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synapse equations...
Iisyn(t) = J[xi-1(t)+xi+1(t)]
KTz neuron parameters
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stimuli parameters
stimulus type:
Iext(t) = I ∑i=0(N-1)[(k)iδt,t0+iΔt]
Iext(t) = I ∑i=0(N-1)[(k)kδt,t0+kΔt]
Iext(t) = I ∑i=0(N-1)[(k)kδt,t0+kΔt]
Iext(t) = I cos(ωt - φ), ti ≤ t ≤ tf
Iext(t) = f(t)
f(t+1) = (1 - 1/τf)f(t) + g(t)
g(t+1) = (1 - 1/τg)g(t) + Jθ(x'(t))
Iext(t) = f(t)
f(t+1) = (1 - 1/τf)f(t) + g(t)
g(t+1) = (1 - 1/τg)g(t) + (J + ε(t))θ(x'(t))
0 ≤ ε(t) ≤ R
Iext(t) = a(t-t0) + I0; t0 ≤ t ≤ t1
Iext(t) = f(t)
f(t+1) = (1 - 1/τf)f(t) + g(t)
g(t+1) = (1 - 1/τg)g(t) + Jθ(x'(t))
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simulation parameters
equations...
x(t+1) = tanh((x(t) - Ky(t) + z(t) + H + Iext)/T)
y(t+1) = x(t)
z(t+1) = (1-δ)z(t) - λ(x(t) - xR)
x(t+1) = tanh((x(t) - Ky(t) + H + Iext)/T)
y(t+1) = x(t)
x(t+1) = tanh((x(t) - Ky(t) + Z + Iext)/T)
y(t+1) = tanh( (x(t)+H)/T )
x(t+1) = tanh((x(t) - Ky(t) + z(t) + Iext)/T)
y(t+1) = tanh( (x(t)+H)/T )
z(t+1) = (1-δ)z(t) - λ(x(t) - xR)
x(t+1) = f((x(t) - Ky(t) + z(t) + H + Iext)/T)
y(t+1) = x(t)
z(t+1) = (1-δ)z(t) - λ(x(t) - xR)
f(u) = u / (1+|u|)
x(t+1) = f((x(t) - Ky(t) + H + Iext)/T)
y(t+1) = x(t)
f(u) = u / (1+|u|)
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output data