Spiking Neural Network Simulation
In this video we will show a simple spiking neural network that simulates a group of brain neurons We can see in the diagram two inputs: one is triggered with a 4 seconds timer, and the other triggered manually. In addition to that, there's a Membrane Potential graph, which shows the voltage on the output neuron, and a graph which shows the resulting spikes of the neural network We can see from the simulation that since the Membrane Potential is not crossing the threshold, the output neuron does not produce any spike. Even if I create spikes from the second neuron, this will not be enough to excite the output neuron. The only way to do that is the timely spiking of both input networks to produce a Membrane Potential that is above the threshold. Notice that this simulation is composed of mathematical equations only which mimic the way brain cells work. It includes the following factors: Membrane Time Constant (Tm), Synaptic Time Constant (Ts), Threshold and Weights. Those factors where used to calculate Post Synaptic Response and the effect of the Refractory Period Note that this code was created as an extension to the Encog Neural Networks Framework. The modularity of the code always very easy integration of SNNs inside any application Next videos will contain some of these applications....
Thank you a lot for the video, could you please provide me with the simulator and code source to use it for academic purposes and to develope my application?
Thanks again
SyrianScientist 7 months ago
@SyrianScientist sorry, but i can't...
fifothekid 7 months ago