Venue
Ichijo Hall, Yayoi Auditorium, The University of Tokyo

113-8657 1-1-1 Yayoi, Bunkyo-ku, TokyoWithin the Faculty of Agriculture, The University of Tokyo

Format
Online and onsite
Registration Registration until 28 February 2026
Call for Posters Submission deadline: 21 February 2026
Notification for acceptance: 28 February 2026
Register

Program

13th, March 2026

Invited Speakers
  • Session 1

    Predictive coding

    Invited Speakers
    Andre Bastos
    Andre Bastos

    Department of Psychology and
    Vanderbilt Brain Institute,
    Vanderbilt University

    An updated perspective on canonical
    microcircuits for predictive coding

    Zenas Chao
    Zenas Chao

    International Research Center for
    Neurointelligence (WPI-IRCN), UTIAS,
    The University of Tokyo

    Searching for the Complete
    Prediction Object

  • Session 2

    Control and planning

    Invited Speakers
    Anne K. Churchland
    Anne K. Churchland

    UCLA Department of Neurobiology

    Life can only be understood backwards:
    predicting future outcomes from past
    actions

    Hiroshi Makino
    Hiroshi Makino

    Department of Physiology,
    Keio University School of Medicine

    Learning in intelligent systems

14th, March 2026

Invited Speakers
  • Session 3

    NeuroAI

    Invited Speakers
    Jun Tani
    Jun Tani

    Okinawa Institute of Science and Technology

    Exploring robotic minds by extending
    the idea of predictive coding and
    active inference

    Pablo
    Pablo Lanillos

    Neuro AI and Robotics group,
    Cajal Neuroscience Center,
    Spanish National Research Council

    Active Inference in Robotics

  • Session 4

    Computational
    psychiatry

    Philip R. Corlett
    Philip R. Corlett

    Yale University
    Department of Psychiatry
    Wu Tsai Institute for Cognition

    Predictive Coding and Delusions:
    Specific Contents from General
    Mechanisms

    Xiaosi Gu
    Xiaosi Gu

    Yale School of Medicine

    The Craving Brain: Computational
    Mechanisms and Implications for
    Psychiatry

Schedule (click names for the abstracts)

13 March 2026

9:15 Registration
9:45 Opening
Session 1: Predictive Coding
11:10 Break
12:50 Lunch
Session 2: Control and Planning
15:20 Break
17:00 Poster session
18:00- Social event
- Information exchange discussion

Registration

Registration period Participation fee

1st December 2025 – 28th February 2026 (JST)

Free

Register
For more information

Registration until
28th February 2026

Register
Registration period

1st December 2025 –
28th February 2026 (JST)

Registration fee

Free

Register

Social event - Information exchange discussion

Date and Time Registration and Fee

13th March 2026, 18:00-20:00

JPY 3,000 for non-students
JPY 1,000 for students

Registration will close once capacity is reached

Register
Date and Time

13th March 2026,
18:00-20:00

Registration and Fee

JPY 3,000 for non-students
JPY 1,000 for students

Registration will close once capacity is reached

Register

Call for Posters

Abstract submission period Notification for acceptance

1st December 2025 – 21st February 2026 (JST)

28th February 2026

Register
Abstract submission period

1st December 2025 –
21st February 2026 (JST)

Notification for acceptance

28th February 2026

Register
※Please submit your abstract via the online registration website

Access

Ichijo Hall, Yayoi Auditorium,
The University of Tokyo

113-8657 1-1-1 Yayoi, Bunkyo-ku, Tokyo Within the Faculty
of Agriculture, The University of Tokyo

Transportation Information
■Subway
  • Tokyo Metro: Todai-mae Station (Namboku Line) - 1 min walk
  • Tokyo Metro: Nezu Station (Chiyoda Line) - 8 min walk
  • Tokyo Metro: Hongo Sanchome Station (Marunouchi Line) - 17 min walk
  • Toei subway: Hongo Sanchome Station (Toei Oedo Line) - 16 min walk
■Toei Bus
From Ochanomizu Station (JR Chuo Line, Sobu Line)
Bus No. Cha51 for Komagome Station South Exit or Bus No. Higashi43 for Arakawa-Dote-Soshajo-mae
get off at Todai-Nogakubu-mae stop - 1 min walk
Google Map
Map

Contact

Please contact us via URL below.

https://unifiedtheory.jp/en/contact/