Program
Technical Program
Feb. 17
9:00  9:10  Greetings A. HiranoIwata (Tohoku Univ., Japan) 
 Special Session 1 (Chair: S. Moriya)  "Spintronicsbased edge computing hardware fundamentals" 


9:10  9:40  [SS11 (Invited)] CMOS + stochastic MTJ: Heterogeneous probabilistic computers for optimization and sampling N. A. Aadit, A. Grimaldi, K. Selcuk, K. Kobayashi, Q. Cao, S. Chowdhury, G. Finocchio, S. Kanai, H. Ohno, S. Fukami, K. Y. Camsari (UC Santa Barbara, U.S.A.) 
9:40  10:00  [SS12] Analog CMOS implementation of spiking neural networks for edge computing S. Sato, S. Moriya, H. Yamamoto, Y. Horio, Y. Yuminaka, J. Madrenas (Tohoku Univ., Japan) 
10:00  10:15  [SS13] Highspeed stochastic simulated annealing for largescale combinatorial optimization problems D. Shin, N. Onizawa, T. Hanyu (Tohoku Univ., Japan) 
10:15  10:30  Break (15 min) 
 Special Session 2 (Chair: H. Yamamoto)  "The 2nd Symposium on Multicellular Neurobiocomputing" 

10:30  11:00  [SS21 (Invited)] In vitro neural systems as intelligent devices: Previous progress and current challenges B. J. Kagan (Cortical Labs, Australia) 
11:00  11:20  [SS22] Reservoir computing models for integrating sensory processing and motor control Y. Katori (Future Univ. Hakodate, Japan) 
11:20  11:50  [SS23 (Invited)] The advantages of neuroengineering and perturbations to explore collective behavior in living neuronal networks M. Montalà, C. F. LópezLeon, S. Ayasreh, I. Jurado, J. Soriano (Univ. Barcelona, Spain) 
11:50  13:30  Lunch Break 
 Special Session 3 (Chair: T. Matsui)  "The 2nd Symposium on Multicellular Neurobiocomputing" 

13:30  14:00  [SS31 (Invited)] Machine learning approaches to optimizing neuromodulation therapies in a clinical setting T. Netoff, Z. Sanger, H. Farooqi, A. Ramadan, A. Lamperski, S. Cooper, E. KrookMagnuson, R. McGovern, D. Darrow (Univ. Minnesota, U.S.A.) 
14:00  14:20  [SS32 (Invited)] 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  [SS33] Technical development to construct novel neural circuits in the brain Y. Masamizu, H. Osaki, K. Nishimura, M. NegishiKato, H. Onoe, S. Takeuchi, M. Matsuzaki (Doshisha Univ., Japan) 
14:40  15:00  [SS34] 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) 
15:00  15:15  Break 
 Special Session 4 (Chair: Y. Katori)  "The 2nd Symposium on Multicellular Neurobiocomputing" 

15:15  15:35  [SS41] Computational test for the roles of potassium channel inactivation in shortterm plasticity H. Kamiya (Hokkaido Univ., Japan) 
15:35  15:55  [SS42] An adaptive automatic system for analyzing single channel currents A. HiranoIwata, M. Sato, M. Hariyama, M. Komiya, H. Yamamoto (Tohoku Univ., Japan) 
15:55  16:15  [SS43] 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  [SS44] Stimulus responses of modular neuronal networks grown on engineered substrates H. Yamamoto, T. Takemuro, T. Sumi, J. Soriano, S. Sato, A. HiranoIwata (Tohoku Univ., Japan) 
16:35  16:50  Break 
 Special Session 5 (Chair: M. Kimura)  "Sustainable computing systems: effective integration of digital and analog elements" 

16:50  17:10  [SS51] Memdevicebased accelerator for beyondneuromorphic systems M. Kimura (Ryukoku Univ., Japan) 
17:10  17:30  [SS52] IMAX3: Amazing dataflowcentric CGRA and its applications Y. Nakashima (NAIST, Japan) 
17:30  17:45  [SS53] Combination of memristor and capacitor for synapse device in neuromorphic spiking computing T. Kuwahara, R. Oshio, M. Kimura, R. Zhang, Y. Nakashima (Ryukoku Univ., Japan) 
17:45  18:00  [SS54] A memcapacitive spiking neural network with circuit nonlinearityaware training R. Oshio, T. Sugahara, A. Sawada, M. Kimura, R. Zhang, Y. Nakashima (NAIST, Japan) 
Feb. 18
 General Session 1 (Chair: S. Sato)  


9:00  9:30  [GS11 (Invited)] Interfacing considerations for digital neuromorphic spiking neural hardware J. Madrenas, B. VallejoMancero, M. Zapata, S. Moriya, S. Sato (Polytechn. Univ. Catalonia, Spain) 

