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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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11037669/ |
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