Jonathan W. Pillow

Publications146
h-index35
Citations6,189
Highly Influential Citations499
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Spatio-temporal correlations and visual signalling in a complete neuronal population
Statistical dependencies in the responses of sensory neurons govern both the amount of stimulus information conveyed and the means by which downstream neurons can extract it. Although a variety of… Expand
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Spike-triggered neural characterization.
TLDR
Spike-triggered average and covariance analyses can be used to estimate the filters and nonlinear combination rule from extracellular experimental data. Expand
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Discovering Event Structure in Continuous Narrative Perception and Memory
During realistic, continuous perception, humans automatically segment experiences into discrete events. Using a novel model of cortical event dynamics, we investigate how cortical structures generate… Expand
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Prediction and Decoding of Retinal Ganglion Cell Responses with a Probabilistic Spiking Model
TLDR
We show that the stimulus selectivity, reliability, and timing precision of primate retinal ganglion cell light responses can be reproduced accurately with a simple model consisting of a leaky integrate-and-fire spike generator driven by a linearly filtered stimulus, a postspike current, and a Gaussian noise current. Expand
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Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding Model
TLDR
We examine a cascade encoding model for neural response in which a linear filtering stage is followed by a noisy, leaky, integrate-and-fire spike generation mechanism. Expand
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Characterization of Neural Responses with Stochastic Stimuli
TLDR
A fundamental goal of sensory systems neuroscience is the characterization of the functional relationship between environmental stimuli and neural response. Expand
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A Model-Based Spike Sorting Algorithm for Removing Correlation Artifacts in Multi-Neuron Recordings
We examine the problem of estimating the spike trains of multiple neurons from voltage traces recorded on one or more extracellular electrodes. Traditional spike-sorting methods rely on thresholding… Expand
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Statistical models for neural encoding, decoding, and optimal stimulus design.
TLDR
This chapter describes statistical model-based techniques that in some cases provide a unified solution to these two coding problems. Expand
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Single-trial spike trains in parietal cortex reveal discrete steps during decision-making
A better way to explain neuronal activity A brain region called the lateral intraparietal (LIP) area is involved in primate decision-making. The dominant model to explain neuronal firing in LIP… Expand
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Encoding and decoding in parietal cortex during sensorimotor decision-making
It has been suggested that the lateral intraparietal area (LIP) of macaques plays a fundamental role in sensorimotor decision-making. We examined the neural code in LIP at the level of individual… Expand
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