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Alex H Williams
Alex H Williams
New York University & Flatiron Institute
Verified email at nyu.edu - Homepage
Title
Cited by
Cited by
Year
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
3012014
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
2492018
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
2092013
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
1232019
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
1102019
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
822020
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
712019
Generalized shape metrics on neural representations
AH Williams, E Kunz, S Kornblith, S Linderman
Advances in Neural Information Processing Systems 34, 4738-4750, 2021
582021
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
Homeostatic regulation of neuronal excitability
AH Williams, T O'Leary, E Marder
Scholarpedia 8 (1), 1656, 2013
372013
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
352013
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
342021
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
292020
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
262021
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
Statistical neuroscience in the single trial limit
AH Williams, SW Linderman
Current opinion in neurobiology 70, 193-205, 2021
212021
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
192015
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
132022
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Articles 1–20