Xin Wang
Cited by
Cited by
Parameter efficient training of deep convolutional neural networks by dynamic sparse reparameterization
H Mostafa, X Wang
International Conference on Machine Learning, 4646-4655, 2019
Flexpoint: An adaptive numerical format for efficient training of deep neural networks
U Köster, T Webb, X Wang, M Nassar, AK Bansal, W Constable, O Elibol, ...
Advances in neural information processing systems 30, 2017
Astrocytes contribute to gamma oscillations and recognition memory
HS Lee, A Ghetti, A Pinto-Duarte, X Wang, G Dziewczapolski, F Galimi, ...
Proceedings of the National Academy of Sciences 111 (32), E3343-E3352, 2014
Feedforward excitation and inhibition evoke dual modes of firing in the cat's visual thalamus during naturalistic viewing
X Wang, Y Wei, V Vaingankar, Q Wang, K Koepsell, FT Sommer, ...
Neuron 55 (3), 465-478, 2007
Retinal oscillations carry visual information to cortex
K Koepsell, X Wang, V Vaingankar, Y Wei, Q Wang, DL Rathbun, ...
Frontiers in systems neuroscience 3, 452, 2009
Disruption of mGluR5 in parvalbumin-positive interneurons induces core features of neurodevelopmental disorders
SA Barnes, A Pinto-Duarte, A Kappe, A Zembrzycki, A Metzler, ...
Molecular psychiatry 20 (10), 1161-1172, 2015
How inhibitory circuits in the thalamus serve vision
JA Hirsch, X Wang, FT Sommer, LM Martinez
Annual review of neuroscience 38 (1), 309-329, 2015
Exploring the function of neural oscillations in early sensory systems
K Koepsell, X Wang, J Hirsch, FT Sommer
Frontiers in neuroscience 3, 1112, 2010
Statistical wiring of thalamic receptive fields optimizes spatial sampling of the retinal image
LM Martinez, M Molano-Mazón, X Wang, FT Sommer, JA Hirsch
Neuron 81 (4), 943-956, 2014
Thalamic interneurons and relay cells use complementary synaptic mechanisms for visual processing
X Wang, V Vaingankar, C Soto Sanchez, FT Sommer, JA Hirsch
Nature neuroscience 14 (2), 224-231, 2011
Inhibitory circuits for visual processing in thalamus
X Wang, FT Sommer, JA Hirsch
Current opinion in neurobiology 21 (5), 726-733, 2011
How fine can fine-tuning be? learning efficient language models
E Radiya-Dixit, X Wang
International Conference on Artificial Intelligence and Statistics, 2435-2443, 2020
How Nox2-containing NADPH oxidase affects cortical circuits in the NMDA receptor antagonist model of schizophrenia
X Wang, A Pinto-Duarte, TJ Sejnowski, M Behrens
Antioxidants & Redox Signaling, 2012
Synaptic contributions to receptive field structure and response properties in the rodent lateral geniculate nucleus of the thalamus
V Suresh, UM Çiftçioğlu, X Wang, BM Lala, KR Ding, WA Smith, ...
Journal of Neuroscience 36 (43), 10949-10963, 2016
Recoding of sensory information across the retinothalamic synapse
X Wang, JA Hirsch, FT Sommer
Journal of Neuroscience 30 (41), 13567-13577, 2010
Prolonged ketamine effects in Sp4 hypomorphic mice: mimicking phenotypes of schizophrenia
B Ji, X Wang, A Pinto-Duarte, M Kim, S Caldwell, JW Young, MM Behrens, ...
PLoS One 8 (6), e66327, 2013
Neurons in the thalamic reticular nucleus are selective for diverse and complex visual features
V Vaingankar, CS Soto, X Wang, FT Sommer, JA Hirsch
Frontiers in Integrative Neuroscience 6, 2012
Flexpoint: Predictive numerics for deep learning
V Popescu, M Nassar, X Wang, E Tumer, T Webb
2018 IEEE 25th Symposium on Computer Arithmetic (ARITH), 1-4, 2018
Methods and arrangements to quantize a neural network with machine learning
S Majumdar, R Banner, M Nassar, L Storfer, A Agbaria, E Tumer, T Webb, ...
US Patent 11,216,719, 2022
Spatial scale of receptive fields in the visual sector of the cat thalamic reticular nucleus
C Soto-Sánchez, X Wang, V Vaingankar, FT Sommer, JA Hirsch
Nature communications 8 (1), 800, 2017
The system can't perform the operation now. Try again later.
Articles 1–20