Multicellular Neurobiocomputing

Grant-in-Aid for Transformative Research Areas (B)

Activities

Successfully held the 2nd International Symposium

2023.02.18
(Details)
We gratefully thank Prof. Theoden Netoff (International Advisor, University of Minnesota), Prof. Jordi Soriano (International Advisor, University of Barcelona), Dr. Brett J. Kagan (Cortical Labs, Australia), and Prof. Tomonari Murakami (University of Tokyo), who delivered outstanding presentations as our invited speakers. A total of 104 people from Japan, the U.S., Australia, Spain, Sweden, and Italy participated. The COVID pandemic, which has been continuing since the launch of the project, is finally coming to an end, and this year's event was held in a hybrid format with a focus on in-person meetings. We were reminded of the importance of face-to-face exchanges, not only among the members of the Project, but also in frank discussions with speakers from overseas about new collaborative research possibilities.
第2回シンポジウム

 

---- Session I ----
10:30 - 11:00 In vitro neural systems as intelligent devices: Previous progress and current challenges
B. J. Kagan (Cortical Labs, Australia)
11:00 - 11:20 Reservoir computing models for integrating sensory processing and motor control
Y. Katori (Future Univ. Hakodate, Japan)
11:20 - 11:50 The advantages of neuroengineering and perturbations to explore collective behavior in living neuronal networks
M. Montalà, C. F. López-Leon, S. Ayasreh, I. Jurado, J. Soriano (Univ. Barcelona, Spain)
---- Session II ----
13:30 - 14:00 Machine learning approaches to optimizing neuromodulation therapies in a clinical setting
T. Netoff, Z. Sanger, H. Farooqi, A. Ramadan, A. Lamperski, S. Cooper, E. Krook-Magnuson,
R. McGovern, D. Darrow (Univ. Minnesota, U.S.A.)
14:00 - 14:20 Modular strategy for development of the hierarchical visual network in mice
T. Murakami, T. Matsui, M. Uemura, K. Ohki (Univ. Tokyo, Japan)
14:20 - 14:40 Technical development to construct novel neural circuits in the brain
Y. Masamizu, H. Osaki, K. Nishimura, M. Negishi-Kato, H. Onoe, S. Takeuchi, M. Matsuzaki (Doshisha Univ., Japan)
14:40 - 15:00 LFP theta dynamics contribute to retrieving motor plans after interruptions in the primate premotor area
R. Hosaka, H. Watanabe, T. Nakajima, H. Mushiake (Shibaura Inst. Tech., Japan)
---- Session III ----
15:15 - 15:35 Computational test for the roles of potassium channel inactivation in short-term plasticity
H. Kamiya (Hokkaido Univ., Japan)
15:35 - 15:55 An adaptive automatic system for analyzing single channel currents
A. Hirano-Iwata, M. Sato, M. Hariyama, M. Komiya, H. Yamamoto (Tohoku Univ., Japan)
15:55 - 16:15 Principle for synaptic transmission during excitatory synapse development
S. Katsurabayashi, K. Uchino, S. Kondo, T. Matsui, K. Kubota, T. Watanabe, K. Iwasaki (Fukuoka Univ., Japan)
16:15 - 16:35 Stimulus responses of modular neuronal networks grown on engineered substrates
H. Yamamoto, T. Takemuro, T. Sumi, J. Soriano, S. Sato, A. Hirano-Iwata (Tohoku Univ., Japan)
---- Poster Session ----
11:00 - 12:30 Spatiotemporal characteristics of resting-brain activity investigated using statistical null models
T. Matsui, Y. Hosaka, T. Hieda, K. Jimura (Okayama Univ., Japan)

Learning non-stationary nonlinear dynamics by extracting slow parameter change by a reservoir
K. Tokuda, Y. Katori (Univ. Tsukuba, Japan)

Optimization of reservoir neural network structure for sensorimotor control
A. Fujimoto, H. Yamamoto, S. Moriya, K. Tokuda, Y. Katori, S. Sato (Tohoku Univ., Japan)

Information representations obtained by reward-modulated reservoir computing with short-term synaptic plasticity
J. Nakamura, Y. Katori (Future Univ. Hakodate, Japan)

Mental simulation using reservoir computing for solving control tasks of deterministic systems
Y. Yonemura, Y. Katori (Future Univ. Hakodate, Japan)

Exploring influences of modular structure on time series generation performance in reservoir computing
Y. Ishikawa, Y. Katori, H. Yamamoto, H. Kato, T. Sumi, T. Shinkawa (Future Univ. Hakodate, Japan)

