Katsunori KITANO, PhD


The complexity and flexibility of brain function could be attributed to a huge variety of dynamical behavior of constituents of a neural system, neurons and synapses. My research goal is to understand how the dynamical properties of the constituents play functional roles in neural information processing. To this end, I investigate dynamical behaviors from at the cellular to at a network level, interaction between the constituents, and relationship between the characteristics and brain functions using computational models of neurons and synapses.


kkt23219 at is.ritsumei.ac.jp

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1-1-1 Nojihigashi, Kusatsu, Shiga 525-8577, Japan


Department of Information Science and Engineering, Ritsumeikan University

Areas of Research:

Computational Neuroscience, Neural Information Processing

Curriculum Vitae:

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16/Jun/2024    “Publications” has been updated.