| Statistical mechanics of Monod–Wyman–Changeux (MWC) models S Marzen, HG Garcia, R Phillips Journal of molecular biology 425 (9), 1433-1460, 2013 | 84 | 2013 |
| 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 | 31 | 2015 |
| The evolution of lossy compression SE Marzen, S DeDeo Journal of The Royal Society Interface 14 (130), 20170166, 2017 | 30 | 2017 |
| Predictive rate-distortion for infinite-order Markov processes SE Marzen, JP Crutchfield Journal of Statistical Physics 163 (6), 1312-1338, 2016 | 27* | 2016 |
| Difference between memory and prediction in linear recurrent networks S Marzen Physical Review E 96 (3), 032308, 2017 | 26 | 2017 |
| Informational and causal architecture of discrete-time renewal processes SE Marzen, JP Crutchfield Entropy 17 (7), 4891-4917, 2015 | 24 | 2015 |
| Information anatomy of stochastic equilibria S Marzen, JP Crutchfield Entropy 16 (9), 4713-4748, 2014 | 23 | 2014 |
| Structure and Randomness of Continuous-Time, Discrete-Event Processes S Marzen, JP Crutchfield Journal of Statistical Physics 169 (2), 303-315, 2017 | 20 | 2017 |
| Informational and causal architecture of continuous-time renewal processes S Marzen, JP Crutchfield Journal of Statistical Physics 168 (1), 109-127, 2017 | 19 | 2017 |
| Signatures of infinity: Nonergodicity and resource scaling in prediction, complexity, and learning JP Crutchfield, S Marzen Physical Review E 91 (5), 050106, 2015 | 18 | 2015 |
| Nearly maximally predictive features and their dimensions SE Marzen, JP Crutchfield Physical Review E 95 (5), 051301, 2017 | 17 | 2017 |
| 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 | 14 | 2016 |
| 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 | 13 | 2016 |
| Weak universality in sensory tradeoffs S Marzen, S DeDeo Physical Review E 94 (6), 060101, 2016 | 9 | 2016 |
| 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 | 8 | 2020 |
| Optimized bacteria are environmental prediction engines SE Marzen, JP Crutchfield Physical Review E 98 (1), 012408, 2018 | 7 | 2018 |
| 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 | 4 | 2010 |
| Infinitely large, randomly wired sensors cannot predict their input unless they are close to deterministic S Marzen PloS one 13 (8), e0202333, 2018 | 3 | 2018 |
| Learning about learning by many-body systems W Zhong, JM Gold, S Marzen, JL England, NY Halpern arXiv preprint arXiv:2004.03604, 2020 | 2 | 2020 |
| 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 | 2 | 2020 |
Michael R DeWeeseAssociate Professor of Physics and Neuroscience, University of California at Berkeley確認したメール アドレス: berkeley.edu
