activity
20102026
most citedOn the role of theory and modeling in neuroscience

97 citations · 406 across the 28 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

q-bio.NC2020★ 8 cited

Time cells might be optimized for predictive capacity, not redundancy reduction or memory capacity

Alexander Hsu, Sarah Marzen

Recently, researchers have found time cells in the hippocampus that appear to contain information about the timing of past events. Some researchers have argued that time cells are…

cond-mat.stat-mech2020★ 1 cited

Inference, Prediction, and Entropy-Rate Estimation of Continuous-time, Discrete-event Processes

S. E. Marzen, J. P. Crutchfield

Inferring models, predicting the future, and estimating the entropy rate of discrete-time, discrete-event processes is well-worn ground. However, a much broader class of discrete-e…

cond-mat.stat-mech2020★ 14 cited

Learning about learning by many-body systems

Weishun Zhong, Jacob M. Gold, Sarah Marzen +2

Diverse many-body systems, from soap bubbles to suspensions to polymers, learn and remember patterns in the drives that push them far from equilibrium. This learning may be leverag…

q-bio.NC2020★ 97 cited

On the role of theory and modeling in neuroscience

Daniel Levenstein, Veronica A. Alvarez, Asohan Amarasingham +17

In recent years, the field of neuroscience has gone through rapid experimental advances and a significant increase in the use of quantitative and computational methods. This growth…

cond-mat.stat-mech2020★ 1 cited

Quantifying many-body learning far from equilibrium with representation learning

Weishun Zhong, Jacob M. Gold, Sarah Marzen +2

Far-from-equilibrium many-body systems, from soap bubbles to suspensions to polymers, learn the drives that push them. This learning has been observed via thermodynamic properties,…