Tutorials

2025 ICONIP Tutorials

We are pleased to advise that the following Tutorials are confirmed for the 2025 program. We would like to thank the organisers for the time they took to put forward and manage these sessions.
Some tutorial sessions will be recorded, and the recording will be made available to registered participants for one month following the event.

1. Mathematical Theories of Deep Foundation Models

Led by Taiji Suzuki (The University of Tokyo)

2. A Tutorial on the Free-energy Principle for AI Researchers and Neuroscientists

Led by Takuya Isomura (RIKEN Center for Brain Science)
Sponsored by Unified Theory Project

3. AI for Human Neuroscience Research: Generative AI Modeling and Large-Scale Analysis

3-1. Population Analysis of Large-Scale Human MRI Datasets

Led by Saori Tanaka (ATR, NAIST)

3-2. Human Brain Dynamics Study via Multi-modal Integration and Machine Learning

Led by Dr. Okito Yamashita (ATR, RIKEN API)

3-3. Modeling Human Brain Activity with Generative AI

Led by Yu Takagi (Nagoya Institute of Technology)

4. Improved Explainability with Spiking Neural Networks for Spatiotemporal Brain Data Modelling: Hands-on NeuCube-based-SNN Tutorial

Led by Maryam Doborjeh (Auckland University of Technology), Nikola Kasabov (Auckland University of Technology)

Provides theory and hands-on training with NeuCube for modeling EEG/fMRI data using SNNs. Targets interdisciplinary researchers in brain data science and neuro-inspired AI.

5. A Methodology for Designing Brain-Like AI Software

Led by Yoshimasa Tawatsuji (The University of Tokyo), Hiroshi Yamakawa (The University of Tokyo), Yudai Suzuki (Institute of Space and Astronautical Science)

Offers a structured approach to brain-inspired AI development using Brain-Referenced Architecture (BRA), including practical exercises in BIF, HCD, and FRG design for interpretability, benchmarking, and neuro-inspired system design.