Some hints for the project

After a week, we all thought we could not understand the project if our supervisor Marsland did not help us. We seek the our supervisor by the email. Fortunately, our supervisor promised us having a meeting in 18 Feb 2013. In this meeting, our supervised  told us some knowledge. We could learn much and understand better because we had learned a bit of these knowledge.

Our tutorial give us four instructions.

The first instruction is neural network. We have talked it before. But there still have some hints. 

1) connection = synapse

2)connection strength =synaptic weight

3) artificial neural network can be "trained" by synaptic weight to a ideal output for a pattern of input.

The second instruction is spiking neural network. In this part, we know the architecture of spiking neural network and all kinds of  figures about weight, delay and output spike.

The third instruction is limited precision. We know how to express the limited precision in the Matlab. 

For example, 3 bits for delays    e.g. 1ms------------8ms

                                                                     1,2,3,4,5,6,7,8  

                          3 bits for weights  e.g. allowed values can be ( -3,-2,-1,0,1,2,3,4)

                                                                                                     or (-1.5,-1,-0.5,0,0.5,1,1.5,2)

The fourth instruction is XOR problem and the Genetic algorithm.  The part was neglected because of the limit of time. But it dose not mean we can not finish our project.