Alex H Williams
Alex H Williams
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Cited by
Cited by
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
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
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
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
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
Universality and individuality in neural dynamics across large populations of recurrent networks
N Maheswaranathan, AH Williams, MD Golub, S Ganguli, D Sussillo
Advances in neural information processing systems 2019, 15629, 2019
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
Dendritic trafficking faces physiologically critical speed-precision tradeoffs
AH Williams, C O'Donnell, TJ Sejnowski, T O'Leary
Elife 5, e20556, 2016
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics
N Maheswaranathan, AH Williams, MD Golub, S Ganguli, D Sussillo
Advances in neural information processing systems 32, 15696, 2019
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
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
Homeostatic regulation of neuronal excitability
AH Williams, T O'Leary, E Marder
Scholarpedia 8 (1), 1656, 2013
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
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
Dynamic and reversible remapping of network representations in an unchanging environment
IIC Low, AH Williams, MG Campbell, SW Linderman, LM Giocomo
bioRxiv, 2020
Statistical Neuroscience in the Single Trial Limit
AH Williams, SW Linderman
arXiv preprint arXiv:2103.05075, 2021
Point process models for sequence detection in high-dimensional neural spike trains
AH Williams, A Degleris, Y Wang, SW Linderman
arXiv preprint arXiv:2010.04875, 2020
Thalamic activity patterns unfolding over multiple time scales predict seizure onset in absence epilepsy
JM Sorokin, A Williams, S Ganguli, J Huguenard
bioRxiv, 2020
Combining tensor decomposition and time warping models for multi-neuronal spike train analysis
AH Williams
bioRxiv, 2020
Fast convolutive nonnegative matrix factorization through coordinate and block coordinate updates
A Degleris, B Antin, S Ganguli, AH Williams
arXiv preprint arXiv:1907.00139, 2019
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