behavior. Science 359(6374), pp. 463-465.
Kanashiro T, Ocker G, Cohen MR, Doiron B
(2017).
Attentional modulation of neuronal variability in circuit models
of cortex, eLife, doi:
https://doi.org/10.7554/eLife.23978.
Ruff DA, Cohen MR (2017).
A normalization model suggests that attention changes the
weighting of inputs between visual areas.
Proc Natl Acad Sci.
Ruff DA, Alberts JJ and Cohen MR (2016).
Relating normalization to neuronal populations across cortical
areas.
J Neurophys.
Ruff DA and Cohen MR (2016).
Attention increases spike count correlations between visual
cortical areas.
J Neurosci.
Ruff DA and Cohen MR (2016).
Stimulus dependence of correlated variability across cortical
areas.
J Neurosci.
Oby ER, Perel S, Sadtler P, Ruff DA, Mischel JL, Montez DF,
Cohen MR, Batista AP, Chase SM (2016).
Extracellular voltage threshold settings can be tuned for optimal
encoding of movement and stimulus parameters.
J Neural Eng, 13(3):036009.
Rabinowitz NC, Goris RL, Cohen MR, and
Simoncelli EP (2015).
Attention stabilizes the shared gain of V4 populations.
Elife, November 2; 4:e08998.
Mayo JP, Cohen MR, and Maunsell JHR (2015).
A refined neuronal population measure of visual attention.
PLOS One, 10(8):e0136570.
Ruff DA and Cohen MR (2014).
Global cognitive factors modulate correlated response variability
between V4 neurons.
Journal of Neuroscience, 34(49):16408-16.
Ruff DA and Cohen MR (2014).
Attention can either increase or decrease spike count
correlations in visual cortex.
Nature Neuroscience 17(11):1591-7.
Cohen MR and Maunsell JHR (2011).
When attention wanders: how uncontrolled fluctuations in
attention affect performance.
Journal of Neuroscience, 31(44):15802-06.
Cohen MR and Maunsell JHR (2011).
Using neuronal populations to study the mechanisms underlying
spatial and feature attention.
Neuron, 70:1192-1204.
Cohen MR and Maunsell JHR (2010).
A neuronal population measure of attention predicts behavioral
performance on individual trials.
Journal of Neuroscience, 30:15241-53.
Churchland MM, Yu BM, Cunningham JP, Sugrue LP,
Cohen MR, Corrado GS, Newsome WT, Clark AM
Hosseini P, Scott BB, Bradley DC, Smith MA, Kohn A, Movshon JA,
Armstrong KM, Moore T, Chang SW, Snyder LH, Priebe NJ, Finn IM,
Ferster D, Ryu SI, Santhanam G, Sahani M, and Shenoy KV (2010).
Stimulus onset quenches neural variability: a widespread cortical
phenomenon.
Nature Neuroscience, 13(3):369-78.
Cohen MR and Maunsell JHR (2009).
Attention improves performance primarily by reducing
interneuronal correlations.
Nature Neuroscience, 12(12):1594-1600.
Cohen MR and Newsome WT (2009).
Estimates of the contribution of single neurons to perception
depend on timescale and noise correlation.
Journal of Neuroscience, 29:6635-48.
Cohen MR and Newsome WT (2008).
Context-dependent changes in functional circuitry in visual area
MT.
Neuron, 60(1):162-173.
News and Views
by Alexandre Pouget and Gregory DeAngelis.
Barberini CL, Cohen MR, Wandell BA and
Newsome WT (2005).
Cone signal interactions in direction-selective neurons in the
middle temporal visual area (MT).
Journal of Vision, 5:603-621.
Cohen MR, Meissner GW, Schafer RJ, and
Raymond JL (2004).
Reversal of motor learning in the vestibulo-ocular reflex in the
absence of visual input.
Learning and Memory, 11(5):559-565.
Reviews
Rust NC, Cohen MR. Priority coding in the
visual system. Nat Rev Neurosci. 2022 Jun;23(6):376-388. doi:
10.1038/s41583-022-00582-9. Epub 2022 Apr 11. PMID: 35410358.
Ruff DA, Ni AM, Cohen MR. Cognition as a
Window into Neuronal Population Space. Annu Rev Neurosci. 2018 Jul
8;41:77-97. doi: 10.1146/annurev-neuro-080317-061936. PMID:
29799773; PMCID: PMC6571103.
Ruff DA and Cohen MR (2014). Relating the
activity of sensory neurons to perception. In The Cognitive
Neurosciences (MIT Press).
Cohen MR and Maunsell JHR (2014). Neuronal
mechanisms of spatial attention in visual cerebral cortex. In The
Oxford Handbook of Attention.
Ruff DA and Cohen MR (2013).
Pursuing the link between neurons and behavior.
Neuron 2013; 79:6-9.
Cohen MR (2012).
When Attention Wanders.
Science 5 October 2012: 338 (6103), 58-59.
[DOI:10.1126/science.1229552]
Nienborg H*,
Cohen MR*, and
Cumming BG (2012).
Decision-related activity in sensory neurons: correlations among
neurons and with behavior.
Annu Rev Neurosci, 2012 April 5 (Epub ahead of print)
Cohen MR and Kohn AK (2011).
Measuring and interpreting neuronal correlations.
Nature Neuroscience, 14:811-809.
Cohen MR and Newsome WT (2004).
What electrical microstimulation has revealed about the neural
basis of cognition.
Current Opinion in Neurobiology, 14:1-9.
* These authors contributed equally.