Alex Henry Williams
Affiliations: | 2016- | Neuroscience | Stanford University, Palo Alto, CA |
Area:
Computational NeurobiologyWebsite:
http://alexhwilliams.info/Google:
"Alex Williams"Mean distance: 12.55 (cluster 6) | S | N | B | C | P |
Parents
Sign in to add mentorPatsy Dickinson | research assistant | 2009-2012 | Bowdoin College |
Eve Marder | research assistant | 2012-2014 | Brandeis |
Surya Ganguli | grad student | 2016- | (Physics Tree) |
Collaborators
Sign in to add collaboratorAdam Louis Mortimer | collaborator | 2011-2012 | Bowdoin College |
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Publications
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Williams AH, Kunz E, Kornblith S, et al. (2024) Generalized Shape Metrics on Neural Representations. Advances in Neural Information Processing Systems. 34: 4738-4750 |
Low IIC, Giocomo LM, Williams AH. (2023) Remapping in a recurrent neural network model of navigation and context inference. Elife. 12 |
Williams AH, Poole B, Maheswaranathan N, et al. (2023) Discovering Precise Temporal Patterns in Large-Scale Neural Recordings through Robust and Interpretable Time Warping. Neuron. 111: 1685 |
Low IIC, Giocomo LM, Williams AH. (2023) Remapping in a recurrent neural network model of navigation and context inference. Biorxiv : the Preprint Server For Biology |
Maheswaranathan N, Williams AH, Golub MD, et al. (2019) Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics. Advances in Neural Information Processing Systems. 32: 15696-15705 |
Maheswaranathan N, Williams AH, Golub MD, et al. (2019) Universality and individuality in neural dynamics across large populations of recurrent networks. Advances in Neural Information Processing Systems. 2019: 15629-15641 |
Williams AH, Poole B, Maheswaranathan N, et al. (2019) Discovering Precise Temporal Patterns in Large-Scale Neural Recordings through Robust and Interpretable Time Warping. Neuron |
Mackevicius EL, Bahle AH, Williams AH, et al. (2019) Unsupervised discovery of temporal sequences in high-dimensional datasets, with applications to neuroscience. Elife. 8 |
Williams AH, Kim TH, Wang F, et al. (2018) Unsupervised Discovery of Demixed, Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis. Neuron |
O'Leary T, Williams AH, Franci A, et al. (2015) Cell Types, Network Homeostasis, and Pathological Compensation from a Biologically Plausible Ion Channel Expression Model. Neuron. 88: 1308 |