update TODO
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@@ -37,9 +37,10 @@ using .interface
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[1] implement connection strength based on right or wrong answer
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[2] during 0 training if 1-9 output neuron fires, adjust weight only those neurons
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[3] implement dormant connection
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[4] Δweight * connection strength
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[] using RL to control learning signal
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[] consider using Dates.now() instead of timestamp because time_stamp may overflow
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[4] training should include adjusting α, neuron membrane potential decay factor
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[5] training should include adjusting α, neuron membrane potential decay factor
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which defined by neuron.tau_m formula in type.jl
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[DONE] each knowledgeFn should have its own noise generater
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