S cell network (Moss et al 2005)

 Download zip file 
Help downloading and running models
Accession:53559
Excerpts from the abstract: S cells form a chain of electrically coupled neurons that extends the length of the leech CNS and plays a critical role in sensitization during whole-body shortening. ... Serotonin ... increasedAP latency across the electrical synapse, suggesting that serotonin reduced coupling between S cells. ... Serotonin modulated instantaneous AP frequency when APs were initiated in separate S cells and in a computational model of S cell activity following mechanosensory input. Thus, serotonergic modulation of S cell electrical synapses may contribute to changes in the pattern of activity in the S cell network. See paper for more.
Reference:
1 . Moss BL, Fuller AD, Sahley CL, Burrell BD (2005) Serotonin modulates axo-axonal coupling between neurons critical for learning in the leech. J Neurophysiol 94:2575-89 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Leech;
Cell Type(s): Leech S cell;
Channel(s): I Sodium; I Potassium;
Gap Junctions: Gap junctions;
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: SNNAP;
Model Concept(s): Activity Patterns; Invertebrate;
Implementer(s): Baxter, Douglas; Moss, Brenda [bmoss at usd.edu]; Byrne, John [john.h.byrne at uth.tmc.edu];
Search NeuronDB for information about:  I Sodium; I Potassium;
		>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
		>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
		>>    modules name: vdg		>>
		>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
		>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>

		>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
Ivd:		> 	Current due to a voltage-dependent conductance	>
		>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>

>------------------------------->--------------------------------------->
>				>		p			>
>	1			>	G= g x A x B 		(1)	>
>	model.A		>A<	>					>
>	model.B		>B<	>					>
>	123.0		>g<	>					>
>	1.0		>P<	>	Ivd = G x (V -E)		>
>	-0.0		>E<	>					>
>				>					>
>------------------------------->--------------------------------------->
>				>		p			>
>	2			>	Ivd= g x m x h 		(2)	>
>	model.m		>m<	>					>
>	model.h		>h<	>					>
>	0.00 		>g<	>					>
>	1 		>P<	>	Ivd = G x (V -E)		>
>	0		>E<	>					>
>				>					>
>------------------------------->--------------------------------------->
>				>		p			>
>	3			>	G= g x A		(3)	>
>	model.A		>A<	>					>
>	0.00 		>g<	>					>
>	1 		>P<	>	Ivd = G x (V -E)		>
>	0 		>E<	>					>
>				>					>
>------------------------------->--------------------------------------->
				>		p			>
	4			>	Ivd= g x m 		(4)	>
	Squid_K.m	>m<	>					>
	0.036		>36 g<	>					>
	4.0		>4 P<	>	Ivd = G x (V -E)		>
	-72.0		>-72 E<	>					>
				>					>
>------------------------------->--------------------------------------->
>				>					>
>	5			>	Ivd = G x (V -E)	(5)	>
>	0.00 		>g<	>					>
>	0 		>E<	>					>
>				>					>
>------------------------------->--------------------------------------->

END:

Loading data, please wait...