Nonlinear Theory and Its Applications, IEICE
Online ISSN : 2185-4106
ISSN-L : 2185-4106
Special Section on Nonlinear Science Workshop on the Journal
Real-time computation of a large-scaled entorhinal-hippocampal spiking neural network using GPU acceleration
Kensuke TakadaKatsumi Tateno
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2022 Volume 13 Issue 2 Pages 349-354


This study investigates the real-time computation of a large-scaled spiking neural network using graphic processing units. A randomly coupled network comprising several hundred thousand spiking neurons was computed in real-time. We also developed an entorhinal-hippocampal neural network consisting of approximately 50,000 spiking neurons and implemented a mechanism to form place cells in the hippocampal network through the entorhinal cortex based on the direction of motion and velocity of a mobile robot. In an experiment using a real mobile robot, we confirmed that place cells were formed in the hippocampus while the robot moved through a square open field.

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