| 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 | 318 | 2014 |
| 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 | 299 | 2018 |
| 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 | 220 | 2013 |
| 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 | 163 | 2019 |
| 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 | 140 | 2019 |
| Generalized shape metrics on neural representations AH Williams, E Kunz, S Kornblith, S Linderman Advances in Neural Information Processing Systems 34, 4738-4750, 2021 | 132 | 2021 |
| 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 | 112 | 2020 |
| 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 | 97 | 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 | 53 | 2014 |
| Dendritic trafficking faces physiologically critical speed-precision tradeoffs AH Williams, C O'Donnell, TJ Sejnowski, T O'Leary Elife 5, e20556, 2016 | 47 | 2016 |
| 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 | 46 | 2021 |
| 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 | 45 | 2020 |
| 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 | 44 | 2015 |
| 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 | 43 | 2021 |
| Homeostatic regulation of neuronal excitability AH Williams, T O'Leary, E Marder Scholarpedia 8 (1), 1656, 2013 | 39 | 2013 |
| 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 | 37 | 2013 |
| Statistical neuroscience in the single trial limit AH Williams, SW Linderman Current opinion in neurobiology 70, 193-205, 2021 | 29 | 2021 |
| 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 | 28 | 2022 |
| 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 | 22 | 2013 |
| Distinguishing discrete and continuous behavioral variability using warped autoregressive HMMs J Costacurta, L Duncker, B Sheffer, W Gillis, C Weinreb, J Markowitz, ... Advances in neural information processing systems 35, 23838-23850, 2022 | 21 | 2022 |
Surya GanguliAssociate Professor, Stanford UniversityPreverjeni e-poštni naslov na stanford.edu