Advancing spatio-temporal processing through adaptation in spiking neural networks
Abstract Implementations of spiking neural networks on neuromorphic hardware promise orders of magnitude less power consumption than their non-spiking counterparts. The standard neuron model for spike-based computation on such systems has long been the leaky integrate-and-fire neuron. A computationa...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Nature Portfolio
2025-07-01
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| Serier: | Nature Communications |
| Online adgang: | https://doi.org/10.1038/s41467-025-60878-z |
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