Threshold Models

Ideal(vth::Real)

An ideal threshold spikes when v > vth.

evaluate!(threshold::Ideal, t::Real, v::Real; dt::Real = 1.0)
(threshold::Ideal)(t::Real, v::Real; dt::Real = 1.0)
evaluate!(thresholds::AbstractArray{<:Ideal}, t::Integer, v; dt::Real = 1.0)

Return t when v > threshold.vth.

Poisson(ρ₀::Real, Θ::Real, Δᵤ::Real, rng::AbstractRNG)

Choose to output a spike based on a inhomogenous Poisson process given by

$X < \mathrm{d}t \: \rho_0 \exp\left(\frac{v - \Theta}{\Delta_u}\right)$

where $X \sim \mathrm{Unif}([0, 1])$. Accordingly, dt must be set correctly so that the neuron does not always spike.

Fields:

• ρ₀::Real: baseline firing rate at threshold
• Θ::Real: firing threshold
• Δᵤ::Real: voltage resolution
• rng: random number generation

evaluate!(threshold::Poisson, t::Integer, v::Real; dt::Real = 1.0)
(::Poisson)(t::Integer, v::Real; dt::Real = 1.0)
evaluate!(thresholds::AbstractArray{<:Poisson}, t::Integer, v; dt::Real = 1.0)

Evaluate Poisson threshold function. See Threshold.Poisson.