The Role of Structural Plasticity in Producing Nonrandom Neural Connectivity

Miller, Paul

doi:10.1016/b978-0-12-803784-3.00010-x

Cited by 1 publication

(1 citation statement)

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“…Structural plasticity is a fundamental mechanism in the formation and maturation of biological neural circuits during development [1] [2]. In the field of neuroscience, the study of how structural plasticity contributes to the development of neural circuits has been the subject of significant scientific research [3]. It is known to happen so that neurons maintain their homeostasis [2] and to be guided by electrical activity [4].…”

Section: Introductionmentioning

confidence: 99%

An homeostatic activity-dependent structural plasticity algorithm for richer input combination

Cazalets,

Dambre

2023

2023 International Joint Conference on Neural Networks (IJCNN)

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This paper introduces a novel rate-based variant of homeostatic activity-dependent structural plasticity (HADSP) for echo state networks. Despite its importance in brain development, structural plasticity has been largely overlooked in artificial neural networks. Our algorithm, although using only homeostatic plasticity, let emerge principles of Hebbian learning. Our analysis sheds light on the information processing capabilities of HADSPpowered echo state networks and suggests that HADSP effectively leverages the inter-relationships of the network's inputs. The study highlights the potential for rate-based HADSP to contribute to the field of computational neuroscience and plasticity in echo state networks. Furthermore, our findings highlight the crucial role of structural plasticity in influencing network function and organization and contribute significantly to the ongoing research on leveraging plasticity for the advancement of reservoir computing techniques.

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