Applications open

Young Computational Neuroscientist Program

Can you solve a mystery of the brain?

Duration12 weeksSep 21 – Dec 7
Sessions24 liveGuided sessions
ForClasses 9–12School students
ModeOnlineLive & interactive
Important dates
  • Application deadlineAugust 31, 2026
  • Registration deadlineSeptember 15, 2026
  • Programme startsSeptember 21, 2026
  • Research symposiumDecember 7, 2026
workshops@neurogati.com

Your journey

01Learn
02Build
03Investigate
04Present

Programme stages

Stage 01

Laying the Foundations

Common to all participants

  • Foundations of neuroscience
  • Mathematics as a language for brain models
  • Programming with Python
Stage 02

Three Computational Approaches

Common to all participants

  • Feedforward Networks
  • Attractor Systems
  • Reinforcement Learning
Stage 03

Guided Research Training

Participants divided into 6 teams — 2 per computational approach

  • Guided research training sessions
  • Build, run and analyse your own model
  • Present at the research symposium

Week-by-week curriculum

W01
Stage 01The Brain as a Scientific Mystery
W02
Stage 01Mathematics as a Language for Brain Models
W03
Stage 01Python for Brain Modeling
W04
Stage 01Neurons and Neural Signaling
W05
Stage 02Feedforward Neural Networks
W06
Stage 02Attractor and Recurrent Neural Networks
W07
Stage 02Reinforcement Learning
W08
Stage 03Introduction to the Research Question and Model Design
W09
Stage 03Building the Baseline Model
W10
Stage 03Running Computational Experiments
W11
Stage 03Analysis and Neuroscientific Experiments
W12
Stage 03Research Communication and Symposium

Six teams, six brain mysteries

01Feedforward Networks

The Moving Enigma Illusion

“How can a stationary image produce neural signals interpreted as movement?”

02Feedforward Networks

Seeing a Face but Not the Person

“How can face detection remain intact while face identity recognition fails?”

03Attractor Systems

Selective Memory Loss in Alzheimer's Disease

“Why are some stored memories more vulnerable than others?”

04Attractor Systems

Mood as an Attractor

“How can a temporary emotional change become a persistent mood state?”

05Reinforcement Learning

Parkinsonian Freezing at a Doorway

“Why might a narrow doorway cause an interruption of otherwise successful walking?”

06Reinforcement Learning

ADHD and Excessive Exploration

“Could apparently inconsistent behaviour arise from an agent that explores too much?”

What you'll walk away with

24

Guided Live Sessions

Covering neuroscience, mathematics, Python and computational modelling

6

Research Teams

Two teams per computational approach

12

Weeks

From foundations to symposium presentation

Ready to investigate a real brain mystery?

For fees and scholarship information, write to workshops@neurogati.com