User:Paskari/page1

Goal
My PhD requires that I build a computer with the following attributes
 * models virtual neurons
 * neuronal interaction carried out by virtual synapses
 * virtual NGF ensures plasticity of neurons

Nature of Challenge: Putting Plasticity in a Silicon Cortex
As per our November 21st meeting, my supervisor has requested that I write an informal document to outline some of the challenges my PhD will eventually address. I am to present an outline December 4 and have it completed around December 15 The document must be 4000 words (no more, no less, and each word must be polysylabic), and must answer the below three questions:
 * 1) What is plasticity in Bioligy
 * 2) Neuroplasticity
 * 3) synaptic plasticity
 * 4) Spike timing dependent plasticity
 * 5) Long-term potentiation
 * 6) Long-term depression
 * 7) Metaplasticity
 * 8) What are the models around for plasticity
 * 9) General models?
 * 10) Network implementations
 * 11) Perceptron
 * 12) ADALINE
 * 13) Radial basis function
 * 14) Self-organizing map
 * 15) Simple recurrent network
 * 16) Hopfield net
 * 17) Boltzmann machine
 * 18) Committee of machines
 * 19) Associative Neural Network (ASNN)
 * 20) What are the challanges of running them tractably
 * 21) I am probably going to run through all of them and include running times.

Current Implementations

 * 1) Networks
 * 2) FeedForward Neural Network
 * 3) Single-layer perceptron
 * 4) Multi-layer perceptron
 * 5) ADALINE
 * 6) Radial basis function (RBF)
 * 7) Kohonen self-organizing network
 * 8) Recurrent network
 * 9) Simple recurrent network
 * 10) Hopfield network
 * 11) Stochastic neural networks
 * 12) Boltzmann machine
 * 13) Modular neural networks
 * 14) Committee of machines
 * 15) Associative Neural Network (ASNN)
 * 16) Nodes
 * 17) Binary Neuron