2013 winter project

1. Neural Network
Chao-Hsuan Shen, Kevin Widjaja, Harshini Chandrashekar

2. We already know...
Introduction
BackGround
Related Research
Project in Industry

3. Methodology
Initial State
Random connection of Neurons.
Initial weight ==1
All the neurons will have a threshold point

4. Mechanisms
Reweight
If a A neuron fires to B and if B fires
back, the weight of A→ B will increase.
Re-connect
Randomly increase the weight from 0 to1

5. Language

6. Tool

7. Physical Architecture

9. Parameters
Neuron
threshold
timeout
Supervisor
neuron per node
neighbor ratio
Observer
input ratio
timeout

10. Output(1)

11. Output(2)

12. Output(3)

13. Output(4)

14. Abnormal case??

15. Discussion

16. "The project leaves me more questions
than answers! "
Lucas Shen

17. Questions & Problems
Randomness
Simulating God’s product vs Playing
God?
neighbor ratio, input, sample interval.......
Simultaneous and parallel?

19. build upon this project

20. build upon this project
Quantitative formalization
@#$%^&*()(*&^%$#$xZSDH
Multi-threading performance
first project need supercomputer for
real

21. General future studies
Computer Science
NeuronScience
Connection between the two

22. CS?
Rethink computation + Networking
1+1? recognize a face? Inspiration?
Parallel processing
100 billion simple neurons could let
you cry and smile, even Love.

23. Corpus Callosum

24. NeuroScience
Physical tool: "Seeing is believing"

25. NeuroScience
Mental tool: "Where hierachical structure
fails"

27. So Long..