Effects of synaptic scaling and network size on spontaneous firing activity in spiking neural network
T. Shinkawa, H. Kato, Y. Ishikawa, T. Sumi, H. Yamamoto, Y. Katori (Oita Univ., Japan)

Physical reservoir computing with biological neuronal network with modular organization
T. Sumi, H. Yamamoto, K. Ito, Y. Katori, S. Sato, A. Hirano-Iwata (Tohoku Univ., Japan)

In vitro modeling of neural activity modulation induced by interleukin-6
M. Sakaibara, H. Yamamoto, H. Murota, S. Sato, A. Hirano-Iwata (Tohoku Univ., Japan)

State transition of spontaneously firing single neurons in autaptic culture upon electric stimulation
S. Kishino, N. Mochizuki, A. Hirano-Iwata, H. Yamamoto, T. Tanii (Waseda Univ., Japan)

In vitro reconstruction of artificial neuronal networks with oriented inter-modular connections
N. Monma, H. Murota, H. Yamamoto, A. Hirano-Iwata, S. Sato (Tohoku Univ., Japan)

Analysis of structure-function relationship of micropatterned modular neuronal networks on high-density multi-electrode arrays
Y. Sato, H. Yamamoto, H. Kato, T. Tanii, S. Sato, A. Hirano-Iwata (Tohoku Univ., Japan)

Stimulus responses of micropatterned neuronal networks with modular structure grown on high-density multielectrode arrays
Y. Sono, H. Yamamoto, Y. Sato, T. Tanii, A. Hirano-Iwata, S. Sato (Tohoku Univ., Japan)

Analog LSI implementation of spiking neural network for energy efficient computing
S. Moriya, H. Yamamoto, Y. Yuminaka, S. Sato, Y. Horio, J. Madrenas (Tohoku Univ., Japan)

Analog CMOS implementation of majority circuit with large fan-in for neural network applications
S. Ono, S. Moriya, Y. Kanke, H. Yamamoto, Y. Yuminaka, S. Sato (Tohoku Univ., Japan)

Correlation analysis of junction voltages in the physical reservoir composed of two-dimensionally connected Josephson junctions
K. Watanabe, Y. Mizugaki, S. Moriya, H. Yamamoto, S. Sato (Tohoku Univ., Japan)

Seminar by Prof. Pawel Herman was held

2022.11.18
We co-hosted a seminar by Prof. Pawel Herman (Royal Institute of Technology, Sweden), who is staying in Japan as a Visiting Associate Professor at the RIEC, Tohoku University. He introduced the self-organized formation of cell assemblies in the Baysian Confidence Propagation Neural Network, which was formulated as a biologically-plausible learning rule, as well as examples of its machine learning applications. The seminar was attended by 17 people at the on-site venue and 32 people in the Zoom. This seminar was hosted by the "Nano-Spintronics Engineering Research Group" of the RIEC Nation-wide Cooperative Research Projects (Type T).
セミナー

Program

13:00 〜 14:00 Synergistic development of brain models and brain-like computing algorithms for applications
Pawel Herman (KTH Royal Institute of Technology, Stockholm)

Symposium on "Neuroscience, neuroengieering, and neurocomputing for next-generation ICT and medicine" was held at the JSAP Fall Meeting

2022.09.20

At the 83rd Fall Meeting of the Japan Society of Applied Physics, Hideaki Yamamoto (Head Investigator) organized a Technical Symposium with Prof. Chie Hosokawa (Osaka Metropolitan Univ.) on "Neuroscience, neuroengieering, and neurocomputing for next-generation ICT and medicine." We invited Prof. Yuji Ikegaya (Univ. Tokyo) and Prof. Ikuro Suzuki (Tohoku Inst. of Tech.) to give invited talks. Prof. Katori (A01 PI), Prof. Matsui (A03 PI), and Prof. Masamizu (A04 PI) were also invited as invited speakers. (Poster)

応物シンポ2022

The 3rd Research Area Meeting was held

2022.09.07
For the first time since the launch of our Project, the meeting was held in a hybrid format, mixing in-person meetings with Zoom. The face-to-face meeting was held at Future University Hakodate with all members of Group A01, Prof. Horio (A01 Advisor), and Hideaki Yamamoto (Head Investigator). The other group members, advisors, and Prof. Miwa from the MEXT, were connected via Zoom. A great thanks to Prof. Katori for setting up the hybrid meeting.
第3回領域会議

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