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Sarah Marzen
Sarah Marzen
Unknown affiliation
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Statistical mechanics of monod–wyman–changeux (mwc) models
S Marzen, HG Garcia, R Phillips
Journal of molecular biology 425 (9), 1433-1460, 2013
1112013
The evolution of lossy compression
SE Marzen, S DeDeo
Journal of The Royal Society Interface 14 (130), 20170166, 2017
542017
On the role of theory and modeling in neuroscience
D Levenstein, VA Alvarez, A Amarasingham, H Azab, ZS Chen, ...
Journal of Neuroscience 43 (7), 1074-1088, 2023
522023
Informational and causal architecture of discrete-time renewal processes
SE Marzen, JP Crutchfield
Entropy 17 (7), 4891-4917, 2015
462015
Mathematically Modeling Prey-Catching Behavior of the Tomato Frog
C Tyler, S Marzen, J Monroy
Spora: A Journal of Biomathematics 8 (1), 1-6, 2022
422022
Time resolution dependence of information measures for spiking neurons: Scaling and universality
SE Marzen, MR DeWeese, JP Crutchfield
Frontiers in computational neuroscience 9, 105, 2015
412015
Predictive rate-distortion for infinite-order Markov processes
SE Marzen, JP Crutchfield
Journal of Statistical Physics 163, 1312-1338, 2016
402016
Difference between memory and prediction in linear recurrent networks
S Marzen
Physical Review E 96 (3), 032308, 2017
352017
Structure and Randomness of Continuous-Time, Discrete-Event Processes
S Marzen, JP Crutchfield
Journal of Statistical Physics 169 (2), 303-315, 2017
352017
Nearly maximally predictive features and their dimensions
SE Marzen, JP Crutchfield
Physical Review E 95 (5), 051301, 2017
332017
Informational and causal architecture of continuous-time renewal processes
S Marzen, JP Crutchfield
Journal of Statistical Physics 168, 109-127, 2017
312017
Information anatomy of stochastic equilibria
S Marzen, JP Crutchfield
Entropy 16 (9), 4713-4748, 2014
292014
Statistical Signatures of Structural Organization: The case of long memory in renewal processes
SE Marzen, JP Crutchfield
Physics Letters A 380 (17), 1517 - 1525, 2016
222016
Signatures of infinity: Nonergodicity and resource scaling in prediction, complexity, and learning
JP Crutchfield, S Marzen
Physical Review E 91 (5), 050106, 2015
212015
First-principles prediction of the information processing capacity of a simple genetic circuit
M Razo-Mejia, S Marzen, G Chure, R Taubman, M Morrison, R Phillips
Physical Review E 102 (2), 022404, 2020
202020
Memory and information processing in recurrent neural networks
A Goudarzi, S Marzen, P Banda, G Feldman, C Teuscher, D Stefanovic
arXiv preprint arXiv:1604.06929, 2016
182016
Optimized bacteria are environmental prediction engines
SE Marzen, JP Crutchfield
Physical Review E 98 (1), 012408, 2018
172018
Machine learning outperforms thermodynamics in measuring how well a many-body system learns a drive
W Zhong, JM Gold, S Marzen, JL England, N Yunger Halpern
Scientific Reports 11 (1), 9333, 2021
152021
Weak universality in sensory tradeoffs
S Marzen, S DeDeo
Physical Review E 94 (6), 060101, 2016
112016
Maximum entropy models provide functional connectivity estimates in neural networks
M Lamberti, M Hess, I Dias, M van Putten, J le Feber, S Marzen
Scientific reports 12 (1), 9656, 2022
62022
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