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.

The paper investigates how thalamocortical pathways from the basal ganglia and cerebellum route credit signals to cortical circuits, revealing anatomical segregation and plasticity mechanisms that enhance learning.

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.

SPERRFY applies Sperry's chemoaffinity theory to whole-brain connectivity using spatial transcriptomics and connectomic data, revealing positional gradients that predict axonal wiring with high accuracy.

This paper investigates how the cerebellum and basal ganglia coordinate reinforcement learning through synchronized neural responses and cortical oscillations in rats.

The paper investigates neural activity patterns in the superior colliculus (SC) and finds that neurons in the deep layers of the anterolateral SC dynamically integrate cortical and local inputs, while others simply relay activity.

The paper identifies two distinct functional modules in the medial posterior parietal cortex of mice, each with unique roles in integrating sensory and cognitive information versus transmitting movement and memory-related signals.

The paper investigates how dopamine systems in the basal ganglia process reward prediction based on working memory versus random rewards in rats and mice.

Diesel2p is an open-source two-photon imaging system that enables high-speed calcium imaging of widely distributed neurons in deep brain tissue with subcellular resolution.

This study shows mice use common strategies to discriminate natural scenes, with performance predicted by a simple V1-inspired model.