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
782013
The evolution of lossy compression
SE Marzen, S DeDeo
Journal of The Royal Society Interface 14 (130), 20170166, 2017
292017
Time resolution dependence of information measures for spiking neurons: Scaling and universality
JP Crutchfield, MR DeWeese, SE Marzen
Frontiers in Computational Neuroscience 9, 105, 2015
292015
Predictive rate-distortion for infinite-order Markov processes
SE Marzen, JP Crutchfield
Journal of Statistical Physics 163 (6), 1312-1338, 2016
24*2016
Difference between memory and prediction in linear recurrent networks
S Marzen
Physical Review E 96 (3), 032308, 2017
232017
Informational and causal architecture of discrete-time renewal processes
SE Marzen, JP Crutchfield
Entropy 17 (7), 4891-4917, 2015
232015
Information anatomy of stochastic equilibria
S Marzen, JP Crutchfield
Entropy 16 (9), 4713-4748, 2014
232014
Structure and Randomness of Continuous-Time, Discrete-Event Processes
S Marzen, JP Crutchfield
Journal of Statistical Physics 169 (2), 303-315, 2017
192017
Informational and causal architecture of continuous-time renewal processes
S Marzen, JP Crutchfield
Journal of Statistical Physics 168 (1), 109-127, 2017
182017
Nearly maximally predictive features and their dimensions
SE Marzen, JP Crutchfield
Physical Review E 95 (5), 051301, 2017
162017
Signatures of infinity: Nonergodicity and resource scaling in prediction, complexity, and learning
JP Crutchfield, S Marzen
Physical Review E 91 (5), 050106, 2015
162015
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
142016
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
112016
Weak universality in sensory tradeoffs
S Marzen, S DeDeo
Physical Review E 94 (6), 060101, 2016
92016
Optimized bacteria are environmental prediction engines
SE Marzen, JP Crutchfield
Physical Review E 98 (1), 012408, 2018
62018
Infinitely large, randomly wired sensors cannot predict their input unless they are close to deterministic
S Marzen
PloS one 13 (8), e0202333, 2018
32018
An equivalence between a Maximum Caliber analysis of two-state kinetics and the Ising model
S Marzen, D Wu, M Inamdar, R Phillips
arXiv preprint arXiv:1008.2726, 2010
32010
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
arXiv preprint arXiv:2005.03214, 2020
22020
On the role of theory and modeling in neuroscience
D Levenstein, VA Alvarez, A Amarasingham, H Azab, RC Gerkin, ...
arXiv preprint arXiv:2003.13825, 2020
22020
Revisiting perceptual distortion for natural images: Mean discrete structural similarity index
C Hillar, S Marzen
2017 Data Compression Conference (DCC), 241-249, 2017
22017
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Articles 1–20