A computational model of oxytocin modulation of olfactory recognition memory (Linster & Kelsch 2019)

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Accession:257940
Model of olfactory bulb (OB) and anterior olfactory nucleus (AON) pyramidal cells. Includes olfactory sensory neurons, mitral cells, periglomerular, external tufted and granule interneurons and pyramidal cells. Can be built to include a feedback loop between OB and AON. Output consists of voltage and spikes over time in all neurons. Model can be stimulated with simulated odorants. The code submitted here has served for a number of modeling explorations of olfactory bulb and cortex. The model architecture is defined in "bulb.dat" with synapses defined in "channels.dat". The main function to run the model can be found in "neuron.c". Model architecture is constructed in "set.c" from types defined in "sim.c". A make file to create an executable is located in "neuron.mak".
Reference:
1 . Linster C, Kelsch W (2019) A computational model of oxytocin modulation of olfactory recognition memory. eNeuro [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Olfactory bulb;
Cell Type(s): Olfactory bulb main mitral GLU cell; Olfactory bulb main interneuron periglomerular GABA cell; Olfactory bulb main interneuron granule MC GABA cell; Olfactory bulb main interneuron granule TC GABA cell; Olfactory bulb main tufted cell external;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: C or C++ program;
Model Concept(s):
Implementer(s): Linster, Christiane [cl243 at cornell.edu];
Search NeuronDB for information about:  Olfactory bulb main mitral GLU cell; Olfactory bulb main interneuron periglomerular GABA cell; Olfactory bulb main interneuron granule MC GABA cell; Olfactory bulb main interneuron granule TC GABA cell;
#include "gra.init"


void CURVE (x0, y0, xmul, ymul, steps, data)
int x0, y0, xmul, ymul, steps;
float *data;
{
int	x1, x2, y1, y2;
int	step;
	for (step = 0; step < steps; step++)
		{
		x1 = x0 + xmul * step;
		y1 = y0 - ymul * data[step];
		x2 = x0 + xmul * (step + 1);
		y2 = y0 - ymul * data[step+1];
		LINE (x1, y1, x2, y2);
		}
}

void SPIKES (x0, y0, xmul, ymul, steps, data)
int	x0, y0, xmul, ymul, steps;
float	*data;
{
int	x1, y1; 
int	step;
	for (step = 0; step < steps; step++)
		{
		x1 = x0 + xmul * step;
		y1 = y0 - ymul * data[step];
		LINE (x1, y0, x1, y1);
		}
}


void DOTS (x0, y0, xmul, ymul, steps, data)
     int x0, y0, xmul, ymul, steps;
     float *data;
{
  int x1, y1; 
  int step;
  for (step = 0; step < steps; step)
    {
      x1 = x0+xmul*step;
      if (data[step] > 0.0)
	CIRCLE (x0, y0, (int) floor (xmul/5));
    }
}
void ACTIVITY (x0, y0, xmul, ymul, ymul2, steps, data1, data2)
int 		steps;
int 		x0, y0, xmul, ymul, ymul2;   
float		*data1, *data2;
{
int		step; 
int 		x1, y1, x2, y2, y3;
 	for (step = 0; step < steps; step++)
		{
		x1 = x0 + xmul * step;
		y1 = y0 - ymul * data1[step];
		x2 = x0 + xmul * (step+1);
		y2 = y0 - ymul * data1[step+1]-ymul2*data2[step+1];    
		y3 = y1 - ymul2 * data2[step];
		LINE (x1, y1, x2, y2);
		/*LINE (x1, y1, x1, y3);*/
		}
/*	AXIS (x0, y0, xmul, 1, steps, 100);*/
}

void AXIS (x0, y0, xmul, hight, steps, ech)
 int 	x0, y0, hight;
int 	steps, ech;
{
char chain[2];
int index;          
int help;
	help = 0;
	LINE (x0, y0, (x0 + xmul* steps), y0); 
	LINE (x0, y0 + hight, x0, (y0 - hight)); 
	for (index = 0; index < steps; ++index)
		if (index == help)
	           	{ 
			LINE ((x0 + xmul * index), y0, (x0 + xmul * index), y0 - 3);
			help = help + ech;    
 			}   
} 





void SEQUENCE (x0, y0, x_mul,y_mul,steps, points) 
short int       x0, y0, steps, x_mul,y_mul; 
float           *points;
                {
short  int      x1, x2, y1, y2; 
int             step;
	for (step = 0; step < steps; step++)
		{   
		x1 = x0 + x_mul * step;
		y1 = y0 - y_mul * points[step]; 
		x2 = x0 + x_mul * (step + 1);
		y2 = y0 - y_mul * points[step + 1];  
		LINE (x1, y1, x2, y1);
		LINE (x2, y1, x2, y2);  
		}
}














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