Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity

Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity

The basal ganglia (BG) is a brain structure that has long been proposed to play an essential role in action selection, and theoretical models of spiking neurons have tried to explain how the BG solves this problem. A recently proposed functional and biologically inspired network model of the striatu...

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Bibliographic Details
Main Authors: Nicolás C. Cruz, Álvaro González-Redondo, Juana L. Redondo, Jesús A. Garrido, Eva M. Ortigosa, Pilar M. Ortigosa
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Neuroinformatics
Subjects:
model tuning
surrogate optimization
black-box optimization
striatum
reinforcement learning
spiking neural networks
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2022.1017222/full

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https://www.frontiersin.org/articles/10.3389/fninf.2022.1017222/full

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