Assembly-based STDP: a new learning rule for spiking neural networks inspired by biological assemblies

Spiking Neural Networks (SNNs), An alternative to sigmoidal neural networks, include time into their operations using discrete signals called spikes. Employing spikes enables SNNs to mimic any feedforward sigmoidal neural network with lower power consumption. Recently a new type of SNN has been intr...

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Bibliographic Details
Main Authors: Vahid Saranirad, Shirin Dora, Martin McGinnity, Damien Coyle
Format: Default Conference proceeding
Published: 2022
Subjects:
STDP
assembly of neurons
DoB
degree of belonging
spiking neural network
SNN
Online Access:https://hdl.handle.net/2134/19666077.v1
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https://hdl.handle.net/2134/19666077.v1

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