Member

田中繁研究室は、脳の働きを理解するために神経現象を研究しています。

Development of a minimal mathematical neuron model with various spiking and bursting modes.
Investigation of spatiotemporal dynamics in closed loop networks like the hippocampal system.
Study of collective activity in neuronal populations with various types of coupling using the spiking and bursting neuron model.
Memorization and recognition of patterns with a simplified network model of the olfactory system.
Development of methods for analyzing and characterizing GPS signals.

Development of computational models of cortical microcircuits and investigation of the computational principles embedded in these circuits and their contribution to the information processing capabilities of the neocortex and hippocampus.
Development of computational models of bidirectional communication between neurons and glia and investigation of the role that glia play in information processing, learning and memory in the brain.
Detail modelling of the olfactory system, by incorporating new features in order to understand the integration of the many factors influencing the construction and transformation of odor representations.
Development of a computational model of the cortex – basal ganglia – thalamus loop in order to reveal the mechanisms behind reinforcement learning, action selection and working memory.
Application of statistical methods and control system theory for signal processing of Near-Infrared Spectroscopy (NIRS), EEG and MRI data.