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Leenoy Meshulam
Leenoy Meshulam
Swartz fellow, Burroughs Wellcome CASI fellow
Verified email at uw.edu
Title
Cited by
Cited by
Year
Collective behavior of place and non-place neurons in the hippocampal network
L Meshulam, JL Gauthier, CD Brody, DW Tank, W Bialek
Neuron 96 (5), 1178-1191. e4, 2017
1402017
Coarse graining, fixed points, and scaling in a large population of neurons
L Meshulam, JL Gauthier, CD Brody, DW Tank, W Bialek
Physical review letters 123 (17), 178103, 2019
1162019
Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice
R Schaeffer, M Khona, L Meshulam, International Brain Laboratory, ...
bioRxiv, 2020.06. 09.142745, 2020
382020
Wake-like skin patterning and neural activity during octopus sleep
A Pophale, K Shimizu, T Mano, TL Iglesias, K Martin, M Hiroi, K Asada, ...
Nature 619 (7968), 129-134, 2023
352023
The role of the neuro-astro-vascular unit in the etiology of ataxia telangiectasia
L Meshulam, R Galron, S Kanner, M De Pittà, P Bonifazi, M Goldin, ...
Frontiers in Pharmacology 3, 157, 2012
232012
A brain-wide map of neural activity during complex behaviour
International Brain Laboratory, B Benson, J Benson, D Birman, ...
Biorxiv, 2023.07. 04.547681, 2023
192023
Successes and failures of simplified models for a network of real neurons
L Meshulam, JL Gauthier, CD Brody, DW Tank, W Bialek
Preprint: arxiv. org/abs/2112.14735, 2021
72021
Interpreting collective neural activity underlying spatial navigation in virtual reality
L Meshulam, J Gauthier, D Tank, W Bialek
APS March Meeting Abstracts 2015, G50. 009, 2015
52015
International Brain Laboratory. 2021 “Reverse-Engineering Recurrent Neural Network Solutions to a Hierarchical Inference Task for Mice.”
R Schaeffer, M Khona, L Meshulam, IR Fiete
Advances in Neural Information Processing Systems, 0
4
The renormalization group and information bottleneck: A unified framework
A Tan, L Meshulam, W Bialek, D Schwab
APS March Meeting Abstracts 2019, F66. 007, 2019
32019
Successes and failures of simple statistical physics models for a network of real neurons
L Meshulam, JL Gauthier, CD Brody, DW Tank, W Bialek
arXiv preprint arXiv:2112.14735, 2021
22021
Can simple interactions capture complex features of neural activity underlying behavior in a virtual reality environment?
L Meshulam, J Gauthier, C Brody, D Tank, W Bialek
APS March Meeting Abstracts 2016, F41. 013, 2016
12016
Statistical mechanics for networks of real neurons
L Meshulam, W Bialek
arXiv preprint arXiv:2409.00412, 2024
2024
From 100k pigment cells to skillful camouflage: the role of skin color changes in sleeping octopuses
L Meshulam, A Pophale, K Shimizu, T Mano, S Reiter
APS March Meeting Abstracts 2023, B08. 006, 2023
2023
Defining''success''for pairwise maximum entropy models
L Meshulam, J Gauthier, C Brody, D Tank, W Bialek
APS March Meeting Abstracts 2022, W04. 012, 2022
2022
Why do octopuses camouflage when asleep?
L Meshulam, A Pophale, K Shimizu, S Reiter
APS March Meeting Abstracts 2022, N03. 006, 2022
2022
Quantifying success and failure in simple models of large neural populations
L Meshulam, J Gauthier, C Brody, D Tank, W Bialek
Bulletin of the American Physical Society 65, 2020
2020
RG-inspired analyses of activity in networks of real neurons
L Meshulam, J Gauthier, C Brody, D Tank, W Bialek
APS March Meeting Abstracts 2019, S30. 004, 2019
2019
Collective Behavior and Scaling in Large Populations of Hippocampal Neurons
L Meshulam
Princeton, NJ: Princeton University, 2018
2018
Investigating neuronal populations that are truly large-can we keep our models small?
L Meshulam, J Gauthier, C Brody, D Tank, W Bialek
APS March Meeting Abstracts 2018, Y06. 003, 2018
2018
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Articles 1–20