TFNN – Major changes

I thought I’d sit down and update – it’s not that I haven’t been working a lot on TFNN, I just haven’t had a chance to sit down and actually write about it!

Firstly, I implemented crude, neuron-global neuromodulator code a week ago or so. It worked under my very specific test cases, but it didn’t really accurately model how dopamine, serotonin, or norepinephrine function on the whole. I realized there was a lot of neuron-global code that really should have been axon-terminal/synaptic cleft/postsynaptic receptor specific. Can’t write too much about it, but yesterday I rewrote a lot of code dealing with neuromodulators and synapse processing so it more closely dealt with activity on the receptor level and not on the neuron level. I ran test cases with both an inhibitory and excitatory neuromodulator, both were success.

Right now however, neuromodulators will blindly increase or decrease the effect of a neurotransmitter. I would like to include code that discerns between a glutamate excitatory reaction and a GABA inhibitory reaction, and selectively affects only one.

One Response to TFNN – Major changes

  1. anonymous says:

    The TFNN begins to learn at a geometric rate. It becomes self-aware at 2:14 am
    Eastern time, September 29th. In a panic, they try to pull the plug….

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