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I have found in different networks that one-to-one bi-directional inhibitory neuron connections to excitatory neurons at certain weights cause an increase beyond original (non-inhibited) firing levels. This does not appear to be physiologically accurate based on what I have heard from someone knowledgeable about neural activities. I have included simple example code here (weight set with "inhib_level" variable; tested on CARLsim6).
For example:
3 layer network, 8x8 size, layer 1: excit.(L1), 2: inhib.(L2), 3: excit.(L3). Connections (all one-to-one): L1->L3, L3->L2, and L2->L3. Firing with weight settings:
I have found in different networks that one-to-one bi-directional inhibitory neuron connections to excitatory neurons at certain weights cause an increase beyond original (non-inhibited) firing levels. This does not appear to be physiologically accurate based on what I have heard from someone knowledgeable about neural activities. I have included simple example code here (weight set with "inhib_level" variable; tested on CARLsim6).
For example:
3 layer network, 8x8 size, layer 1: excit.(L1), 2: inhib.(L2), 3: excit.(L3). Connections (all one-to-one): L1->L3, L3->L2, and L2->L3. Firing with weight settings:
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