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08/22/2023
Estimating Noise Correlations in Neural Populations with Wishart Processes
The signaling capacity of a neural population depends on the scale and o...
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11/21/2022
Representational dissimilarity metric spaces for stochastic neural networks
Quantifying similarity between neural representations – e.g. hidden laye...
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10/27/2021
Generalized Shape Metrics on Neural Representations
Understanding the operation of biological and artificial networks remain...
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03/08/2021
Statistical Neuroscience in the Single Trial Limit
Individual neurons often produce highly variable responses over nominall...
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10/10/2020
Point process models for sequence detection in high-dimensional neural spike trains
Sparse sequences of neural spikes are posited to underlie aspects of wor...
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07/19/2019
Universality and individuality in neural dynamics across large populations of recurrent networks
Task-based modeling with recurrent neural networks (RNNs) has emerged as...
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06/29/2019
