Satoshi Kuroki

This study shows grid cells encode reward distance during path integration in cue-rich environments, with changes in spatial scale and theta oscillations.

The paper extends a Kuramoto model with excitation-inhibition balance and plasticity to study network stability and reorganization during sleep and rest.

The paper develops a computational model of the hippocampal CA3 circuit to simulate how sequential information is compressed and replayed during theta oscillations and sharp-wave ripples.

The paper investigates how sensory signals are represented in the cerebellum by analyzing complex spikes in mouse brain segments.

The paper compares four recurrent neural network models of prefrontal cortex to identify common features in plastic changes during cognitive tasks, finding that plastic synapses are concentrated in small neuronal populations.