NeurosciencebioRxivPreprint
Learning local geometry and nonlinear topology of neural manifolds via spike-timing dependent plasticity
Nikolas Schonsheck, Chad Giusti
This paper investigates how nonlinear neural manifolds are learned in feed-forward networks using spike-timing dependent plasticity, showing that simple plasticity mechanisms can generate structured receptive fields.
DOI 10.1101/2025.08.27.672728