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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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Principais autores: Carlos-Alberto López-Herrera, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, Jesús-Arnulfo Barradas-Palmeros
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2026-04-01
סדרה:Mathematical and Computational Applications
נושאים:
reservoir computing
spiking neural network
neuroevolution
genetic algorithm
גישה מקוונת:https://www.mdpi.com/2297-8747/31/2/65
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