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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 17 of 17  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIS, ITE-BCT 2023-10-12
15:55
Yamaguchi HISTORIA UBE
(Primary: On-site, Secondary: Online)
A knowledge acquisition system with a large language model and a hippocampus model for home service robots
Akinobu Mizutani, Yuichiro Tanaka, Hakaru Tamukoh, Katsumi Tateno, Osamu Nomura, Takashi Morie (Kyutech) SIS2023-18
 [more] SIS2023-18
pp.13-18
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 2022-12-03
14:20
Osaka Osaka Electro-Communication University Action Generation for Home Service Robots by Hippocampus Model with Memory Accumulation and Recall Functions
Akinobu Mizutani, Ichiro Kawashima, Yuichiro Tanaka, Hakaru Tamukoh, Katsumi Tateno, Osamu Nomura, Takashi Morie (Kyutech) MBE2022-37 NC2022-59
This paper proposes a brain-inspired artificial intelligence model inspired by brain functions related to the representa... [more] MBE2022-37 NC2022-59
pp.68-73
NLP 2022-11-24
15:50
Shiga
(Primary: On-site, Secondary: Online)
Investigation of the range in application of a neural network with spike timing in quantitative analysis of two gas mixtures
Taiga Manabe, Katsumi Tateno (KIT), Osamu Nakamura (UT) NLP2022-65
Volatile organic compounds (VOCs) are useful substances in industry, but the effects of exposure to VOCs through inhalat... [more] NLP2022-65
pp.36-41
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
NLP 2020-09-10
15:45
Online Online Detection of planktonic prey in glass catfish in a dark room
Sena Nishio, Katsumi Tateno (Kyutech) NLP2020-31
 [more] NLP2020-31
pp.45-48
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)
2020-01-23
16:20
Okinawa Miyakojima Marine Terminal Avoidance behavior of glass catfish in response to sinusoidal electric stimulation in bright or dark environment
Shunsuke Motochika, Yuya Ueda, Katsumi Tateno, Keiichi Horio (Kyutech) NLP2019-87
Animal behavior response is elicited by integrating multiple sensory information. However, a certain sense is potentiall... [more] NLP2019-87
pp.19-22
NLP, NC
(Joint)
2020-01-23
16:40
Okinawa Miyakojima Marine Terminal Action control of a prefrontal cortex model based on hippocampal context-dependent input and reward-triggered synaptic plasticity in a contextual task
Mau Tanoue, Katsumi Tateno (Kyutech) NLP2019-88
 [more] NLP2019-88
pp.23-26
NLP, NC
(Joint)
2020-01-25
13:50
Okinawa Miyakojima Marine Terminal Object-in-Place Representation and Integration of Hippocampus-Entorhinal Cortex Model for Home Service Robots
Yusuke Maeda, Katsumi Tateno, Takashi Morie (Kyutech) NC2019-72
(To be available after the conference date) [more] NC2019-72
p.75
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
NLP 2018-04-27
14:10
Kumamoto Kumaoto Univ. Response properties of electrosensory fibers and movement behavior to sinusoidal electric stimulation in glass catfish
Yu Adachi, Katsumi Tateno (Kyutech) NLP2018-22
Glass catfish have the ability to sense the electric fields. Their electroreceptors are sensitive to around 10 – 20 Hz o... [more] NLP2018-22
pp.107-110
NC, NLP
(Joint)
2016-01-29
14:50
Fukuoka Kyushu Institute of Technology The dynamics of the neuronal cells and an astrocyte during the generation of the carbachol-induced beta oscillation in rat hippocampal slices.
Itsuki Kageyama, Katsumi Tateno, Kiyohisa Natsume (KIT) NC2015-64
Carbachol,a cholinergic agent induces bursts of beta oscillations occur in rat hippocampal slices. The duration of the b... [more] NC2015-64
pp.39-44
NC 2010-10-23
16:00
Fukuoka Kyushu Inst. Tech. (Kitakyushu Sci. and Res. Park) A FPGA-based two-dimensional neuron model and its bifurcation
Katsumi Tateno (Kyutech) NC2010-49
Hybrid neural networks are neural networks consisting of living neurons interacting with artificial neurons. The hybrid ... [more] NC2010-49
pp.41-45
NLP 2005-11-19
13:40
Fukuoka Kyushu Institute of Technology Theta phase coding due to entorhinal cortex - hippocampal loop circuits organized by sensory signals
Jun Igarashi, Katsumi Tateno, Hatsuo Hayashi (kyutech)
When a rat crosses the certain region of an experimental apparatus, certain neurons in the hippocampal region or the ent... [more] NLP2005-79
pp.47-52
NLP 2005-11-19
14:30
Fukuoka Kyushu Institute of Technology Research on The One-Dimensional Map Model of Sleep-Wake Patterns in Autistic Children
Hirotsune Matsuura, Katsumi Tateno, Shuji Aou (Kyushu Inst Technol)
The present study proposes a one-dimensional map of irregular sleep-wake cycle in autistic children. The autism is gener... [more] NLP2005-81
pp.59-64
NLP 2004-11-26
13:00
Fukuoka Kyushu Inst. Tech. High firing rate in a hilar mossy cell model caused by random synaptic input
Katsumi Tateno, Hatsuo Hayashi, Satoru Ishizuka (Kyutech)
Mossy cells receive frequent excitatory synaptic input from granule cells and CA3 pyramidal cells. In the present study... [more] NLP2004-67
pp.1-5
 Results 1 - 17 of 17  /   
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