Optimizing Reservoir Separability in Liquid State Machines for Spatio-Temporal Classification in Neuromorphic Hardware

In this paper, we propose an optimization approach using Particle Swarm Optimization (PSO) to enhance reservoir separability in Liquid State Machines (LSMs) for spatio-temporal classification in neuromorphic systems. By leveraging PSO, our method fine-tunes reservoir parameters, neuron dynamics, and...

Full description

Saved in:
Bibliographic Details
Main Authors: Oscar I. Alvarez-Canchila, Andres Espinal, Alberto Patiño-Saucedo, Horacio Rostro-Gonzalez
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Journal of Low Power Electronics and Applications
Subjects:
Online Access:https://www.mdpi.com/2079-9268/15/1/4
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items