List of works - Jonathan W. Pillow

25th Annual Computational Neuroscience Meeting: CNS-2016

scientific article

A Bayesian method for reducing bias in neural representational similarity analysis ⬇️

scientific article published in January 2016

A model-based spike sorting algorithm for removing correlation artifacts in multi-neuron recordings

scientific article

A simple linear readout of MT supports motion direction-discrimination performance

scientific article published on 18 December 2019

Active learning of neural response functions with Gaussian processes ⬇️

scientific article published in January 2011

Adaptive optimal training of animal behavior ⬇️

scientific article published in January 2016

Adaptive stimulus selection for multi-alternative psychometric functions with lapses

scientific article published on 01 November 2018

Author Correction: Unsupervised identification of the internal states that shape natural behavior

scientific article published on 01 February 2020

Bayesian Spike-Triggered Covariance Analysis ⬇️

scientific article published in January 2011

Bayesian active learning of neural firing rate maps with transformed gaussian process priors

scientific article published on 30 May 2014

Bayesian active learning with localized priors for fast receptive field characterization ⬇️

scientific article published in January 2012

Bayesian and Quasi-Bayesian Estimators for Mutual Information from Discrete Data

Bayesian entropy estimation for binary spike train data using parametric prior knowledge ⬇️

Bayesian entropy estimators for spike trains

scientific article published on 8 July 2013

Bayesian estimation of discrete entropy with mixtures of stick-breaking priors ⬇️

scientific article published in January 2012

Bayesian inference for low rank spatiotemporal neural receptive fields ⬇️

scientific article published in January 2013

Bayesian latent structure discovery from multi-neuron recordings ⬇️

scientific article published in January 2016

Capturing the Dynamical Repertoire of Single Neurons with Generalized Linear Models

scientific article published on 28 September 2017

Characterizing neural dependencies with copula models ⬇️

Combined Social and Spatial Coding in a Descending Projection from the Prefrontal Cortex.

scientific article published on 22 November 2017

Computational approaches to fMRI analysis

scientific article published on February 2017

Continuous psychophysics: Target-tracking to measure visual sensitivity

scientific article published on 20 March 2015

Convolutional spike-triggered covariance analysis for neural subunit models ⬇️

Dethroning the Fano Factor: A Flexible, Model-Based Approach to Partitioning Neural Variability.

scientific article published on 30 January 2018

Dimensionality reduction in neural models: an information-theoretic generalization of spike-triggered average and covariance analysis

scientific article published on 28 April 2006

Discovering Event Structure in Continuous Narrative Perception and Memory

scientific article

Discrete Stepping and Nonlinear Ramping Dynamics Underlie Spiking Responses of LIP Neurons during Decision-Making

scientific article published on 23 May 2019

Dissociated functional significance of decision-related activity in the primate dorsal stream

scientific article published on 04 July 2016

Editorial overview: Machine learning, big data, and neuroscience

scientific article published on 01 April 2019

Efficient Markov chain Monte Carlo methods for decoding neural spike trains

scientific article published on 21 October 2010

Efficient inference for time-varying behavior during learning ⬇️

Efficient inference for time-varying behavior during learning

scientific article published on 01 December 2018

Encoding and decoding in parietal cortex during sensorimotor decision-making

scientific article

Error-correcting dynamics in visual working memory

scientific article published on 29 July 2019

Explaining the especially pink elephant

scientific article

Extracting the dynamics of behavior in sensory decision-making experiments

scientific article published on 01 January 2021

Fully Bayesian inference for neural models with negative-binomial spiking ⬇️

scientific article published in January 2012

Functional dissection of signal and noise in MT and LIP during decision-making

scientific article

Gaussian process based nonlinear latent structure discovery in multivariate spike train data ⬇️

article published in 2017

Gaussian process based nonlinear latent structure discovery in multivariate spike train data

scientific article published on 01 December 2017

Heterogeneous response dynamics in retinal ganglion cells: the interplay of predictive coding and adaptation

scientific article

High-contrast “gaudy” images improve the training of deep neural network models of visual cortex ⬇️

Identifying signal and noise structure in neural population activity with Gaussian process factor models ⬇️

scientific article published in November 2020

Inferring learning rules from animal decision-making ⬇️

scientific article published in November 2020

Inferring sparse representations of continuous signals with continuous orthogonal matching pursuit ⬇️

scientific article published in January 2014

Inferring synaptic conductances from spike trains with a biophysically inspired point process model ⬇️

scientific article published in January 2014

Inferring synaptic inputs from spikes with a conductance-based neural encoding model

scientific article published on 18 December 2019

Is population activity more than the sum of its parts?

