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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.
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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.
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Ruff DA, Cohen MR (2017). A normalization model suggests that attention changes the weighting of inputs between visual areas. Proc Natl Acad Sci.
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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.
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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.
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.