Publications by authors named "Sarah Marzen"

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New analytic formulas for memory and prediction functions in reservoir computers with time delays.
Peyton Mullarkey, Sarah Marzen

Chaos· October 2025

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The role of NMDA receptors in memory and prediction in cultured neural networks.
Martina Lamberti, Michel J A M van Putten, Sarah Marzen, Joost le Feber

J Neural Eng· February 2025

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Complexity-calibrated benchmarks for machine learning reveal when prediction algorithms succeed and mislead.
Sarah E Marzen, Paul M Riechers, James P Crutchfield

Sci Rep· April 2024

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From reinforcement learning to agency: Frameworks for understanding basal cognition.
Gabriella Seifert, Ava Sealander, Sarah Marzen, Michael Levin

Biosystems· January 2024

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Prediction in cultured cortical neural networks.
Martina Lamberti, Shiven Tripathi, Michel J A M van Putten, Sarah Marzen, Joost le Feber

PNAS Nexus· June 2023

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How Well Can We Infer Selection Benefits and Mutation Rates from Allele Frequencies?
Jonathan Soriano, Sarah Marzen

Entropy (Basel)· April 2023

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Not so optimal: The evolution of mutual information in potassium voltage-gated channels.
Alejandra Duran-Urriago, Sarah Marzen

PLoS One· February 2023

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On the Role of Theory and Modeling in Neuroscience.
Daniel Levenstein, Veronica A Alvarez, Asohan Amarasingham, Habiba Azab, Zhe S Chen, Sarah Marzen

J Neurosci· February 2023

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Inference, Prediction, & Entropy-Rate Estimation of Continuous-Time, Discrete-Event Processes.
Sarah E Marzen, James P Crutchfield

Entropy (Basel)· November 2022

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Author Correction: Maximum entropy models provide functional connectivity estimates in neural networks.
Martina Lamberti, Michael Hess, Inês Dias, Michel van Putten, Joost le Feber, Sarah Marzen

Sci Rep· July 2022

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Maximum entropy models provide functional connectivity estimates in neural networks.
Martina Lamberti, Michael Hess, Inês Dias, Michel van Putten, Joost le Feber, Sarah Marzen

Sci Rep· June 2022

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Probabilistic Deterministic Finite Automata and Recurrent Networks, Revisited.
Sarah E Marzen, James P Crutchfield

Entropy (Basel)· January 2022

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A Proposed Probabilistic Method for Distinguishing Between Delusions and Other Environmental Judgements, With Applications to Psychotherapy.
Boopala Arul, Daniel Lee, Sarah Marzen

Front Psychol· August 2021

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Choosing dynamical systems that predict weak input.
Sarah E Marzen

Phys Rev E· July 2021

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Machine learning outperforms thermodynamics in measuring how well a many-body system learns a drive.
Weishun Zhong, Jacob M Gold, Sarah Marzen, Jeremy L England, Nicole Yunger Halpern

Sci Rep· April 2021

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Time cells might be optimized for predictive capacity, not redundancy reduction or memory capacity.
Alexander Hsu, Sarah E Marzen

Phys Rev E· December 2020

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First-principles prediction of the information processing capacity of a simple genetic circuit.
Manuel Razo-Mejia, Sarah Marzen, Griffin Chure, Rachel Taubman, Muir Morrison

Phys Rev E· August 2020

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Inferring an Observer's Prediction Strategy in Sequence Learning Experiments.
Abhinuv Uppal, Vanessa Ferdinand, Sarah Marzen

Entropy (Basel)· August 2020

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Prediction and Dissipation in Nonequilibrium Molecular Sensors: Conditionally Markovian Channels Driven by Memoryful Environments.
Sarah E Marzen, James P Crutchfield

Bull Math Biol· January 2020

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Novelty detection improves performance of reinforcement learners in fluctuating, partially observable environments.
Sarah E Marzen

J Theor Biol· September 2019

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Infinitely large, randomly wired sensors cannot predict their input unless they are close to deterministic.
Sarah Marzen

PLoS One· February 2019

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Intrinsic Computation of a Monod-Wyman-Changeux Molecule.
Sarah Marzen

Entropy (Basel)· August 2018

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Optimized bacteria are environmental prediction engines.
Sarah E Marzen, James P Crutchfield

Phys Rev E· July 2018

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Difference between memory and prediction in linear recurrent networks.
Sarah Marzen

Phys Rev E· September 2017

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Nearly maximally predictive features and their dimensions.
Sarah E Marzen, James P Crutchfield

Phys Rev E· May 2017

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