Grant-in-Aid for Transformative Research Areas (A) 2024-2029
Area Events
- HOME
- Events:Area Events
We will organize a workshop at ICONIP2025.
2025.05.26
ICONIP2025 Workshop
Frontiers and Hardware Applications of Neural Network Models
Neural networks have revolutionized various fields, including artificial intelligence, computational neuroscience, and hardware-based computing. This workshop, organized as part of at the 32nd International Conference on Neural Information Processing (ICONIP2025), aims to explore cutting-edge developments in neural network models, their biological foundations, and their implementation in hardware. The workshop will bring together experts from diverse disciplines to discuss advancements in neural dynamics, reservoir computing, robotics, and hardware-based implementations of neural computations.
Date: November 24, 2025
Time: 9AM-12PM
On-site venue: B250 (144)
Abstract submission
A camera-ready one-page abstract in PDF or MS Word format must be submitted via the submission form by Sept. 12th Oct. 31st (extended).
Presentation format: Poster presentation.
Abstract book
Invited Speakers
(ICL, UK)
(Osaka Univ., Japan)
(Future Univ. Hakodate, Japan)
(NTT Basic Research Labs, Japan)
Program
| Time | Title / Author |
|---|---|
| 9:00-9:05 | Opening H. Yamamoto (Tohoku Univ., Japan) |
| Oral Session Chair: Y. Katori (Future Univ. Hakodate, Japan) | |
| 9:05-9:45 | Understanding brain function through neural manifolds J. A. Gallego (ICL, UK) |
| 9:45-10:10 | Spontaneous activity before learning, related with learning T. Kurikawa (Future Univ. Hakodate, Japan) |
| 10:10-10:20 | Break |
| 10:20-10:45 | How do neural networks measure time? Exploring reservoir computing approaches Y. Kawai (Osaka Univ., Japan) |
| 10:45-11:10 | Pseudovortex analysis of chimera states in neuronal networks Y. Yamada, K. Sakai, T. Inagaki, K. Inaba (NTT Basic Research Labs, Japan) |
| Poster Session ※ Posters should be prepared in A0 size (W84.1cm × H118.9cm). | |
| 11:10-11:55 | Temporal difference learning on reservoir computing using cultured neuron model S. Tanaka, Y. Ishikawa, H. Kato, H. Yamamoto, Y. Katori (Future Univ. Hakodate, Japan) Common functional-connectivity abnormalities in at-risk mental state and schizophrenia during resting-state EEG A. Ueno, Y. Higuchi, S. Tamura, S. Nakajima, Y. Okamoto, Y. Hirano, S. Nobukawa (Chiba Institute of Technology, Japan) The role of task difficulty in shaping learning strategies for cognitive flexibility M. Nakamura, T. Kurikawa (Future Univ. Hakodate, Japan) Emotions as whole-brain dynamics: A data-driven whole-brain model approach R. Yanagida, T. Kurikawa (Future Univ. Hakodate, Japan) Towards biologically plausible training of predictive coding-based recurrent spiking neural networks D. Noe, H. Yamamoto, Y. Katori, S. Sato (Tohoku Univ., Japan) A novel meta-heuristic method using BO-PSO parallel algorithm for fitting a qualitative neuron model Z. Yang, T. Kohno (Univ. Tokyo, Japan) Toward hardware implementation of a retina-inspired dynamic visual function H. Yokota, Y. Hayashida, S. Yasukawa (Kyushu Institute of Technology, Japan) Introducing synaptic scaling into learning in spiking neural networks S. Touda, H. Okuno (Osaka Institute of Technology, Japan) A neuro-inspired vision sensor that detects motion direction and its application to motion classification S. Kubo, H. Okuno (Osaka Institute of Technology, Japan) |
| 11:55-12:00 | Closing A. Hirano-Iwata (Tohoku Univ., Japan) |
Organizers
- Yuichi Katori (Future Univ. Hakodate, Japan)
- Hideaki Yamamoto (Tohoku Univ., Japan)
- Ayumi Hirano-Iwata (Tohoku Univ., Japan)
Sponsored by
- Grant-in-Aid for Transformative Research Areas (A) Multicellular Neurobiocomputing: Understanding and Advancing towards Biological Supremacy