scientific article

Lawful tracking of visual motion in humans, macaques, and marmosets in a naturalistic, continuous, and untrained behavioral context

article published in the Proceedings of the National Academy of Sciences of the United States of America

Learning a latent manifold of odor representations from neural responses in piriform cortex ⬇️

article

Low-dimensional models of neural population activity in sensory cortical circuits ⬇️

scientific article published in January 2014

Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model ⬇️

scientific article published in January 2004

Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model

scientific article published in December 2004

Model-based decoding, information estimation, and change-point detection techniques for multineuron spike trains

scientific article published on 21 October 2010

Model-based targeted dimensionality reduction for neuronal population data ⬇️

Model-based targeted dimensionality reduction for neuronal population data

scientific article published on 01 December 2018

Modeling statistical dependencies in multi-region spike train data

scientific article published on 14 December 2020

Modeling the impact of common noise inputs on the network activity of retinal ganglion cells

scientific article published on 29 December 2011

NEURONAL MODELING. Single-trial spike trains in parietal cortex reveal discrete steps during decision-making

scientific article published on July 2015

Neural characterization in partially observed populations of spiking neurons ⬇️

scientific article published in January 2008

Optimal prior-dependent neural population codes under shared input noise ⬇️

scientific article published in January 2014

Perceptual completion across the vertical meridian and the role of early visual cortex

scientific article published in February 2002

Poisson balanced spiking networks

scientific article published on 20 November 2020

Power-law efficient neural codes provide general link between perceptual bias and discriminability ⬇️

article

Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model.

scientific article published in November 2005

Prefrontal cortex exhibits multidimensional dynamic encoding during decision-making

scientific article published on 05 October 2020

Receptive field inference with localized priors

scientific article

Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias

article

Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias

scientific article published on 24 May 2019

Response to Comment on "Single-trial spike trains in parietal cortex reveal discrete steps during decision-making".

scientific article published in March 2016

Scaling the Poisson GLM to massive neural datasets through polynomial approximations ⬇️

Scaling the Poisson GLM to massive neural datasets through polynomial approximations

scientific article published on 01 December 2018

Sparse Bayesian structure learning with “dependent relevance determination” priors ⬇️

scientific article published in January 2014

Spatio-temporal correlations and visual signalling in a complete neuronal population

scientific article published on 23 July 2008

Spectral methods for neural characterization using generalized quadratic models ⬇️

Spike train entropy-rate estimation using hierarchical Dirichlet process priors ⬇️

Spike-triggered neural characterization.

scientific article published on 17 July 2006

Statistical models for neural encoding, decoding, and optimal stimulus design

scientific article published on January 2007

Systematic misperceptions of 3-D motion explained by Bayesian inference.

scientific article published in March 2018

The 8thannual computational and systems neuroscience (Cosyne) meeting ⬇️

scientific article published on April 20, 2011

The equivalence of information-theoretic and likelihood-based methods for neural dimensionality reduction

scientific article published on April 2015

Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models ⬇️

scientific article published in January 2009

Universal models for binary spike patterns using centered Dirichlet processes ⬇️

scientific article published in January 2013

Unsupervised identification of the internal states that shape natural behavior

scientific article published on 25 November 2019

Volumetric two-photon imaging of neurons using stereoscopy (vTwINS).

scientific article

List of works by Jonathan W. Pillow

25th Annual Computational Neuroscience Meeting: CNS-2016

A Bayesian method for reducing bias in neural representational similarity analysis ⬇️

A model-based spike sorting algorithm for removing correlation artifacts in multi-neuron recordings

A simple linear readout of MT supports motion direction-discrimination performance

Active learning of neural response functions with Gaussian processes ⬇️

Adaptive optimal training of animal behavior ⬇️

Adaptive stimulus selection for multi-alternative psychometric functions with lapses

Author Correction: Unsupervised identification of the internal states that shape natural behavior

Bayesian Spike-Triggered Covariance Analysis ⬇️

Bayesian active learning of neural firing rate maps with transformed gaussian process priors

Bayesian active learning with localized priors for fast receptive field characterization ⬇️

Bayesian and Quasi-Bayesian Estimators for Mutual Information from Discrete Data

Bayesian entropy estimation for binary spike train data using parametric prior knowledge ⬇️

Bayesian entropy estimators for spike trains

Bayesian estimation of discrete entropy with mixtures of stick-breaking priors ⬇️

Bayesian inference for low rank spatiotemporal neural receptive fields ⬇️

Bayesian latent structure discovery from multi-neuron recordings ⬇️

Capturing the Dynamical Repertoire of Single Neurons with Generalized Linear Models

Characterizing neural dependencies with copula models ⬇️

Combined Social and Spatial Coding in a Descending Projection from the Prefrontal Cortex.

