Zobrazeno 1 - 10
of 241
pro vyhledávání: '"James P Crutchfield"'
Publikováno v:
New Journal of Physics, Vol 24, Iss 10, p 103033 (2022)
Only a subset of degrees of freedom are typically accessible or measurable in real-world systems. As a consequence, the proper setting for empirical modeling is that of partially-observed systems. Notably, data-driven models consistently outperform p
Externí odkaz:
https://doaj.org/article/d85e50adc7c444debe37996b11ad63d2
Publikováno v:
New Journal of Physics, Vol 24, Iss 8, p 083040 (2022)
Adaptive systems—such as a biological organism gaining survival advantage, an autonomous robot executing a functional task, or a motor protein transporting intracellular nutrients—must somehow embody relevant regularities and stochasticity in the
Externí odkaz:
https://doaj.org/article/c933c4ec91b4445a8568c82fe6bd41a8
Publikováno v:
Frontiers in Computational Neuroscience, Vol 9 (2015)
The mutual information between stimulus and spike-train response is commonly used to monitor neural coding efficiency, but neuronal computation broadly conceived requires more refined and targeted information measures of input-output joint processes.
Externí odkaz:
https://doaj.org/article/4bedccb056cb4628907f80bec6071fd9
Publikováno v:
New Journal of Physics, Vol 18, Iss 2, p 023049 (2016)
We introduce a family of Maxwellian Demons for which correlations among information bearing degrees of freedom can be calculated exactly and in compact analytical form. This allows one to precisely determine Demon functional thermodynamic operating r
Externí odkaz:
https://doaj.org/article/c83aa1025a764a4b8e09c162c9d0cf3f
Autor:
James P Crutchfield, Sean Whalen
Publikováno v:
PLoS Computational Biology, Vol 8, Iss 6, p e1002510 (2012)
We introduce a theory of sequential causal inference in which learners in a chain estimate a structural model from their upstream "teacher" and then pass samples from the model to their downstream "student". It extends the population dynamics of gene
Externí odkaz:
https://doaj.org/article/510819e439304d82b393d8444c98fed0
Publikováno v:
Physical Review E. 107
The averaged steady-state surprisal links a driven stochastic system's information processing to its nonequilibrium thermodynamic response. By explicitly accounting for the effects of nonequilibrium steady states, a decomposition of the surprisal res
Autor:
James P. Crutchfield, Kyle Ray
Publikováno v:
Physical Review Applied. 19
Autor:
Samuel P. Loomis, James P. Crutchfield
Publikováno v:
Chaos (Woodbury, N.Y.). 32(12)
Predictive states for stochastic processes are a nonparametric and interpretable construct with relevance across a multitude of modeling paradigms. Recent progress on the self-supervised reconstruction of predictive states from time-series data focus
Publikováno v:
Information Processes, Systems and Technologies. 3:5-9
Extended acoustic interactions with a humpback whale (Megaptera novaeangliae) were captured via playbacks of the purported “throp” social call and hydrophone recordings of the animal’s vocalized responses during August 2021 in Frederick Sound,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e1eb735ca68d10a5f953a0773515de6
https://doi.org/10.1101/2022.10.07.511372
https://doi.org/10.1101/2022.10.07.511372