26 citations · 58 across the 6 of their papers we have counts for
7 papers
Switching Autoregressive Low-rank Tensor Models
Hyun Dong Lee, Andrew Warrington, Joshua I. Glaser +1
An important problem in time-series analysis is modeling systems with time-varying dynamics. Probabilistic models with joint continuous and discrete latent states offer interpretab…
Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI
Jesse A. Livezey, Joshua I. Glaser
Decoding behavior, perception, or cognitive state directly from neural signals has applications in brain-computer interface research as well as implications for systems neuroscienc…
The Roles of Supervised Machine Learning in Systems Neuroscience
Joshua I. Glaser, Ari S. Benjamin, Roozbeh Farhoodi +1
Over the last several years, the use of machine learning (ML) in neuroscience has been rapidly increasing. Here, we review ML's contributions, both realized and potential, across s…
Machine learning for neural decoding
Joshua I. Glaser, Ari S. Benjamin, Raeed H. Chowdhury +3
Despite rapid advances in machine learning tools, the majority of neural decoding approaches still use traditional methods. Modern machine learning tools, which are versatile and e…
Puzzle Imaging: Using Large-scale Dimensionality Reduction Algorithms for Localization
Joshua I. Glaser, Bradley M. Zamft, George M. Church +1
Current high-resolution imaging techniques require an intact sample that preserves spatial relationships. We here present a novel approach, "puzzle imaging," that allows imaging a…
Spatial Information in Large-Scale Neural Recordings
Thaddeus R. Cybulski, Joshua I. Glaser, Adam H. Marblestone +4
A central issue in neural recording is that of distinguishing the activities of many neurons. Here, we develop a framework, based on Fisher information, to quantify how separable a…
Physical Principles for Scalable Neural Recording
Adam H. Marblestone, Bradley M. Zamft, Yael G. Maguire +15
Simultaneously measuring the activities of all neurons in a mammalian brain at millisecond resolution is a challenge beyond the limits of existing techniques in neuroscience. Entir…