Stephen L. Keeley

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

Anqi Wu, Nicholas A. Roy, Jonathan W. Pillow, 2017, NIPS.

Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations

Jonathan W. Pillow, Jacob L. Yates, David M. Zoltowski, 2019, ICML.

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

Jonathan W. Pillow, Mikio C. Aoi, Yiyi Yu, 2020, bioRxiv.

Modeling fast and slow gamma oscillations with interneurons of different subtype.

Stephen L. Keeley, J. Rinzel, A. Fenton, 2017, Journal of neurophysiology.

Firing rate models for gamma oscillations.

John Rinzel, Áine Byrne, Stephen L. Keeley, 2019, Journal of neurophysiology.

How the Internally Organized Direction Sense Is Used to Navigate

André A. Fenton, Cristina Savin, Eun Hye Park, 2019, Neuron.

Response Time Improves Choice Prediction and Function Estimation for Gaussian Process Models of Perception and Preferences

Stephen L. Keeley, Michael Shvartsman, Benjamin Letham, 2023, ArXiv.

Modeling statistical dependencies in multi-region spike train data

Jonathan W Pillow, Jonathan W. Pillow, Mikio C. Aoi, 2020, Current Opinion in Neurobiology.