The 5th
Whole Brain Architecture
Hackathon Orientation
June 2021
The Whole Brain Architecture Initiative
&
Cerenaut
Introduction
●Background
○ Who we are
○ The Whole Brain Architecture Approach
○ WBA Hackathons
○ Gist of the Hackathon
●Competition
○ Gist of the Competition
○ Evaluation
00h00〜00h10
Background
Who we are

We are partners
The Whole Brain Architecture Initiative
the Non-profit Organization
&
Cerenaut
for creating brain-inspired
artificial general intelligence
International collaborations
● WBAI (Japan)
● Luria (New York)
● Numenta (co-authored Boosted RSM)
Understand animal intelligence / the brain
Improve machine intelligence
○ Independent Research Group
○ Interested in interaction of brain regions for
intelligent behaviour and decision making
Cerenaut
Supervise graduate students at
Monash
Founded in 2018, Publishing since 2012
Mission: to promote the open development of
Whole Brain Architecture
The Whole Brain Architecture Approach
The Whole Brain Architecture Approach

‘to create a human-like artificial general intelligence (AGI) 

by learning from the architecture of the entire brain.’ 

AGI
Artificial General Intelligence
≒ Human-like/Human-level AI
The WBA Approach
to mimic/reverse-engineer the human brain
having general intelligence
WBA Hackathons
for knowledge and skills amelioration and socializing among
students/researchers in computational neuroscience and AI
Key Concept
Hackathon
theme
The Whole Brain
Architecture
Core Hypothesis
Open platform
strategy
Start learning from
the Brain
Combined ML
Cognitive
Architecture with
LIS (3D simulation
environment)
Tactile
mini-Hackathon,
Hippocampus
Hackathon
2015 2016 2017 2018
Providing a brain
reference
architecture
Tasks performed
with gaze control
The gist of the 5th
WBA Hackathon
❖ To implement Working Memory
❖ To solve Match-to-Sample Tasks
❖ A sample (brain-inspired) cognitive architecture
provided
❖ Biological plausibility to be evaluated
Working Memory
● Short-term memory used in performing tasks
○ Used in any task that requires remembering
recent past
● A building block of intelligence
● Not really has been addressed in
artificial-neural-network-oriented AI
So it is a challenge!
The Competition
Competition
● Period: May 〜 August, 2021
● On the CodaLab AI competition platform
● Code on GitHub will be examined.
● Evaluation 〜 September, 2021
● Max 100,000 JPY reward
Evaluation
Your submission will be evaluated with:
● Task performances
● Biological plausibility of your code
○ Written justification required
○ The code will be inspected.
The rest of the session
• Introduction: 0h00-0h10
• Task details: 0h10-0h25
• Neuroscientific issues: 0h25-0h35
• Architecture details: 0h35-0h50
• Instruction on the CodaLab competition: 0h50-1h00
• Intermission with Q&A including a commercial: 1h00-1h15
• Hands-on session: 1h15-2h00

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Introduction to the 5th Whole Brain Architecture Hackathon Orientation

  • 1. The 5th Whole Brain Architecture Hackathon Orientation June 2021 The Whole Brain Architecture Initiative & Cerenaut
  • 2. Introduction ●Background ○ Who we are ○ The Whole Brain Architecture Approach ○ WBA Hackathons ○ Gist of the Hackathon ●Competition ○ Gist of the Competition ○ Evaluation 00h00〜00h10
  • 4. Who we are
 We are partners The Whole Brain Architecture Initiative the Non-profit Organization & Cerenaut for creating brain-inspired artificial general intelligence
  • 5. International collaborations ● WBAI (Japan) ● Luria (New York) ● Numenta (co-authored Boosted RSM) Understand animal intelligence / the brain Improve machine intelligence ○ Independent Research Group ○ Interested in interaction of brain regions for intelligent behaviour and decision making Cerenaut Supervise graduate students at Monash Founded in 2018, Publishing since 2012
  • 6. Mission: to promote the open development of Whole Brain Architecture The Whole Brain Architecture Approach
  • 7. The Whole Brain Architecture Approach
 ‘to create a human-like artificial general intelligence (AGI) 
 by learning from the architecture of the entire brain.’ 
 AGI Artificial General Intelligence ≒ Human-like/Human-level AI The WBA Approach to mimic/reverse-engineer the human brain having general intelligence
  • 8. WBA Hackathons for knowledge and skills amelioration and socializing among students/researchers in computational neuroscience and AI Key Concept Hackathon theme The Whole Brain Architecture Core Hypothesis Open platform strategy Start learning from the Brain Combined ML Cognitive Architecture with LIS (3D simulation environment) Tactile mini-Hackathon, Hippocampus Hackathon 2015 2016 2017 2018 Providing a brain reference architecture Tasks performed with gaze control
  • 9. The gist of the 5th WBA Hackathon ❖ To implement Working Memory ❖ To solve Match-to-Sample Tasks ❖ A sample (brain-inspired) cognitive architecture provided ❖ Biological plausibility to be evaluated
  • 10. Working Memory ● Short-term memory used in performing tasks ○ Used in any task that requires remembering recent past ● A building block of intelligence ● Not really has been addressed in artificial-neural-network-oriented AI So it is a challenge!
  • 12. Competition ● Period: May 〜 August, 2021 ● On the CodaLab AI competition platform ● Code on GitHub will be examined. ● Evaluation 〜 September, 2021 ● Max 100,000 JPY reward
  • 13. Evaluation Your submission will be evaluated with: ● Task performances ● Biological plausibility of your code ○ Written justification required ○ The code will be inspected.
  • 14. The rest of the session • Introduction: 0h00-0h10 • Task details: 0h10-0h25 • Neuroscientific issues: 0h25-0h35 • Architecture details: 0h35-0h50 • Instruction on the CodaLab competition: 0h50-1h00 • Intermission with Q&A including a commercial: 1h00-1h15 • Hands-on session: 1h15-2h00