Kristofer E Bouchard

10PUBLICATIONS
11CO-AUTHORS
Circuits and systemsActive sensingData structures and algorithmsSensory processes, perception and performanceNatural language processing
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Publications (10)

|Jun 12, 2026
Accurately fitting biophysical neuron models to experimental voltage data enabled by meta-learning.

|Apr 01, 2026
Distinct laminar origins of sensory-evoked high-gamma and low-frequency ECoG signals revealed by optogenetics.

Pierre-Marie Garderes, Daniel E Feldman, Kristofer E Bouchard

|Nov 19, 2025
Distinct laminar origins of high-gamma and low-frequency ECoG signals revealed by optogenetics.

Pierre-Marie Garderes, Daniel E Feldman, Kristofer E Bouchard

|Nov 06, 2024
The geometry of correlated variability leads to highly suboptimal discriminative sensory coding.

Jesse A Livezey, Pratik S Sachdeva, Maximilian E Dougherty

|Apr 26, 2024
Bayesian inference of structured latent spaces from neural population activity with the orthogonal stochastic linear mixing model.

Rui Meng, Kristofer E Bouchard

|May 16, 2023
DL-TODA: A Deep Learning Tool for Omics Data Analysis.

Cecile M Cres, Andrew Tritt, Kristofer E Bouchard

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Frequent Collaborators

2 joint publications

Edward F Chang

2 joint publications

Pierre-Marie Garderes

2 joint publications

Daniel E Feldman

1 joint publications

Kyung Geun Kim