Department of Human Intelligence Systems Dr. Katsumi Tateno Lab

Research overview

We study how firing characteristics of a neuron contribute to information processing in the brain. A variety of firing patterns is found in the brain, such as bursting, persistent firing, and frequency adaptation. Neural firing pattern is an important factor in the brain information processing. We are especially interested in temporal coding in sensory systems and the memory information processing in the hippocampus.


Paper accepted: Biology Open
"Frequency-dependent avoidance movement of glass catfish in response to sinusoidal electrical stimulation and associated spiking patterns of electroreceptors," Yu Adachi, Katsumi Tateno
Poster presentation: The 4th International Symposium on Neuromorphic AI Hardware
Takahiro Fukushima, Kensuke Takada, and Katsumi Tateno, "Emergence of replay of path-dependent place cells in entorhinal cortexhippocampus spiking neural network on linear track"
Yuka Shishido, Osamu Nomura, Katsumi Tateno, Hakaru Tamukoh, and Takashi Morie, "CMOS VLSI implementation of a hippocampal conjunctive place-cue cells network"
Akinobu Mizutani, Ichiro Kawashima, Yuichiro Tanaka, Hakaru Tamukoh, Katsumi Tateno, Osamu Nomura, and Takashi Morie, "Hardware-oriented Brain-inspired Model with Memory Accumulation and Recall Functions to Generate Actions of Home Service Robots"
Oral presentation: The 4th International Symposium on Neuromorphic AI Hardware
Katsumi Tateno and Kensuke Takada, "Parallel computation of entorhinal cortex-hippocampal spiking neural network and its applications in reward-based maze tasks"
Poster presentation: Neuroscience 2022
Kensuke Takada & Katsumi Tateno, "A hippocampal spiking neural network model for replay and place-field deformation in spatial learning"
Paper accepted: IEEE Access
"A Neural Network Model of the Entorhinal Cortex and Hippocampus for Event-order Memory Processing," Hiroki Nakagawa, Katsumi Tateno, Kensuke Takada and Takashi Morie
Poster presentation: 3rd Neumorh symposium
"Recurrent spiking neural network for self-licalization inspired by medial entorhinal cortex", Mau Tanoue, Katsumi Tateno
"A memory-based LSI architecture for entorhinal-hippocamal model", Osamu Nomura, Ichiro Kawashima, Seiji Uenohara, Yuichiro Tanaka, Akinobu Mizutani, Kensuke Takada, Katsumi Tateno, Hakaru Tamukoh, Takashi Morie
Oral presentation: 3rd Neumorh symposium
"Memory-based action planning inspired by hippocampal replay", Akinobu Mizumori, Yuichiro Tanaka, Ichiro Kawashima, Hakaru Tamukoh, Katsumi Tateno, Takashi Morie