What question did this study set out to answer?

To explore how rhythmic modulation in a modified Wilson–Cowan model aids in balancing stability and plasticity in synaptic learning processes.

June 7, 2026Open Access

Rhythmic Gating of Hebbian Plasticity in a Modified Wilson–Cowan Model as a Mechanism for Stability–Plasticity Balance

Key Points

To explore how rhythmic modulation in a modified Wilson–Cowan model aids in balancing stability and plasticity in synaptic learning processes.
Developed a computational model integrating Hebbian plasticity into a modified Wilson–Cowan framework.
Incorporated rhythmic modulation to structure phase-dependent learning windows.
Analyzed the model's ability to prevent unstable synaptic growth.
Learning is facilitated during specific phase-dependent windows influenced by neural oscillations.
The model maintains stability while allowing continuous learning, addressing the stability-plasticity dilemma.
Disruptions in neural rhythms are suggested to contribute to learning difficulties.

Abstract

This paper introduces a theoretical computational model that links large-scale brain activity with synaptic learning processes to address the stability–plasticity dilemma, a central challenge in neuroscience. By integrating Hebbian plasticity into a modified Wilson–Cowan framework and incorporating rhythmic modulation, the model demonstrates that learning occurs in phase-dependent “windows” structured by neural oscillations. This temporal organization allows continuous learning while preventing unstable synaptic growth. The findings provide a mechanistic explanation for how the brain balances stability and adaptability and suggest that disruptions in neural rhythms may contribute to learning difficulties, offering a theoretical foundation for rhythm-based interventions.

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