9:30  9:50  [GS12] Towards hardware implementation of hippocampal spatiotemporal learning network model T. Orima, Y. Horio, T. Tsuji (Tohoku Univ., Japan) 

9:50  10:05  [GS13] Filmpenetrating transducers for spinwave reservoir computing: Basic characteristics J. Chen, R. Nakane, G. Tanaka, A. Hirose (Univ. Tokyo, Japan) 

10:05  10:20  [GS14] Reconstructive reservoir computing for edgecomputing use to detect anomaly in timeseries signals J. Kato, G. Tanaka, R. Nakane, A. Hirose (Univ. Tokyo, Japan) 

10:20  10:50  [GS15 (Invited)] Spatial computing offers a new perspective on the control of working memory P. Herman, M. Lundqvist, E.K. Miller (KTH Royal Inst. Technol., Sweden) 

10:50  11:00  Break (10 min)  
11:00  12:30 
 Poster Session  

[P1] Spatiotemporal characteristics of restingbrain activity investigated using statistical null models T. Matsui, Y. Hosaka, T. Hieda, K. Jimura (Okayama Univ., Japan) 

[P2] Learning nonstationary nonlinear dynamics by extracting slow parameter change by a reservoir K. Tokuda, Y. Katori (Univ. Tsukuba, Japan) 

[P3] Optimization of reservoir neural network structure for sensorimotor control A. Fujimoto, H. Yamamoto, S. Moriya, K. Tokuda, Y. Katori, S. Sato (Tohoku Univ, Japan) 

[P4] Information representations obtained by rewardmodulated reservoir computing with shortterm synaptic plasticity J. Nakamura, Y. Katori (Future Univ. Hakodate, Japan) 

[P5] Mental simulation using reservoir computing for solving control tasks of deterministic systems Y. Yonemura, Y. Katori (Future Univ. Hakodate, Japan) 

[P6] 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) 

[P7] 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) 

[P8] Sparse estimation of nonlinear dynamics using generalized dynamical constraints Y. Note, T. Omori (Kobe Univ., Japan) 

[P9] Datadriven approach for image reconstruction using neural ordinary differential equation models K. Inaba, T. Omori (Kobe Univ., Japan) 

[P10] Learning superresolution of Xray CT images of rocks based on sparse representation S. Suzuki, A. Okamoto, K. Michibayashi, T. Omori (Kobe Univ., Japan) 

[P11] Machine learning algorithm for estimating nonlinear neurodynamics by sequential Monte Carlo method and sparse modeling T. Ihara, T. Omori (Kobe Univ., Japan) 

[P12] Physical reservoir computing with biological neuronal network with modular organization T. Sumi, H. Yamamoto, K. Ito, Y. Katori, S. Sato, A. HiranoIwata (Tohoku Univ., Japan) 

[P13] In vitro modeling of neural activity modulation induced by interleukin6 M. Sakaibara, H. Yamamoto, H. Murota, S. Sato, A. HiranoIwata (Tohoku Univ., Japan) 

[P14] State transition of spontaneously firing single neurons in autaptic culture upon electric stimulation S. Kishino, N. Mochizuki, A. HiranoIwata, H. Yamamoto, T. Tanii (Waseda Univ., Japan) 

[P15] In vitro reconstruction of artificial neuronal networks with oriented intermodular connections N. Monma, H. Yamamoto, H. Murota, S. Moriya, A. HiranoIwata, S. Sato (Tohoku Univ., Japan) 

[P16] Analysis of structurefunction relationship of micropatterned modular neuronal networks on highdensity multielectrode arrays Y. Sato, H. Yamamoto, H. Kato, T. Tanii, S. Sato, A. HiranoIwata (Tohoku Univ., Japan) 

[P17] Stimulus responses of micropatterned neuronal networks with modular structure grown on highdensity multielectrode arrays Y. Sono, H. Yamamoto, Y. Sato, T. Tanii, A. HiranoIwata, S. Sato (Tohoku Univ., Japan) 

[P18] Multiple memory accumulation and recall by a hippocampus model reflecting emotional values A. Mizutani, Y. Tanaka, H. Tamukoh, K. Tateno, O. Nomura, T. Morie (Kyushu Inst. Technol., Japan) 

[P19] 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) 

[P20] Analog CMOS implementation of majority circuit with large fanin for neural network applications S. Ono, S. Moriya, Y. Kanke, H. Yamamoto, Y. Yuminaka, S. Sato (Tohoku Univ., Japan) 

[P21] Correlation analysis of junction voltages in the physical reservoir composed of twodimensionally connected Josephson junctions K. Watanabe, Y. Mizugaki, S. Moriya, H. Yamamoto, S. Sato (Tohoku Univ., Japan) 
Social Program
No social events are scheduled this year as a preventive measure to minimize the risks related to COVID19.