Fumio Imamura

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.

This study investigates how the fronto-parietal network switches between independent and coherent temporal coding modes during timing tasks in mice.

The paper identifies a core area in the parietal cortex for ground-tilt representation and shows tilt information is encoded in a condition-invariant low-dimensional manifold across the dorsal cortex.