Joshua I. Glaser
Joshua I. Glaser
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Cited by
Cited by
Physical principles for scalable neural recording
YG Maguire, MG Shapiro, TR Cybulski, JI Glaser, D Amodei, PB Stranges, ...
Frontiers in computational neuroscience 7, 137, 2013
Machine learning for neural decoding
JI Glaser, RH Chowdhury, MG Perich, LE Miller, KP Kording
arXiv preprint arXiv:1708.00909, 2017
Serotonin affects movement gain control in the spinal cord
K Wei, JI Glaser, L Deng, CK Thompson, IH Stevenson, Q Wang, ...
Journal of Neuroscience 34 (38), 12690-12700, 2014
Adoption of a high-impact innovation in a homogeneous population
CH Weiss, J Poncela-Casasnovas, JI Glaser, AR Pah, SD Persell, ...
Physical review x 4 (4), 041008, 2014
The roles of supervised machine learning in systems neuroscience
JI Glaser, AS Benjamin, R Farhoodi, KP Kording
Progress in neurobiology 175, 126-137, 2019
Role of expected reward in frontal eye field during natural scene search
JI Glaser, DK Wood, PN Lawlor, P Ramkumar, KP Kording, MA Segraves
Journal of neurophysiology 116 (2), 645-657, 2016
Statistical analysis of molecular signal recording
JI Glaser, BM Zamft, AH Marblestone, JR Moffitt, K Tyo, ES Boyden, ...
PLoS Comput Biol 9 (7), e1003145, 2013
Feature-based attention and spatial selection in frontal eye fields during natural scene search
P Ramkumar, PN Lawlor, JI Glaser, DK Wood, AN Phillips, MA Segraves, ...
Journal of neurophysiology 116 (3), 1328-1343, 2016
Modeling the effect of selection history on pop-out visual search
YC Tseng, JI Glaser, E Caddigan, A Lleras
PLoS One 9 (3), e89996, 2014
Population coding of conditional probability distributions in dorsal premotor cortex
JI Glaser, MG Perich, P Ramkumar, LE Miller, KP Kording
Nature communications 9 (1), 1-14, 2018
The development and analysis of integrated neuroscience data
JI Glaser, KP Kording
Frontiers in Computational Neuroscience 10, 11, 2016
Spatial Information in Large-Scale Neural Recordings
TR Cybulski, JI Glaser, AH Marblestone, BM Zamft, ES Boyden, ...
Puzzle imaging: Using large-scale dimensionality reduction algorithms for localization
JI Glaser, BM Zamft, GM Church, KP Kording
PloS one 10 (7), e0131593, 2015
The Roles of Machine Learning in Biomedical Science
KP Kording, AS Benjamin, R Farhoodi, JI Glaser
The Bridge 47 (4), 23-30, 2017
A muscle-activity-dependent gain between motor cortex and EMG
S Naufel, JI Glaser, KP Kording, EJ Perreault, LE Miller
Journal of neurophysiology 121 (1), 61-73, 2019
Area 2 of primary somatosensory cortex encodes kinematics of the whole arm
RH Chowdhury, JI Glaser, LE Miller
Elife 9, e48198, 2020
From prior information to saccade selection: evolution of frontal eye field activity during natural scene search
JI Glaser, DK Wood, PN Lawlor, MA Segraves, KP Kording
Cerebral Cortex 30 (3), 1957-1973, 2020
Recording temporal data onto DNA with minutes resolution
NJ Bhan, J Strutz, J Glaser, R Kalhor, E Boyden, G Church, K Kording, ...
bioRxiv, 634790, 2019
Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI
JA Livezey, JI Glaser
arXiv preprint arXiv:2005.09687, 2020
Machine Learning Approaches Towards Understanding Movement Planning in Naturalistic Settings
JI Glaser
Northwestern University, 2018
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