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Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MSS 2023-03-15
15:15
Nagasaki
(Primary: On-site, Secondary: Online)
Hippocampal CA3 spiking neural network model for constructing never-experienced novel path sequences on a maze task
Kensuke Takada, Katsumi Tateno (Kyushu Inst. Tech.) MSS2022-74 NLP2022-119
Hippocampal neurons that represent the animal's self-location are called "place cells." In the maze task in rodents, hip... [more] MSS2022-74 NLP2022-119
p.64
MBE, NC
(Joint)
2022-03-04
11:00
Online Online Observational learning with an entorhinal-hippocampal spiking neural network encoding the position of self and other
Katsuya Chiguchi, Katsumi Tateno, Kensuke Takada (Kyutech) NC2021-72
This study proposes an entorhinal-hippocampal spiking neural network (SNN) encoding the position of self and other, and ... [more] NC2021-72
p.138
MSS, NLP
(Joint)
2020-03-10
17:35
Aichi  
(Cancelled but technical report was issued)
Learning of action selection with a spiking neural network for encoding path-dependent place information
Katsumi Tateno, Kensuke Takada (Kyutech) NLP2019-133
 [more] NLP2019-133
pp.115-118
NLP, NC
(Joint)
2019-01-23
15:20
Hokkaido The Centennial Hall, Hokkaido Univ. An integrated circuit model of hippocampus and entorhinal cortex for home service robots
Ryo Shimodome, Masashi Kawauchi, Kensuke Takada, Katsumi Tateno, Hakaru Tamukoh, Takashi Morie (Kyutech) NC2018-39
To construct brain-like memory systems, which are desired in the current artificial intelligence, with dedicated hardwar... [more] NC2018-39
pp.5-10
 Results 1 - 4 of 4  /   
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