Recurrent Spiking Neural Networks for Continuous Motor Control: A Biologically Plausible Model of Motor Cortex
Hiroto Imamura, Fumio Imamura, Jun Igarashi, Yoshikazu Isomura, Riichiro Hira
This paper develops a biologically plausible recurrent spiking neural network model of motor cortex that learns continuous motor control through synaptic plasticity and feedback mechanisms.
bioRxiv · Oct 31, 2026 · PreprintNeuroscience