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of 71
pro vyhledávání: '"Todd Hylton"'
Autor:
Todd Hylton
Publikováno v:
Entropy, Vol 24, Iss 6, p 744 (2022)
We describe a model system—a thermodynamic state machine network—comprising a network of probabilistic, stateful automata that equilibrate according to Boltzmann statistics, exchange codes over unweighted bi-directional edges, update a state tran
Externí odkaz:
https://doaj.org/article/4b8140f80de4428d88109b4a7328a7bf
Publikováno v:
Cognitive Computation and Systems (2019)
Mental imagery and planning are important aspects of cognitive behaviour. Being able to predict outcomes through mental simulation can increase environmental fitness and reduce uncertainty. Such predictions reduce surprise and fit with thermodynamica
Externí odkaz:
https://doaj.org/article/ede4830cc2ad42248aa1a5da2dded17d
Autor:
Todd Hylton
Publikováno v:
Proceedings, Vol 47, Iss 1, p 23 (2020)
Concepts from thermodynamics are ubiquitous in computing systems today—e.g., in power supplies and cooling systems, in signal transport losses, in device fabrication, in state changes, and in the methods of machine learning. Here we propose that th
Externí odkaz:
https://doaj.org/article/8edc2187cba247fc9135928e37efe7da
Autor:
Todd Hylton
Publikováno v:
Entropy, Vol 22, Iss 3, p 256 (2020)
A thermodynamically motivated neural network model is described that self-organizes to transport charge associated with internal and external potentials while in contact with a thermal reservoir. The model integrates techniques for rapid, large-scale
Externí odkaz:
https://doaj.org/article/8a5a4642dce1497388b537c64f75923c
Autor:
Todd Hylton
Publikováno v:
From Artificial Intelligence to Brain Intelligence ISBN: 9781003338215
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39b00f3767952ec792d619a92ae9e1b1
https://doi.org/10.1201/9781003338215-6
https://doi.org/10.1201/9781003338215-6
Publikováno v:
Communications of the ACM. 64:35-38
Advocating a new, physically grounded, computational paradigm centered on thermodynamics and an emerging understanding of using thermodynamics to solve problems.
Autor:
Michael J. Hazoglou, Todd Hylton
We propose a model that emulates saccades, the rapid movements of the eye, called the Error Saccade Model, based on the prediction error of the Predictive Vision Model (PVM). The Error Saccade Model carries out movements of the model's field of view
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9907c3ebc606ef28bf7e796afbab7197
Publikováno v:
50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition.
Autor:
Padavic-Callaghan, Karmela (AUTHOR)
Publikováno v:
New Scientist. 1/27/2024, Vol. 261 Issue 3475, p10-10. 2/3p. 1 Color Photograph.