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refractoring

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tonaerospace
2023-05-17 14:28:43 +07:00
parent df26a01929
commit 214466d9e9
5 changed files with 36 additions and 53 deletions
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13
src/types.jl
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@@ -310,9 +310,8 @@ Base.@kwdef mutable struct lif_neuron <: compute_neuron
subExInType::Array{Int64} = Vector{Int64}() # store ExIn type of subscribed neurons
timeStep::Number = 0.0 # current time
wRec::Union{Array{Float64},Nothing} = nothing # synaptic weight (for receiving signal from other neuron)
v_t::Float64 = rand() # vᵗ, postsynaptic neuron membrane potential of previous timestep
v_t::Float64 = 0.0 # vᵗ, postsynaptic neuron membrane potential of previous timestep
v_t1::Float64 = rand() # vᵗ⁺¹, postsynaptic neuron membrane potential at current timestep
v_t_default::Union{Float64,Nothing} = 0.0 # default membrane potential voltage
v_th::Float64 = 1.0 # vᵗʰ, neuron firing threshold
vRest::Float64 = 0.0 # resting potential after neuron fired
z_t::Bool = false # zᵗ, neuron postsynaptic firing of previous timestep
@@ -403,9 +402,8 @@ Base.@kwdef mutable struct alif_neuron <: compute_neuron
subExInType::Array{Int64} = Vector{Int64}() # store ExIn type of subscribed neurons
timeStep::Union{Number,Nothing} = nothing # current time
wRec::Union{Array{Float64},Nothing} = nothing # synaptic weight (for receiving signal from other neuron)
v_t::Float64 = rand() # vᵗ, postsynaptic neuron membrane potential of previous timestep
v_t::Float64 = 0.0 # vᵗ, postsynaptic neuron membrane potential of previous timestep
v_t1::Float64 = rand() # vᵗ⁺¹, postsynaptic neuron membrane potential at current timestep
v_t_default::Union{Float64,Nothing} = 0.0
v_th::Float64 = 1.0 # vᵗʰ, neuron firing threshold
vRest::Float64 = 0.0 # resting potential after neuron fired
z_t::Bool = false # zᵗ, neuron postsynaptic firing of previous timestep
@@ -508,14 +506,13 @@ Base.@kwdef mutable struct linear_neuron <: output_neuron
knowledgeFnName::Union{String,Nothing} = nothing # knowledgeFn that this neuron belongs to
subscriptionList::Union{Array{Int64},Nothing} = nothing # list of other neuron that this neuron synapse subscribed to
timeStep::Union{Number,Nothing} = nothing # current time
subExInType::Array{Int64} = Vector{Int64}() # store ExIn type of subscribed neurons
subExInType::Array{Int64} = Vector{Int64}() # store ExIn type of subscribed neurons
wRec::Union{Array{Float64},Nothing} = nothing # synaptic weight (for receiving signal from other neuron)
v_t::Float64 = 0.0 # vᵗ, postsynaptic neuron membrane potential of previous timestep
v_t1::Float64 = rand() # vᵗ⁺¹, postsynaptic neuron membrane potential at current timestep
v_t_default::Union{Float64,Nothing} = 0.0 # default membrane potential voltage
v_t1::Float64 = rand() # vᵗ⁺¹, postsynaptic neuron membrane potential at current timestep
v_th::Float64 = 1.0 # vᵗʰ, neuron firing threshold
vRest::Float64 = 0.0 # resting potential after neuron fired
z_t::Bool = false # zᵗ, neuron postsynaptic firing of previous timestep
# zᵗ⁺¹, neuron firing status at time = t+1. I need this because the way I calculate all
# neurons forward function at each timestep-by-timestep is to do every neuron
# forward calculation. Each neuron requires access to other neuron's firing status