A Computer Simulation of Olfactory Cortex with Functional Implications for Storage and Retrieval of Olfactory Information. - James M. Bower; Matthew A. Wilson (NIPS, 1987)

Piriform (Olfactory) cortex model on the hypercube. - James M. Bower; Mark E. Nelson; Matthew A. Wilson; Geoffrey C. Fox; Wojtek Furmanski (C³P, 1988)

GENESIS: A System for Simulating Neural Networks. - Matthew A. Wilson; Upinder S. Bhalla; John D. Uhley; James M. Bower (NIPS, 1988)

Computer Simulation of Oscillatory Behavior in Cerebral Cortical Networks. - Matthew A. Wilson; James M. Bower (NIPS, 1989)

A Computer Simulation of Oscillatory Behavior in Primary Visual Cortex. - Matthew A. Wilson; James M. Bower (Neural Comput., 1991)

A time-dependent analysis of spatial information encoding in the rat hippocampus. - Riccardo Barbieri; Loren M. Frank; Michael C. Quirk; Matthew A. Wilson; Emery N. Brown (Neurocomputing, 2000)

From hippocampus to V1: Effect of LTP on spatio-temporal dynamics of receptive fields. - Mayank R. Mehta; Matthew A. Wilson (Neurocomputing, 2000)

Diagnostic methods for statistical models of place cell spiking activity. - Riccardo Barbieri; Loren M. Frank; Michael C. Quirk; Matthew A. Wilson; Emery N. Brown (Neurocomputing, 2001)

Construction and analysis of non-Gaussian spatial models of neural spiking activity. - Riccardo Barbieri; Loren M. Frank; Michael C. Quirk; Victor Solo; Matthew A. Wilson; Emery N. Brown (Neurocomputing, 2002)

Dynamic Analyses of Information Encoding in Neural Ensembles. - Riccardo Barbieri; Loren M. Frank; David P. Nguyen; Michael C. Quirk; Victor Solo; Matthew A. Wilson; Emery N. Brown (Neural Comput., 2004)

Analyzing Functional Connectivity Using a Network Likelihood Model of Ensemble Neural Spiking Activity. - Murat Okatan; Matthew A. Wilson; Emery N. Brown (Neural Comput., 2005)

Construction of Point Process Adaptive Filter Algorithms for Neural Systems Using Sequential Monte Carlo Methods. - Ayla Ergün; Riccardo Barbieri; Uri T. Eden; Matthew A. Wilson; Emery N. Brown (IEEE Trans. Biomed. Eng., 2007)

Discrete- and Continuous-Time Probabilistic Models and Algorithms for Inferring Neuronal UP and DOWN States. - Zhe Chen 001; Sujith Vijayan; Riccardo Barbieri; Matthew A. Wilson; Emery N. Brown (Neural Comput., 2009)

Variational Bayesian inference for point process generalized linear models in neural spike trains analysis. - Zhe Chen 001; Fabian Kloosterman; Matthew A. Wilson; Emery N. Brown (ICASSP, 2010)

Assessing neuronal interactions of cell assemblies during general anesthesia. - Zhe Chen 001; Sujith Vijayan; ShiNung Ching; Greg Hale; Francisco J. Flores; Matthew A. Wilson; Emery N. Brown (EMBC, 2011)

Computing Confidence Intervals for Point Process Models. - Sridevi V. Sarma; David P. Nguyen; Gabriela Czanner; Sylvia Wirth; Matthew A. Wilson; Wendy A. Suzuki; Emery N. Brown (Neural Comput., 2011)

Transductive neural decoding for unsorted neuronal spikes of rat hippocampus. - Zhe Chen 001; Fabian Kloosterman; Stuart Layton; Matthew A. Wilson (EMBC, 2012)

Uncovering spatial topology represented by rat hippocampal population neuronal codes. - Zhe Chen 001; Fabian Kloosterman; Emery N. Brown; Matthew A. Wilson (J. Comput. Neurosci., 2012)

A variational nonparametric bayesian approach for inferring rat hippocampal population codes. - Zhe Chen 001; Matthew A. Wilson (EMBC, 2013)

Neural Representation of Spatial Topology in the Rodent Hippocampus. - Zhe Chen 001; Stephen N. Gomperts; Jun Yamamoto; Matthew A. Wilson (Neural Comput., 2014)

Neuronal encoding models of complex receptive fields: A comparison of nonparametric and parametric approaches. - Rahul Agarwal; Zhe Chen 001; Fabian Kloosterman; Matthew A. Wilson; Sridevi V. Sarma (CISS, 2016)

Bayesian nonparametric methods for discovering latent structures of rat hippocampal ensemble spikes. - Zhe Chen 001; Scott W. Linderman; Matthew A. Wilson (MLSP, 2016)

Kernel density compression for real-time Bayesian encoding/decoding of unsorted hippocampal spikes. - Danaipat Sodkomkham; Davide Ciliberti; Matthew A. Wilson; Ken-ichi Fukui; Koichi Moriyama; Masayuki Numao; Fabian Kloosterman (Knowl. Based Syst., 2016)

A Novel Nonparametric Approach for Neural Encoding and Decoding Models of Multimodal Receptive Fields. - Rahul Agarwal; Zhe Chen 001; Fabian Kloosterman; Matthew A. Wilson; Sridevi V. Sarma (Neural Comput., 2016)

A closed-loop all-electronic pixel-wise adaptive imaging system for high dynamic range video. - Jie Zhang 063; Jonathan P. Newman; Xiao Wang 028; Chetan Singh Thakur; John M. Rattray; Ralph Etienne-Cummings; Matthew A. Wilson (CoRR, 2019)

A Closed-Loop, All-Electronic Pixel-Wise Adaptive Imaging System for High Dynamic Range Videography. - Jie Zhang 063; Jonathan P. Newman; Xiao Wang 028; Chetan Singh Thakur; John M. Rattray; Ralph Etienne-Cummings; Matthew A. Wilson (IEEE Trans. Circuits Syst. I Regul. Pap., 2020)

Bayesian Algorithmic Decoding of Acceleration and Speed Software (BADASS). - Hannah S. Wirtshafter; Matthew A. Wilson (Softw. Impacts, 2021)

Artificial intelligence insights into hippocampal processing. - Hannah S. Wirtshafter; Matthew A. Wilson (Frontiers Comput. Neurosci., 2022)

Pix2HDR - A Pixel-Wise Acquisition and Deep Learning-Based Synthesis Approach for High-Speed HDR Videos. - Caixin Wang; Jie Zhang 063; Matthew A. Wilson; Ralph Etienne-Cummings (IEEE Trans. Pattern Anal. Mach. Intell., 2024)