TITLE Fluctuating conductances with parallel random streams
COMMENT
-----------------------------------------------------------------------------
Fluctuating conductance model for synaptic bombardment
adapted from Gfluct.mod -- see for full comments
ENDCOMMENT
: headers
NEURON {
POINT_PROCESS Gfluctp_old
THREADSAFE : only true if every instance has its own distinct Random
RANGE g_e, g_i, E_e, E_i, g_e0, g_i0, g_e1, g_i1, seed1, seed2, seed3
RANGE std_e, std_i, tau_e, tau_i, D_e, D_i
RANGE rv, id
NONSPECIFIC_CURRENT i
POINTER internalpointer
}
UNITS {
(nA) = (nanoamp)
(mV) = (millivolt)
(umho) = (micromho)
}
PARAMETER {
dt (ms)
E_e = 0 (mV) : reversal potential of excitatory conductance
E_i = -75 (mV) : reversal potential of inhibitory conductance
g_e0 = 0.0121 (umho) : average excitatory conductance
g_i0 = 0.0573 (umho) : average inhibitory conductance
std_e = 0.0030 (umho) : standard dev of excitatory conductance
std_i = 0.0066 (umho) : standard dev of inhibitory conductance
tau_e = 2.728 (ms) : time constant of excitatory conductance
tau_i = 10.49 (ms) : time constant of inhibitory conductance
seed1 = 1
seed2 = 1
seed3 = 1
}
ASSIGNED {
internalpointer
v (mV) : membrane voltage
i (nA) : fluctuating current
g_e (umho) : total excitatory conductance
g_i (umho) : total inhibitory conductance
g_e1 (umho) : fluctuating excitatory conductance
g_i1 (umho) : fluctuating inhibitory conductance
D_e (umho umho /ms) : excitatory diffusion coefficient
D_i (umho umho /ms) : inhibitory diffusion coefficient
exp_e
exp_i
amp_e (umho)
amp_i (umho)
rv
id
}
: some verbatim stuff
VERBATIM
#include "nrnran123.h"
ENDVERBATIM
: CONSTRUCTOR and INITIAL block
CONSTRUCTOR {
VERBATIM
id=ifarg(2)?(int)*getarg(2):17.2;
ENDVERBATIM
}
INITIAL {
VERBATIM
// only this style initializes the stream on finitialize
if (_p_internalpointer) { nrnran123_setseq((nrnran123_State*)_p_internalpointer, 0, 0); }
ENDVERBATIM
g_e1 = 0
g_i1 = 0
if(tau_e != 0) {
D_e = 2 * std_e * std_e / tau_e
exp_e = exp(-dt/tau_e)
amp_e = std_e * sqrt( (1-exp(-2*dt/tau_e)) )
}
if(tau_i != 0) {
D_i = 2 * std_i * std_i / tau_i
exp_i = exp(-dt/tau_i)
amp_i = std_i * sqrt( (1-exp(-2*dt/tau_i)) )
}
}
: BREAKPOINT
BREAKPOINT {
SOLVE oup
if(tau_e==0) {
g_e = std_e * rand()
}
if(tau_i==0) {
g_i = std_i * rand()
}
g_e = g_e0 + g_e1
if(g_e < 0) { g_e = 0 }
g_i = g_i0 + g_i1
if(g_i < 0) { g_i = 0 }
i = g_e * (v - E_e) + g_i * (v - E_i)
}
PROCEDURE oup() {
if(tau_e!=0) {
g_e1 = exp_e * g_e1 + amp_e * rand()
}
if(tau_i!=0) {
g_i1 = exp_i * g_i1 + amp_i * rand()
}
}
: FUNCTION rand()
FUNCTION rand () {
VERBATIM
// Supports separate independent but reproducible streams for eaach instance. However, the corresponding hoc Random distribution MUST be set to Random.negexp(1)
if (_p_internalpointer) {
// _lrand = nrnran123_negexp((nrnran123_State*)_p_internalpointer);
_lrand = nrnran123_normal((nrnran123_State*)_p_internalpointer);
}
ENDVERBATIM
}
: PROCEDURE noiseFromRandom123()
PROCEDURE noiseFromRandom123 () {
VERBATIM
nrnran123_State** pv = (nrnran123_State**)(&_p_internalpointer);
if (*pv) {
nrnran123_deletestream(*pv);
*pv = (nrnran123_State*)0;
}
if (ifarg(3)) {
*pv = nrnran123_newstream3((uint32_t)*getarg(1), (uint32_t)*getarg(2), (uint32_t)*getarg(3));
} else if (ifarg(2)) {
*pv = nrnran123_newstream((uint32_t)*getarg(1), (uint32_t)*getarg(2));
} else if (ifarg(1)) {
*pv = nrnran123_newstream((uint32_t)*getarg(1), (uint32_t)0);
} else {
*pv = nrnran123_newstream3((uint32_t)seed1, (uint32_t)seed2, (uint32_t)seed3);
}
ENDVERBATIM
}