Computational approaches to fMRI analysis

Continuous psychophysics: Target-tracking to measure visual sensitivity

Convolutional spike-triggered covariance analysis for neural subunit models ⬇️

Dethroning the Fano Factor: A Flexible, Model-Based Approach to Partitioning Neural Variability.

Dimensionality reduction in neural models: an information-theoretic generalization of spike-triggered average and covariance analysis

Discovering Event Structure in Continuous Narrative Perception and Memory

Discrete Stepping and Nonlinear Ramping Dynamics Underlie Spiking Responses of LIP Neurons during Decision-Making

Dissociated functional significance of decision-related activity in the primate dorsal stream

Editorial overview: Machine learning, big data, and neuroscience

Efficient Markov chain Monte Carlo methods for decoding neural spike trains

Efficient inference for time-varying behavior during learning ⬇️

Efficient inference for time-varying behavior during learning

Encoding and decoding in parietal cortex during sensorimotor decision-making

Error-correcting dynamics in visual working memory

Explaining the especially pink elephant

Extracting the dynamics of behavior in sensory decision-making experiments

Fully Bayesian inference for neural models with negative-binomial spiking ⬇️

Functional dissection of signal and noise in MT and LIP during decision-making

Gaussian process based nonlinear latent structure discovery in multivariate spike train data ⬇️

Gaussian process based nonlinear latent structure discovery in multivariate spike train data

Heterogeneous response dynamics in retinal ganglion cells: the interplay of predictive coding and adaptation

High-contrast “gaudy” images improve the training of deep neural network models of visual cortex ⬇️

Identifying signal and noise structure in neural population activity with Gaussian process factor models ⬇️

Inferring learning rules from animal decision-making ⬇️

Inferring sparse representations of continuous signals with continuous orthogonal matching pursuit ⬇️

Inferring synaptic conductances from spike trains with a biophysically inspired point process model ⬇️

Inferring synaptic inputs from spikes with a conductance-based neural encoding model

Is population activity more than the sum of its parts?

Lawful tracking of visual motion in humans, macaques, and marmosets in a naturalistic, continuous, and untrained behavioral context

Learning a latent manifold of odor representations from neural responses in piriform cortex ⬇️

Low-dimensional models of neural population activity in sensory cortical circuits ⬇️

Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model ⬇️

Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model

Model-based decoding, information estimation, and change-point detection techniques for multineuron spike trains

Model-based targeted dimensionality reduction for neuronal population data ⬇️

Model-based targeted dimensionality reduction for neuronal population data

Modeling statistical dependencies in multi-region spike train data

Modeling the impact of common noise inputs on the network activity of retinal ganglion cells

NEURONAL MODELING. Single-trial spike trains in parietal cortex reveal discrete steps during decision-making

Neural characterization in partially observed populations of spiking neurons ⬇️

Optimal prior-dependent neural population codes under shared input noise ⬇️

Perceptual completion across the vertical meridian and the role of early visual cortex

Poisson balanced spiking networks

Power-law efficient neural codes provide general link between perceptual bias and discriminability ⬇️

Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model.

Prefrontal cortex exhibits multidimensional dynamic encoding during decision-making

Receptive field inference with localized priors

Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias

Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias

Response to Comment on "Single-trial spike trains in parietal cortex reveal discrete steps during decision-making".

Scaling the Poisson GLM to massive neural datasets through polynomial approximations ⬇️

Scaling the Poisson GLM to massive neural datasets through polynomial approximations

Sparse Bayesian structure learning with “dependent relevance determination” priors ⬇️

Spatio-temporal correlations and visual signalling in a complete neuronal population

Spectral methods for neural characterization using generalized quadratic models ⬇️

Spike train entropy-rate estimation using hierarchical Dirichlet process priors ⬇️

Spike-triggered neural characterization.

Statistical models for neural encoding, decoding, and optimal stimulus design

Systematic misperceptions of 3-D motion explained by Bayesian inference.