Reinforced liquid state machines-new training strategies for spiking neural networks based on reinforcements.
Journal:
Frontiers in computational neuroscience
Published Date:
May 23, 2025
Abstract
INTRODUCTION: Feedback and reinforcement signals in the brain act as natures sophisticated teaching tools, guiding neural circuits to self-organization, adaptation, and the encoding of complex patterns. This study investigates the impact of two feedback mechanisms within a deep liquid state machine architecture designed for spiking neural networks.
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