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CNeuro2026 Event Schedule
This Summer School is organised in a two sessions: Basic and Advanced. It also includes a number of group discussions, hosted by the organizers and lecturers.

Please find the dates and times of the lectures (in
golden yellow) and the group discussions (in dark blue).

A PDF version of this schedule can be downloaded here.

abcd
abscd

Speaker & Moderator

Date & Time in Beijing, GMT +8

Lecture Title

JULY 7 (Tuesday)

BREAK & DINNER

18.00-20.00

BREAK & DINNER

17.00-19.00

09.00-09.30

09.30-10.00

10.00-11.30

13.00-14.30

15.00-16.30

16.30-17.00

17.00-18.30

18.30-20.00

20.00-21.00

JULY 8 (Wednesday)

10.00-11.30

13.00-14.30

15.00-16.30

16.30-17.00

17.00-18.30

18.30-20.00

20.00-21.00

JULY 9 (Thursday)

10.00-11.30

13.00-14.30

15.00-16.00

16.30-17.00

20.00-21.00

10.00-11.30

13.00-14.00

14.30-15.30

15.30-17.00

20.00-21.00

JULY 11 (Saturday)

10.00-11.30

13.00-14.30

14.30-15.00

15.00-18.30

10.00-11.00

13.00-14.00

14.30-15.30

16.00-17.00

How We (and AI) Solve New Problems

Brain Inspired Dual Timescale Recurrent Model

Moderator: Quan Wen

How Deep Networks Represent Concepts - from Gender, Time and Geography to Composite Notions

ADVANCED SESSION

BASIC SESSION

Brain-Wide Imaging in C. Elegans Behavioral Neuroscience

Organizing Behaviors across Timescales

Moderator: Louis Tao

Recurrent Networks for Cognitive Computation: Foundations and a Case Study in Econoimc Decision-Making

Moderator: Quan Wen

Valuation and Deliberation in the Brain

Moderator: Sen Song

Generative Modeling for Neural Dynamics

Moderator: Quan Wen

How Neural Scaling Laws Emerge from the Statistics of Natural Language - and How to Beat Them

to be announced

High-Throughput Data Analysis and Segmentation in Brain-Wide Imaging

Leveraging AI for Automated Discovery of Interpretable Cognitive Models

Dendritic
Computation

Information Theoretical Approaches to Model Synaptic Plasticity

Illuminating Causal Links between Neural Circuit Activity and Behaviour

Recurrent Networks for Cognitive Computation: Perception-Memory-Decision Interactions

Modeling How the Brain Learns to Represent Ambiguous Environments: Abstraction and Probability

Arrival & Registration

INTRODUCTION

LUNCH BREAK

11.30-13.00

BREAK

30min break

TEACHING ASSISTANTS' OFFICE HOUR

LIFE & SCIENCE PANEL SESSION 2

Matthieu Wyart &
Sukbin Lim

BREAK

30min break

LUNCH BREAK

11.30-13.00

JULY 10 (Friday)

TEACHING ASSISTANTS' OFFICE HOUR

Moderator: Sen Song

LIFE & SCIENCE PANEL SESSION 3

Nathaniel Daw &
Louis Tao

BREAK

30min break

BREAK

JULY 13 (Monday)

LUNCH BREAK

11.30-13.00

BREAK & DINNER

18.30-20.00

JULY 14 (Tuesday)

LUNCH BREAK

11.00-13.00

Opening Remarks

LIFE & SCIENCE
SESSION 1


Hang Zhang &
Aravinthan Samuel

LUNCH BREAK

11.30-13.00

STUDENT SElF-PRESENTATIONS 1

Groups 1-3

TEACHING ASSISTANTS' OFFICE HOUR

Moderator: Louis Tao

Moderator: 
Organizers & Lecturers

Moderator: Quan Wen

BREAK

30min

LUNCH BREAK

11.30-13.00

STUDENT SELF-PRESENTATIONS 2

Groups 4-6

Moderator: 
Organizers & Lecturers

BREAK & DINNER

17.00-20.00

BREAK & DINNER

17.00-20.00

LAB VISIT

 

Moderator: 
Organizers & Lecturers

WORKSHOP

Building Bridges:

Where Neural Networks Meet Cognition, And Theory Meets Data

10.00-18.00

JULY 12 (Sunday)

GROUP PROJECT

Poster Sessions

FAREWELL

LIFE & SCIENCE
SESSION 4


Michael Häusser &
Taro Toyoizumi

Moderator: Louis Tao

TEACHING ASSISTANTS' OFFICE HOUR

BREAK

30min break

Moderator: 
Organizers & Lecturers

BREAK

30min

FAREWELL & FEEDBACK DISCUSSION

ORGANIZATIONS

 
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Tsinghua Laboratory
of Brain & Intelligence


Lv Dalong Building (Building 4)
Ziqiang Science and Technology 

Tsinghua University

Haidan District

100084 Beijing, China

IOB logo.png
CEBSIT logo.png

Institute of
Molecular & Clinical
Ophthalmology Basel

Institute of
Neuroscience

Mittlere Strasse 91
4031 Basel
Switzerland

320 Yue Yang Road
200031 Shanghai, China

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