Layer V PFC pyramidal neuron used to study persistent activity (Sidiropoulou & Poirazi 2012)

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"... Here, we use a compartmental modeling approach to search for discriminatory features in the properties of incoming stimuli to a PFC pyramidal neuron and/or its response that signal which of these stimuli will result in persistent activity emergence. Furthermore, we use our modeling approach to study cell-type specific differences in persistent activity properties, via implementing a regular spiking (RS) and an intrinsic bursting (IB) model neuron. ... Collectively, our results pinpoint to specific features of the neuronal response to a given stimulus that code for its ability to induce persistent activity and predict differential roles of RS and IB neurons in persistent activity expression. "
1 . Sidiropoulou K, Poirazi P (2012) Predictive features of persistent activity emergence in regular spiking and intrinsic bursting model neurons. PLoS Comput Biol 8:e1002489 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s): Neocortex V1 L6 pyramidal corticothalamic cell;
Channel(s): I Na,p; I Na,t; I L high threshold; I A; I K; I K,Ca; I CAN;
Gap Junctions:
Receptor(s): GabaA; GabaB; AMPA; NMDA; IP3;
Transmitter(s): Gaba; Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Activity Patterns; Detailed Neuronal Models;
Implementer(s): Sidiropoulou, Kyriaki [sidirop at];
Search NeuronDB for information about:  Neocortex V1 L6 pyramidal corticothalamic cell; GabaA; GabaB; AMPA; NMDA; IP3; I Na,p; I Na,t; I L high threshold; I A; I K; I K,Ca; I CAN; Gaba; Glutamate;
basic-graphics.hoc *
cut-sections.hoc *
ken.h *
map-segments-to-3d.hoc *
mod_func.c *
newshiftsyn *
newshiftsyn.c *
num-rec.h *
vector-distance.hoc *
verbose-system.hoc *

This file contains all Numerical Recipes that I use.


/********* Begin of Numerical Recipes routines **********/

#define M1 259200
#define IA1 7141
#define IC1 54773
#define RM1 (1.0/M1)
#define M2 134456
#define IA2 8121
#define IC2 28411
#define RM2 (1.0/M2)
#define M3 243000
#define IA3 4561
#define IC3 51349

 *  numerical recipes random gaussian number generator

float gasdev(idum)
     int *idum;
  static int iset=0;
  static float gset;
  float fac,r,v1,v2;
  float ran1();
  if  (iset == 0) {
    do {
    } while (r >= 1.0);
    return v2*fac;
  } else {
    return gset;

 *	gaussian - return a gaussian random number of
 *		   variance 1 and mean 0

float gaussian ()
	int seed = 0;

	return ( gasdev(&seed) );

 *  numerical recipes random number generator

float ran1(idum)
     int *idum;
  static long ix1,ix2,ix3;
  static float r[98];
  float temp;
  static int iff=0;
  int j;
  void nrerror();
  if (*idum < 0 || iff == 0) {
    ix1=(IC1-(*idum)) % M1;
    ix1=(IA1*ix1+IC1) % M1;
    ix2=ix1 % M2;
    ix1=(IA1*ix1+IC1) % M1;
    ix3=ix1 % M3;
    for (j=1;j<=97;j++) {
      ix1=(IA1*ix1+IC1) % M1;
      ix2=(IA2*ix2+IC2) % M2;
  ix1=(IA1*ix1+IC1) % M1;
  ix2=(IA2*ix2+IC2) % M2;
  ix3=(IA3*ix3+IC3) % M3;
  j=1 + ((97*ix3)/M3);
  if (j > 97 || j < 1) nrerror("RAN1: This cannot happen.");
  return temp;

 *  numerical recipes error routine

void nrerror(error_text)
     char error_text[];
  /*	void exit();
  fprintf(stderr,"Numerical Recipes run-time error...\n");
  fprintf(stderr," exiting to system...\n");

#undef M1
#undef IA1
#undef IC1
#undef RM1
#undef M2
#undef IA2
#undef IC2
#undef RM2
#undef M3
#undef IA3
#undef IC3

/********* End of Numerical Recipes routines **********/

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