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Alex H Williams
Alex H Williams
New York University & Flatiron Institute
在 nyu.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Cell types, network homeostasis, and pathological compensation from a biologically plausible ion channel expression model
T O’Leary, AH Williams, A Franci, E Marder
Neuron 82 (4), 809-821, 2014
3112014
Unsupervised discovery of demixed, low-dimensional neural dynamics across multiple timescales through tensor component analysis
AH Williams, TH Kim, F Wang, S Vyas, SI Ryu, KV Shenoy, M Schnitzer, ...
Neuron 98 (6), 1099-1115. e8, 2018
2712018
Correlations in ion channel expression emerge from homeostatic tuning rules
T O'Leary, AH Williams, JS Caplan, E Marder
Proceedings of the National Academy of Sciences 110 (28), E2645-E2654, 2013
2112013
Universality and individuality in neural dynamics across large populations of recurrent networks
N Maheswaranathan, A Williams, M Golub, S Ganguli, D Sussillo
Advances in neural information processing systems 32, 2019
1422019
Unsupervised discovery of temporal sequences in high-dimensional datasets, with applications to neuroscience
EL Mackevicius, AH Bahle, AH Williams, S Gu, NI Denisenko, ...
Elife 8, e38471, 2019
1272019
Discovering precise temporal patterns in large-scale neural recordings through robust and interpretable time warping
AH Williams, B Poole, N Maheswaranathan, AK Dhawale, T Fisher, ...
Neuron 105 (2), 246-259. e8, 2020
942020
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics
N Maheswaranathan, A Williams, M Golub, S Ganguli, D Sussillo
Advances in neural information processing systems 32, 2019
862019
Generalized shape metrics on neural representations
AH Williams, E Kunz, S Kornblith, S Linderman
Advances in Neural Information Processing Systems 34, 4738-4750, 2021
812021
Many parameter sets in a multicompartment model oscillator are robust to temperature perturbations
JS Caplan, AH Williams, E Marder
Journal of Neuroscience 34 (14), 4963-4975, 2014
522014
Dendritic trafficking faces physiologically critical speed-precision tradeoffs
AH Williams, C O'Donnell, TJ Sejnowski, T O'Leary
Elife 5, e20556, 2016
462016
Summary of the DREAM8 parameter estimation challenge: toward parameter identification for whole-cell models
JR Karr, AH Williams, JD Zucker, A Raue, B Steiert, J Timmer, C Kreutz, ...
PLoS computational biology 11 (5), e1004096, 2015
442015
Dynamic and reversible remapping of network representations in an unchanging environment
IIC Low, AH Williams, MG Campbell, SW Linderman, LM Giocomo
Neuron 109 (18), 2967-2980. e11, 2021
402021
Point process models for sequence detection in high-dimensional neural spike trains
A Williams, A Degleris, Y Wang, S Linderman
Advances in neural information processing systems 33, 14350-14361, 2020
372020
The neuromuscular transform of the lobster cardiac system explains the opposing effects of a neuromodulator on muscle output
AH Williams, A Calkins, T O'Leary, R Symonds, E Marder, PS Dickinson
Journal of Neuroscience 33 (42), 16565-16575, 2013
372013
Homeostatic regulation of neuronal excitability
AH Williams, T O'Leary, E Marder
Scholarpedia 8 (1), 1656, 2013
362013
Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks
A Nayebi, A Attinger, M Campbell, K Hardcastle, I Low, CS Mallory, G Mel, ...
Advances in Neural Information Processing Systems 34, 12167-12179, 2021
312021
Statistical neuroscience in the single trial limit
AH Williams, SW Linderman
Current opinion in neurobiology 70, 193-205, 2021
272021
Animal-to-animal variability in the phasing of the crustacean cardiac motor pattern: an experimental and computational analysis
AH Williams, MA Kwiatkowski, AL Mortimer, E Marder, ML Zeeman, ...
Journal of neurophysiology 109 (10), 2451-2465, 2013
232013
Distinct or shared actions of peptide family isoforms: II. Multiple pyrokinins exert similar effects in the lobster stomatogastric nervous system
PS Dickinson, SC Kurland, X Qu, BO Parker, A Sreekrishnan, ...
Journal of Experimental Biology 218 (18), 2905-2917, 2015
202015
Representational dissimilarity metric spaces for stochastic neural networks
LR Duong, J Zhou, J Nassar, J Berman, J Olieslagers, AH Williams
arXiv preprint arXiv:2211.11665, 2022
152022
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