Hello everyone,
Happy New Year! I want to create a simple neural network consisting of a single neuron
connected by multiple inputs (spike generators). I am aware that I can create single spike
generators and then connect them but it becomes infeasible as the size of input grows. Is
there a way to create a network of maybe 100 spike generators connected to a single LIF
Neuron without explicitly creating 100 of them? Once the connections are made is there a
way that the network is updated when the weights are updated. I want the network to get
updated as I update the weights. Now, I update the weights and reset the network to create
it again with new weights. Any help would be appreciated. Thanks in advance!