page Spiking Neuron Network Simulator Documentation

Add Visualization and Web Interface (e.g. http://www.codeproject.com/Articles/5603/QuickGraph-A-100-C-graph-library-with-Graphviz-Sup)

Add Implementations for Training Algorithms RProp and QuickProp

Add Tests for rerun training after a reset and verfiy results are the same

Add Tests for Two consequtive trainings with different learning rates. This test will involve making TrainingParameters tracked per epoch interval and specifying the max number of epochs to train for (Cumulative) and the stopping criteria in the input

Add a Cosine type test

Add parallel computations where possible

Add constructors for multiple types of neurons in SpikingNeuronNetwork

Add neuron implementations for:

* QIF - http://hal.inria.fr/docs/00/10/35/00/PDF/eventdrivenQIF.pdf

* LIF - http://icwww.epfl.ch/~gerstner/SPNM/node26.html

* Izhikevich - http://www.abrg.group.shef.ac.uk/!DATA/attachment/0085.Humphries_simple_model_solutions_preprint.pdf, http://www.abrg.group.shef.ac.uk/code/othercode/simple_model_solutions_code.zip and http://faculty.washington.edu/shlizee/publications/rqif-det.pdf

* Fitz-Hugh Nagumo - http://eqworld.ipmnet.ru/en/solutions/npde/npde1103.pdf

Add Exponential synaptic current, see QIF ref, Bessel Functions

Add 2D models that can be solved analytically, perhaps is possible with dirac synaptic currents