Author

S. GouriLakshmi

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#machine learning Preprint Jan 2026

Building Supervision into Hebbian Plasticity through Spike Agreement

This work proposes Supervised Spike Agreement-Dependent Plasticity (Supervised SADP), a gradient-free supervised Hebbian learning algorithm in which class information is embedded directly into the Hebbian plasticity computation rather than introduced through reward modulation.

S. GouriLakshmi, A. Chandrasekharan, Harshit Kumar et al. · 1 citation