Neural NetworkChao-Hsuan Shen, Kevin Widjaja, Harshini Chandrashekar

We already know...

Introduction

BackGround

Related Research

Project in Industry

Methodology

Initial State

Random connection of Neurons.

Initial weight ==1

All the neurons will have a threshold point

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

Language

Tool

Physical Architecture

Parameters

Neuron

threshold

timeout

Supervisor

neuron per node

neighbor ratio

Observer

input ratio

timeout

Output(1)

Output(2)

Output(3)

Output(4)

Abnormal case??

Discussion

"The project leaves me more questions

than answers! "

Lucas Shen

Questions & Problems

Randomness

Simulating God’s product vs Playing

God?

neighbor ratio, input, sample interval.......

Simultaneous and parallel?

build upon this project

build upon this project

Quantitative formalization

@#$%^&*()(*&^%$#$xZSDH

Multi-threading performance

first project need supercomputer for

real

General future studies

Computer Science

NeuronScience

Connection between the two

CS?

Rethink computation + Networking

1+1? recognize a face? Inspiration?

Parallel processing

100 billion simple neurons could let

you cry and smile, even Love.

Corpus Callosum

NeuroScience

Physical tool: "Seeing is believing"

NeuroScience

Mental tool: "Where hierachical structure

fails"

So Long..