Neuroevolution of Liquid State Machine Based on Neural Configurations and Positions
Liquid State Machines (LSMs), a reservoir computing model based on recurrent spiking neural networks, provide a powerful framework for solving spatiotemporal classification tasks by leveraging rich temporal dynamics and event-driven processing. Although the traditional LSM formulation assumes a fixe...
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| Fformat: | Artigo |
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MDPI AG
2026-04-01
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| Cyfres: | Mathematical and Computational Applications |
| Pynciau: | |
| Mynediad Ar-lein: | https://www.mdpi.com/2297-8747/31/2/65 |
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