Implementing Holographic Reduced Representations for Spiking Neural Networks

Implementing Holographic Reduced Representations for Spiking Neural Networks

Neuromorphic Computing surpasses conventional von Neumann architectures in terms of energy efficiency, parallelisation, scalability, and stochasticity. Given the inherent structure of neurons and synapses, neuromorphic computers can be directly implemented as spiking neural networks. Despite these a...

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Bibliographic Details
Main Authors: Vidura Sumanasena, Daswin de Silva, Evgeny Osipov, Dmitri A. Rachkovskij, Ross W. Gayler
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Spiking neural networks (SNN)
vector symbolic architecture (VSA)
holographic reduced representations
neuromorphic computing
Online Access:https://ieeexplore.ieee.org/document/11037669/
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