Zobrazeno 1 - 10 of 64 pro vyhledávání: '"Myoung Won Cho"'
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A neural network model based on the cortical modularity
Autor: M. Y. Choi, Myoung Won Cho
Publikováno v: Journal of the Korean Physical Society. 79:772-784
Although the individual cortical areas in the brain support very diverse functions, their anatomical organizations are very similar, given by collections of cortical blocks with nearly the same structure. This character suggests that statistical dyna
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::21a3e7dbbc4169662023ceef84b86a10
https://doi.org/10.1007/s40042-021-00301-0
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4
Supervised learning in a spiking neural network
Autor: Myoung Won Cho
Publikováno v: Journal of the Korean Physical Society. 79:328-335
We introduce a method to train a bio-inspired neural network model, having the characteristics of spiking-timing-dependent interaction and learning, in a manner of supervised learning. We assume the spiking neural network model has the tendency to ob
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::251da407abb3d688e5dcb856dc884f70
https://doi.org/10.1007/s40042-021-00254-4
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5
Response Theory of Spiking Neural Networks
Autor: Myoung Won Cho, M. Y. Choi
Publikováno v: Journal of the Korean Physical Society. 77:168-176
The Feynman machine is a unique model expressing spiking-timing-dependent neural interactions through path integrals. It provides the capability to predict neural firing statistics very precisely. If time-ordered neural interactions are to be represe
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a732d6d1d7f46f383db823059f44288f
https://doi.org/10.3938/jkps.77.168
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7
Akademický článek
Modeling of a Neural System Based on Statistical Mechanics
Autor: Myoung Won Cho, Moo Young Choi
Publikováno v: Entropy, Vol 20, Iss 11, p 848 (2018)
The minimization of a free energy is often regarded as the key principle in understanding how the brain works and how the brain structure forms. In particular, a statistical-mechanics-based neural network model is expected to allow one to interpret m
Externí odkaz: https://doaj.org/article/57208754d7034e3fa1caa3f29d420f23
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9
Simulations in a Spiking Neural Network Model Based on the Free Energy Principle
Autor: Myoung Won Cho
Publikováno v: Journal of the Korean Physical Society. 75:261-270
The Feynman machine is a neural network model in which the spike-timing-dependent firing process is described through a path integral formulation. In addition, the gradient descent in the free energy is proposed as an ideal learning rule of the model
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d7db458afd9b591f4436c26eeafe0251
https://doi.org/10.3938/jkps.75.261
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