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Marino Pagan
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Year
Signals in inferotemporal and perirhinal cortex suggest an untangling of visual target information
M Pagan, LS Urban, MP Wohl, NC Rust
Nature neuroscience 16 (8), 1132-1139, 2013
1162013
Shape similarity, better than semantic membership, accounts for the structure of visual object representations in a population of monkey inferotemporal neurons
C Baldassi, A Alemi-Neissi, M Pagan, JJ DiCarlo, R Zecchina, D Zoccolan
PLoS computational biology 9 (8), e1003167, 2013
1092013
Neural quadratic discriminant analysis: nonlinear decoding with V1-like computation
M Pagan, EP Simoncelli, NC Rust
Neural computation 28 (11), 2291-2319, 2016
222016
An experimental analysis of lemke-howson algorithm
B Codenotti, S De Rossi, M Pagan
arXiv preprint arXiv:0811.3247, 2008
202008
Collicular circuits for flexible sensorimotor routing
CA Duan, M Pagan, AT Piet, CD Kopec, A Akrami, AJ Riordan, JC Erlich, ...
Nature neuroscience 24 (8), 1110-1120, 2021
182021
Quantifying the signals contained in heterogeneous neural responses and determining their relationships with task performance
M Pagan, NC Rust
Journal of Neurophysiology 112 (6), 1584-1598, 2014
172014
Dynamic target match signals in perirhinal cortex can be explained by instantaneous computations that act on dynamic input from inferotemporal cortex
M Pagan, NC Rust
Journal of Neuroscience 34 (33), 11067-11084, 2014
132014
A generalization of the Energy model explains the transformation from IT to Perirhinal cortex
M Pagan, EP Simoncelli, NC Rust
Journal of Vision 14 (15), 78-78, 2014
12014
The Neural Mechanisms Underlying Visual Target Search
M Pagan
2015
Quantifying the signals contained in heterogeneous
M Pagan, NC Rust
J. Neurosci 34 (33), 11067-11084, 2014
2014
From luminance to semantics: how natural objects are represented in monkey inferotemporal cortex.
M Pagan, AA Neissi, C BALDASSI, R ZECCHINA, J DiCarlo, D Zoccolan
Cosyne2011 Proceedings, 2011
2011
Study of a biologically inspired model for visual object recognition
M PAGAN
2009
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Articles 1–12