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seen Aug 25 '12 at 10:11

Aug
16
comment Computational differences between spiking neural networks and previous ANNs
Sorry, I wasn't aware of the policy. I just thought the question was in the gray area between the two fields. I will maintain both and link a final answer if I reach it.
Jul
20
comment How can STDP fit with reciprocal connectivity?
Yes I just got that answer from a friend in the field as well. It seems to be the solution - aligning the STDP function not on time 0 but rather on a certain -Xms to the left. Do you have any idea what transmission delay is reasonable?
Jul
19
awarded  Student
Jul
19
asked How can STDP fit with reciprocal connectivity?
Mar
19
comment Computational differences between spiking neural networks and previous ANNs
OK, I think I understand that. But lets take that network, with the exact same structure, and swap the neuron implementation from IAF to perceptron. Have 2 copies of the same topology and running time (M time, N inputs) with a different implementation for the neurons. Why would one be pulse code and the other rate code?
Mar
14
comment Computational differences between spiking neural networks and previous ANNs
Let's take a simple perceptron also with a binary output. From your description it sounds like he too can be interpreted as pulse-code, it's all a question of which time-scale you attribute each iteration of the net (each time-period). However, IAF neurons are considered to have different abilities than perceptrons, namely the ability to find temporal patterns in data. So regardless of interpretation, there should be some essential difference in implementation to account for that. Am I missing something? Thanks a lot Uri
Mar
10
asked Computational differences between spiking neural networks and previous ANNs