Pagan Lab Neural mechanisms underlying flexible decision-making

Publications

2024

Individual variability of neural computations underlying flexible decisions
Individual variability of neural computations underlying flexible decisions
Marino Pagan, Vincent D. Tang, Mikio C. Aoi, Jonathan W. Pillow, Valerio Mante, David Sussillo, Carlos D. Brody
Nature  ·  28 Nov 2024  ·  doi:10.1038/s41586-024-08433-6

2023

Brief technical note on linearizing recurrent neural networks (RNNs) before vs after the pointwise nonlinearity
Brief technical note on linearizing recurrent neural networks (RNNs) before vs after the pointwise nonlinearity
Marino Pagan, Adrian Valente, Srdjan Ostojic, Carlos D. Brody
arXiv  ·  11 Sep 2023  ·  arxiv:2309.04030

2022

A new theoretical framework jointly explains behavioral and neural variability across subjects performing flexible decision-making
A new theoretical framework jointly explains behavioral and neural variability across subjects performing flexible decision-making
Marino Pagan, Vincent D Tang, Mikio C. Aoi, Jonathan W. Pillow, Valerio Mante, David Sussillo, Carlos D. Brody
Cold Spring Harbor Laboratory  ·  28 Nov 2022  ·  doi:10.1101/2022.11.28.518207

2021

Collicular circuits for flexible sensorimotor routing
Collicular circuits for flexible sensorimotor routing
Chunyu A. Duan, Marino Pagan, Alex T. Piet, Charles D. Kopec, Athena Akrami, Alexander J. Riordan, Jeffrey C. Erlich, Carlos D. Brody
Nature Neuroscience  ·  03 Jun 2021  ·  doi:10.1038/s41593-021-00865-x

2016

Neural Quadratic Discriminant Analysis: Nonlinear Decoding with V1-Like Computation
Neural Quadratic Discriminant Analysis: Nonlinear Decoding with V1-Like Computation
Marino Pagan, Eero P. Simoncelli, Nicole C. Rust
Neural Computation  ·  01 Nov 2016  ·  doi:10.1162/NECO_a_00890

2014

Quantifying the signals contained in heterogeneous neural responses and determining their relationships with task performance
Quantifying the signals contained in heterogeneous neural responses and determining their relationships with task performance
Marino Pagan, Nicole C. Rust
Journal of Neurophysiology  ·  15 Sep 2014  ·  doi:10.1152/jn.00260.2014
Dynamic Target Match Signals in Perirhinal Cortex Can Be Explained by Instantaneous Computations That Act on Dynamic Input from Inferotemporal Cortex
Dynamic Target Match Signals in Perirhinal Cortex Can Be Explained by Instantaneous Computations That Act on Dynamic Input from Inferotemporal Cortex
M. Pagan, N. C. Rust
Journal of Neuroscience  ·  13 Aug 2014  ·  doi:10.1523/JNEUROSCI.4040-13.2014

2013

Shape Similarity, Better than Semantic Membership, Accounts for the Structure of Visual Object Representations in a Population of Monkey Inferotemporal Neurons
Shape Similarity, Better than Semantic Membership, Accounts for the Structure of Visual Object Representations in a Population of Monkey Inferotemporal Neurons
Carlo Baldassi, Alireza Alemi-Neissi, Marino Pagan, James J. DiCarlo, Riccardo Zecchina, Davide Zoccolan
PLoS Computational Biology  ·  08 Aug 2013  ·  doi:10.1371/journal.pcbi.1003167
Signals in inferotemporal and perirhinal cortex suggest an untangling of visual target information
Signals in inferotemporal and perirhinal cortex suggest an untangling of visual target information
Marino Pagan, Luke S Urban, Margot P Wohl, Nicole C Rust
Nature Neuroscience  ·  23 Jun 2013  ·  doi:10.1038/nn.3433

2008

An Experimental Analysis of Lemke-Howson Algorithm
An Experimental Analysis of Lemke-Howson Algorithm
Bruno Codenotti, Stefano De Rossi, Marino Pagan
arXiv  ·  21 Nov 2008  ·  arxiv:0811.3247