Joshua I. Glaser

According to our database, Joshua I. Glaser authored at least 11 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Switching Autoregressive Low-rank Tensor Models.

Hyun Dong Lee, Andrew Warrington, Joshua I. Glaser, Scott W. Linderman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Deep learning approaches for neural decoding across architectures and recording modalities.

Jesse A. Livezey, Joshua I. Glaser

Briefings Bioinform., 2021

2020

Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI.

Jesse A. Livezey, Joshua I. Glaser

CoRR, 2020

Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations.

Joshua I. Glaser, Matthew R. Whiteway, John P. Cunningham, Liam Paninski, Scott W. Linderman

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

The Roles of Supervised Machine Learning in Systems Neuroscience.

Joshua I. Glaser, Ari S. Benjamin, Roozbeh Farhoodi, Konrad P. Körding

CoRR, 2018

2017

Machine learning for neural decoding.

Joshua I. Glaser, Raeed H. Chowdhury, Matthew G. Perich, Lee E. Miller, Konrad P. Körding

CoRR, 2017

2016

The Development and Analysis of Integrated Neuroscience Data.

Joshua I. Glaser, Konrad P. Körding

Frontiers Comput. Neurosci., 2016

2015

Puzzle Imaging: Using Large-scale Dimensionality Reduction Algorithms for Localization.

Joshua I. Glaser, Bradley M. Zamft, George M. Church, Konrad P. Körding

CoRR, 2015

2014

Spatial information in large-scale neural recordings.

Thaddeus Cybulski, Joshua I. Glaser, Adam Henry Marblestone, Bradley M. Zamft, Edward S. Boyden III, George M. Church, Konrad P. Körding

Frontiers Comput. Neurosci., 2014

2013

Statistical Analysis of Molecular Signal Recording.

Joshua I. Glaser, Bradley M. Zamft, Adam H. Marblestone, Jeffrey R. Moffitt, Keith E. J. Tyo, Edward S. Boyden III, George M. Church, Konrad P. Körding

PLoS Comput. Biol., 2013

Physical principles for scalable neural recording.

Adam H. Marblestone, Bradley M. Zamft, Yael Maguire, Mikhail G. Shapiro, Thaddeus Cybulski, Joshua I. Glaser, Dario Amodei, P. Benjamin Stranges, Reza Kalhor, David Dalrymple, Dongjin Seo, Elad Alon, Michel M. Maharbiz, Jose M. Carmena, Jan M. Rabaey, Edward S. Boyden III, George M. Church, Konrad P. Körding

Frontiers Comput. Neurosci., 2013