← Authors

Jonathan W Pillow

35 papers · 2007–2024 · 2 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (17) 🐝 Cross-Pollinator (8) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (2) πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (3) 🏠 Conference Loyalist (34) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (15) πŸ† Keyword Champion (2) πŸ’Ž Century Club (35) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (97) ⚑ Prolific Year (5) πŸ”₯ Unstoppable (8)

Conferences

NIPS (34) ICML (1)

Top co-authors

Jonathan W. Pillow (9) ll Memming Park (6) Evan W Archer (4) Mijung Park (4) Anqi Wu (4) Ji Hyun Bak (3) Nicholas A. Roy (3) Aditi Jha (3) Stephen Keeley (2) Athena Akrami (2)

Research topics

Probability (2) Statistics (1)

Keywords

bayesian inference (15) maximum likelihood (6) spike train (6) dimensionality reduction (5) neural encoding (5) variational inference (5) latent variable model (4) neural population (4) generalized linear model (4) gaussian process (4) hierarchical model (3) probabilistic modeling (3) bayesian estimation (3) neural population activity (3) receptive field (3) spike train analysis (3) maximum likelihood estimation (3) neural coding (3) visual cortex (3) active learning (3)

Papers

Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems NIPS 2024
Extracting computational mechanisms from neural data using low-rank RNNs NIPS 2022
Dynamic Inverse Reinforcement Learning for Characterizing Animal Behavior NIPS 2022
Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction ICML 2021
Inferring learning rules from animal decision-making NIPS 2020
High-contrast β€œgaudy” images improve the training of deep neural network models of visual cortex NIPS 2020
Identifying signal and noise structure in neural population activity with Gaussian process factor models NIPS 2020
Efficient inference for time-varying behavior during learning NIPS 2018
Model-based targeted dimensionality reduction for neuronal population data NIPS 2018
Power-law efficient neural codes provide general link between perceptual bias and discriminability NIPS 2018
Scaling the Poisson GLM to massive neural datasets through polynomial approximations NIPS 2018
Learning a latent manifold of odor representations from neural responses in piriform cortex NIPS 2018
Gaussian process based nonlinear latent structure discovery in multivariate spike train data NIPS 2017
A Bayesian method for reducing bias in neural representational similarity analysis NIPS 2016
Adaptive optimal training of animal behavior NIPS 2016
Bayesian latent structure discovery from multi-neuron recordings NIPS 2016
Convolutional spike-triggered covariance analysis for neural subunit models NIPS 2015
Sparse Bayesian structure learning with β€œdependent relevance determination” priors NIPS 2014
Optimal prior-dependent neural population codes under shared input noise NIPS 2014
Low-dimensional models of neural population activity in sensory cortical circuits NIPS 2014
Inferring sparse representations of continuous signals with continuous orthogonal matching pursuit NIPS 2014
Inferring synaptic conductances from spike trains with a biophysically inspired point process model NIPS 2014
Bayesian inference for low rank spatiotemporal neural receptive fields NIPS 2013
Bayesian entropy estimation for binary spike train data using parametric prior knowledge NIPS 2013
Spike train entropy-rate estimation using hierarchical Dirichlet process priors NIPS 2013
Spectral methods for neural characterization using generalized quadratic models NIPS 2013
Universal models for binary spike patterns using centered Dirichlet processes NIPS 2013
Bayesian active learning with localized priors for fast receptive field characterization NIPS 2012
Fully Bayesian inference for neural models with negative-binomial spiking NIPS 2012
Bayesian estimation of discrete entropy with mixtures of stick-breaking priors NIPS 2012
Active learning of neural response functions with Gaussian processes NIPS 2011
Bayesian Spike-Triggered Covariance Analysis NIPS 2011
Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models NIPS 2009
Characterizing neural dependencies with copula models NIPS 2008
Neural characterization in partially observed populations of spiking neurons NIPS 2007