team

The third Digital Brain Hackathon

July 3rd - 5th, 2026

Registration

Please complete the form below to register for the hackathon.

Venue:

〒279-0013 Juntendo University Urayasu Hinode Campus, 6-8-1 Hinode, Urayasu, Japan 〒279-0013 千葉県浦安市日の出６丁目８−１順天堂大学浦安日の出キャンパス

Access Guide Downloads:

Receptions

Two evening gatherings are planned for hackathon participants.

Day 1 — July 3, 18:00: A catered reception at the Hinode Campus, with food and special activities. The fee is 3,000 yen for students and 4,000 yen for faculty members.
Day 2 — July 4, 18:00: A BBQ gathering at Kasai Rinkai Park BBQ Beer Garden. Transportation between the campus and the venue will be arranged. The fee is 3,000 yen for students, 5,000 yen for faculty members with soft drinks, or 6,000 yen for faculty members with alcoholic drinks. The BBQ may be canceled depending on the weather.

We sincerely hope that you will join us for the receptions. They will be a valuable opportunity to meet other participants, exchange ideas, and enjoy time together outside the hackathon sessions.

RECEPTION FORM

Aim

This hackathon has two interconnected goals centered on Neuro-Workflow.

1. Neuro-Workflow as a Model Builder

Introduce Neuro-Workflow as a model builder for running simple brain models, with the goal of introducing its concepts and interfaces (Python API and GUI). Hands-on, participants will use dedicated, configurable nodes to assemble brain models, run simulations, and identify areas for improvement.

2. Neuro-Workflow as an AI-Friendly Research Platform

Introduce and advance Neuro-Workflow as an AI-friendly representation of existing models, pipelines, and processes. The goal is to take existing or preliminary code and structure it as nodes and workflows, making workflows reproducible on GUI, and supported and executable by AI agents.

What we will do

Using each group’s existing code as the starting point, participants will:

Build custom nodes — wrap existing analysis code, models, or pipelines as Neuro-Workflow nodes, following the node creation tutorial (video guide) (new tutorials and documentation to be added)
Assemble workflows — connect nodes into full pipelines, both programmatically via Python notebooks and interactively through the Neuro-Workflow GUI
Run on server — execute the assembled workflows on the server from within the GUI

Modeling Approaches

We would like to support the porting into Neuro-Workflow of models such as:

Reverse Engineering Modeling (Isomura)
Disease Diffusion Modeling (Doya, Jovan)
… and many others — if you have a model or pipeline you would like to propose, we invite you to bring it.

Digital Brain Targets

We also invite researchers working on or around the five Digital Brain targets to join, bring their current pipelines, and turn their results into AI-ready workflows:

#	Target
1	Construction of a digital model to identify disease-responsible circuits using PET data
2	Construction of digital models using EEG measurement data and their application to pathological conditions
3	Mapping of gene expression, circuit structure, and circuit function between human and non-human primate brains
4	Prediction and stratification models based on large-scale brain imaging data (Innovative Brain / International Brain)
5	Construction of a dynamic causal model at the whole-brain level using fMRI data

Open Call — Contribute Your Code

Even if you are not attending the hackathon, if you have code within the Brain/Minds project that you would like to see integrated into Neuro-Workflow, we invite you to contribute. Please register, note in the comments that you will not attend, and provide a link to your GitHub repository or codebase. You are also welcome to contact us directly by email.

Before You Come

Register — fill in your name, affiliation, email, and the target you would like to work on in the registration form. You will be added to the Neuro-Workflow system in advance.
Bring your own code — any Python script you have for a neural model, data preprocessing, analysis, or simulation. Unstructured is fine; that is the starting point.
AI coding agent — bring your own Claude Code or Codex subscription if you have one. OpenAI API keys will be provided for those who don’t (please install Codex in that case). Claude Code is preferred.
Laptop — with Python and pip installed. Please pre-install any tools you plan to use (e.g. NEST, TVB).

Schedule (tentative)

July 3rd, Friday

14:00 Opening, self-introduction

14:30 Current status of Digital Brain Platform (Doya)

14:45 Introduction of Neuro-Workflow (Carlos)

15:30 break

16:00 grouping

16:30 Group works

18:00 Reception at the Hinode Campus

July 4th, Saturday

9:00 Group works

13:30 mid-day updates

17:00 end-of-day reports

18:00 BBQ reception at Kasai Rinkai Park BBQ Beer Garden

July 5th, Sunday

9:00 Group works

11:00 Summary and action plans

12:00 Adjourn

Receptions

Two evening gatherings are planned for hackathon participants:

Day 1 — July 3, 18:00: A catered reception at the Hinode Campus, with food and special activities. The fee is 3,000 yen for students and 4,000 yen for faculty members.
Day 2 — July 4, 18:00: A BBQ gathering at Kasai Rinkai Park BBQ Beer Garden. Transportation between the campus and the venue will be arranged. The fee is 3,000 yen for students, 5,000 yen for faculty members with soft drinks, or 6,000 yen for faculty members with alcoholic drinks. The BBQ may be canceled depending on the weather.

We sincerely hope that you will join us for the receptions. They will be a valuable opportunity to meet other participants, exchange ideas, and enjoy time together outside the hackathon sessions.

RECEPTION FORM