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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Stochastic Ising model with plastic interactions

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Pechersky, Eugene ; Via, Guillem ; Yambartsev, Anatoly
Total Authors: 3
Document type: Journal article
Source: Statistics & Probability Letters; v. 123, p. 100-106, APR 2017.
Web of Science Citations: 0

We propose a new model based on the Ising model with the aim to study synaptic plasticity phenomena in neural networks. It is today well established in biology that the synapses or connections between certain types of neurons are strengthened when the neurons are co-active, a form of the so called synaptic plasticity. Such mechanism is believed to mediate the formation and maintenance of memories. The proposed model describes some features from that phenomenon. Together with the spin-flip dynamics, in our model the coupling constants are also subject to stochastic dynamics, so that they interact with each other. The evolution of the system is described by a continuous-time Markov jump process. (C) 2016 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 15/10785-0 - Synaptic plasticity in a stochastic model of neural networks
Grantee:Guillem Via Rodriguez
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 13/07699-0 - Research, Innovation and Dissemination Center for Neuromathematics - NeuroMat
Grantee:Oswaldo Baffa Filho
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 15/03452-5 - Some mathematical problems from statistical physics and radiation theory
Grantee:Anatoli Iambartsev
Support Opportunities: Research Grants - Visiting Researcher Grant - International