nMNSD—A Spiking Neuron-Based Classifier That Combines Weight-Adjustment and Delay-Shift

nMNSD—A Spiking Neuron-Based Classifier That Combines Weight-Adjustment and Delay-Shift

The recent “multi-neuronal spike sequence detector” (MNSD) architecture integrates the weight- and delay-adjustment methods by combining heterosynaptic plasticity with the neurocomputational feature spike latency, representing a new opportunity to understand the mechanisms underlying biological lear...

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Bibliographic Details
Main Authors: Gianluca Susi, Luis F. Antón-Toro, Fernando Maestú, Ernesto Pereda, Claudio Mirasso
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Neuroscience
Subjects:
classification
delay learning
MNSD
online learning
spike latency
heterosynaptic plasticity
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.582608/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2021.582608/full

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