Embodied Synaptic Plasticity With Online Reinforcement Learning

Embodied Synaptic Plasticity With Online Reinforcement Learning

The endeavor to understand the brain involves multiple collaborating research fields. Classically, synaptic plasticity rules derived by theoretical neuroscientists are evaluated in isolation on pattern classification tasks. This contrasts with the biological brain which purpose is to control a body...

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Bibliographic Details
Main Authors: Jacques Kaiser, Michael Hoff, Andreas Konle, J. Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rüdiger Dillmann
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-10-01
Series:Frontiers in Neurorobotics
Subjects:
neurorobotics
synaptic plasticity
spiking neural networks
neuromorphic vision
reinforcement learning
Online Access:https://www.frontiersin.org/article/10.3389/fnbot.2019.00081/full

Internet

https://www.frontiersin.org/article/10.3389/fnbot.2019.00081/full

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