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spiking neural network in matlab
1) create snn to solve a simple problem based on the leaky integrate and
fire neuron model.
2) train and learn the network using spike trains, spike time dependent plasticity technique etc
2) concentrate on the excitatory post synaptic potentials
4) modify and simplify the post synaptic responses or resonsiveness of the original snn by way of triangles or squares etc by using a simple function
5) compare the original and modified and get the modified version to output the same by maybe having to add more neurons to snn etc .
6) compare the original and modified in terms of timing and hardware implementations,
7)the aim is to reduce hardware implementations of spiking neural networks
by simplifying the post synaptic potentials.
all matlab code to have comments to right side of each line in english
provide simulations and screen shots, timing ,
Added 23 AUG 2012, 2:59 AM EDT
all code an...
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