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experimenting compute neuron association

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tonaerospace
2023-05-25 21:23:43 +07:00
parent d12ba02efd
commit 3556167591
5 changed files with 60 additions and 37 deletions
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9
src/types.jl
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@@ -115,6 +115,9 @@ Base.@kwdef mutable struct kfn_1 <: knowledgeFn
nInhabitory::Array{Int64} = Int64[] # list of inhabitory neuron id
nExInType::Array{Int64} = Int64[] # list all neuron EX or IN
excitatoryPercent::Int64 = 60 # percentage of excitatory neuron, inhabitory percent will be 100-ExcitatoryPercent
exSignalSum = 0
inSignalsum = 0
end
#------------------------------------------------------------------------------------------------100
@@ -347,7 +350,7 @@ Base.@kwdef mutable struct lifNeuron <: computeNeuron
refractoryDuration::Int64 = 3 # neuron's refratory period in millisecond
refractoryCounter::Int64 = 0
tau_m::Float64 = 0.0 # τ_m, membrane time constant in millisecond
eta::Float64 = 0.01 # η, learning rate
eta::Float64 = 0.0001 # η, learning rate
wRecChange::Array{Float64} = Float64[] # Δw_rec, cumulated wRec change
recSignal::Float64 = 0.0 # incoming recurrent signal
alpha_v_t::Float64 = 0.0 # alpha * v_t
@@ -435,7 +438,7 @@ Base.@kwdef mutable struct alifNeuron <: computeNeuron
eRec_v::Array{Float64} = Float64[] # a component of neuron's eligibility trace resulted from v_t
eRec_a::Array{Float64} = Float64[] # a component of neuron's eligibility trace resulted from av_th
eRec::Array{Float64} = Float64[] # neuron's eligibility trace
eta::Float64 = 0.01 # eta, learning rate
eta::Float64 = 0.0001 # eta, learning rate
gammaPd::Float64 = 0.3 # γ_pd, discount factor, value from paper
phi::Float64 = 0.0 # ϕ, psuedo derivative
refractoryDuration::Int64 = 3 # neuron's refractory period in millisecond
@@ -545,7 +548,7 @@ Base.@kwdef mutable struct linearNeuron <: outputNeuron
refractoryDuration::Int64 = 3 # neuron's refratory period in millisecond
refractoryCounter::Int64 = 0
tau_out::Float64 = 0.0 # τ_out, membrane time constant in millisecond
eta::Float64 = 0.01 # η, learning rate
eta::Float64 = 0.0001 # η, learning rate
wRecChange::Array{Float64} = Float64[] # Δw_rec, cumulated wRec change
recSignal::Float64 = 0.0 # incoming recurrent signal
alpha_v_t::Float64 = 0.0 # alpha * v_t