: based on Exp2Syn
: PARAMETERs sid and cid are used to manage and decipher network architecture
COMMENT
Two state kinetic scheme synapse described by rise time tau1,
and decay time constant tau2. The normalized peak condunductance is 1.
Decay time MUST be greater than rise time.
The solution of A>G>bath with rate constants 1/tau1 and 1/tau2 is
A = a*exp(t/tau1) and
G = a*tau2/(tau2tau1)*(exp(t/tau1) + exp(t/tau2))
where tau1 < tau2
If tau2tau1 > 0 then we have a alphasynapse.
and if tau1 > 0 then we have just single exponential decay.
The factor is evaluated in the
initial block such that an event of weight 1 generates a
peak conductance of 1.
Because the solution is a sum of exponentials, the
coupled equations can be solved as a pair of independent equations
by the more efficient cnexp method.
ENDCOMMENT
NEURON {
: POINT_PROCESS Exp2Syn
POINT_PROCESS Exp2Sid
RANGE tau1, tau2, e, i, sid, cid
NONSPECIFIC_CURRENT i
RANGE g
GLOBAL total
}
UNITS {
(nA) = (nanoamp)
(mV) = (millivolt)
(uS) = (microsiemens)
}
PARAMETER {
tau1=.1 (ms) <1e9,1e9>
tau2 = 10 (ms) <1e9,1e9>
e=0 (mV)
: following are used to help decipher and manage network architecture
sid = 1 (1) : synapse id, from cell template
cid = 1 (1) : id of cell to which this synapse is attached
: in parallel context this value should be assigned the cell's gid
}
ASSIGNED {
v (mV)
i (nA)
g (uS)
factor
total (uS)
}
STATE {
A (uS)
B (uS)
}
INITIAL {
LOCAL tp
total = 0
if (tau1/tau2 > .9999) {
tau1 = .9999*tau2
}
A = 0
B = 0
tp = (tau1*tau2)/(tau2  tau1) * log(tau2/tau1)
factor = exp(tp/tau1) + exp(tp/tau2)
factor = 1/factor
}
BREAKPOINT {
SOLVE state METHOD cnexp
g = B  A
i = g*(v  e)
}
DERIVATIVE state {
A' = A/tau1
B' = B/tau2
}
NET_RECEIVE(weight (uS)) {
state_discontinuity(A, A + weight*factor)
state_discontinuity(B, B + weight*factor)
total = total+weight
}
