Marino Pagan

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Pagan M, Tang VD, Aoi MC, et al. (2024) Individual variability of neural computations underlying flexible decisions. Nature
Duan CA, Pagan M, Piet AT, et al. (2021) Collicular circuits for flexible sensorimotor routing. Nature Neuroscience
Pagan M, Simoncelli EP, Rust NC. (2016) Neural Quadratic Discriminant Analysis: Nonlinear Decoding with V1-Like Computation. Neural Computation. 1-29
Pagan M, Rust NC. (2014) Dynamic target match signals in perirhinal cortex can be explained by instantaneous computations that act on dynamic input from inferotemporal cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 34: 11067-84
Pagan M, Rust NC. (2014) Quantifying the signals contained in heterogeneous neural responses and determining their relationships with task performance. Journal of Neurophysiology. 112: 1584-98
Pagan M, Simoncelli EP, Rust NC. (2014) A generalization of the Energy model explains the transformation from IT to Perirhinal cortex Journal of Vision. 14: 78-78
Baldassi C, Alemi-Neissi A, Pagan M, et al. (2013) Shape similarity, better than semantic membership, accounts for the structure of visual object representations in a population of monkey inferotemporal neurons. Plos Computational Biology. 9: e1003167
Pagan M, Urban LS, Wohl MP, et al. (2013) Signals in inferotemporal and perirhinal cortex suggest an untangling of visual target information. Nature Neuroscience. 16: 1132-9