Enhanced Excitability in Hermissenda: modulation by 5-HT (Cai et al 2003)

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Accession:34163
Serotonin (5-HT) applied to the exposed but otherwise intact nervous system results in enhanced excitability of Hermissenda type-B photoreceptors. Several ion currents in the type-B photoreceptors are modulated by 5-HT, including the A-type K+ current (IK,A), sustained Ca2+ current (ICa,S), Ca-dependent K+ current (IK,Ca), and a hyperpolarization-activated inward rectifier current (Ih). In this study,we developed a computational model that reproduces physiological characteristics of type B photoreceptors, e.g. resting membrane potential, dark-adapted spike activity, spike width, and the amplitude difference between somatic and axonal spikes. We then used the model to investigate the contribution of different ion currents modulated by 5-HT to the magnitudes of enhanced excitability produced by 5-HT. See paper for results and more details.
Reference:
1 . Cai Y, Baxter DA, Crow T (2003) Computational study of enhanced excitability in Hermissenda: membrane conductances modulated by 5-HT. J Comput Neurosci 15:105-21 [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): Hermissenda photoreceptor Type B;
Channel(s): I Na,t; I L high threshold; I N; I A; I K; I h; I K,Ca; I Calcium; I A, slow;
Gap Junctions: Gap junctions;
Receptor(s):
Gene(s):
Transmitter(s): Serotonin;
Simulation Environment: SNNAP;
Model Concept(s): Activity Patterns; Action Potentials; Invertebrate;
Implementer(s): Cai, Yidao;
Search NeuronDB for information about:  I Na,t; I L high threshold; I N; I A; I K; I h; I K,Ca; I Calcium; I A, slow; Serotonin;
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Cai
readme.txt
00note.txt
axona.neu
axona2axonb.es
axonb.neu
axonb2axonc.es
axonc.neu
axonc2term.es
bph.ntw
bph.ntw_genp
bph.ous
bph.ous_bak
bph.ous_genp
bph.ous_mod
bph.ous_Ri
bph.ous_sp
bph.ous_vclamp
bph.ous2
bph.ous3
bph.ous4
bph.smu
bph.trt
bph.trt_casmod
bph.trt_Drmod
bph.trt_Iamod
bph.trt_Ihmod
bph.trt_Ikcamod
bph.trt_light
bph.trt_mixmod
bph.trt_Ri
bph.trt_std
bph.trt_vclamp
bph.trt0
bph_casmod.smu
bph_Drmod.smu
bph_genp.smu
bph_Iamod.smu
bph_Ihmod.smu
bph_Ikcamod.smu
bph_mixmod.smu
bph_Ri.smu
bph_stdmod.smu
ca.A
ca.B
Ca.ion
ca.vdg *
Ca2Ikca.fBR
cat.A
cat.B
cat.vdg
design.txt
Dr.A
Dr.B
Dr.vdg
exp.es
exp1.fnc
exp2.fnc
exp3.fnc
grf.def
Ia.A
Ia.A_bak
Ia.B
Ia.vdg
Ikca.A
Ikca.B
Ikca.vdg *
Ir.A
Ir.vdg
leak.vdg
mv.neu
mv2soma.es
mvleak.vdg
Na.A
Na.B *
Na.vdg
ousgrf.def
simufiles.usd
soma.neu
soma2axona.es
tCa.ion
tca.vdg *
tCa2Ikca.fBR
tcat.vdg *
tDr.vdg
term.neu
term.neu_bak
tIa.vdg
tIkca.vdg *
tIr.vdg
tleak.vdg
tmp.1
tmp.ps
tNa.A
tNa.B
tNa.vdg
treatment.fnc
xaleak.vdg
xbCa.ion *
xbca.vdg *
xbCa2Ikca.fBR
xbcat.vdg *
xbDr.vdg *
xbIa.vdg *
xbIkca.vdg *
xbIr.vdg
xbleak.vdg
xbNa.A *
xbNa.B *
xbNa.vdg *
xcCa.ion *
xcca.vdg *
xcCa2Ikca.fBR
xccat.vdg *
xcDr.vdg *
xcIa.vdg *
xcIkca.vdg *
xcIr.vdg
xcleak.vdg
xcNa.A *
xcNa.B *
xcNa.vdg *
                            
>------------------------------->--------------------------------------->
  VAR_TO_GRAPH: 		>	List of current contributing	>
				>		to ion pools		>
>------------------------------->--------------------------------------->
	GRPH_CHNL:		>	Graph channel			>
>------------------------------->--------------------------------------->
	2			>	GAIN of Channel			>
	time<{ivr}            	>	Var Name for X-axis		>
		12          	>	Number of Tic Marks		>
		0.0         	>	Min Value of X			>
		24.0        	>	Max Value of X			>
		black        	>	Color of Range			>
Cion[Ca.axonb...]<{ivr}       	>	Var Name for Y-axis		>
		5           	>	Number of Tic Marks		>
		0.0         	>	Min Value of Y			>
		200.0       	>	Max Value of Y			>
		violet        	>	Color of RAnge			>
	V[axonb....]<{ivr}    	>	Var Name for Y-axis		>
		5           	>	Number of Tic Marks		>
		-140.0      	>	Min Value of Y			>
		20.0        	>	Max Value of Y			>
		black         	>	Color of RAnge			>
	V[soma....]<{ivr}     	>	Var Name for Y-axis		>
		5           	>	Number of Tic Marks		>
		-60.0       	>	Min Value of Y			>
		100.0       	>	Max Value of Y			>
		red           	>	Color of RAnge			>
>------------------------------->--------------------------------------->
	GRPH_CHNL:		>	Graph channel			>
>------------------------------->--------------------------------------->
	2			>	GAIN of Channel			>
	time<{ivr}            	>	Var Name for X-axis		>
		12          	>	Number of Tic Marks		>
		0.0         	>	Min Value of X			>
		24.0        	>	Max Value of X			>
		black        	>	Color of Range			>
IVDxREG[Ikca.soma...]<{ivr}   	>	Var Name for Y-axis		>
		4           	>	Number of Tic Marks		>
		-2.0        	>	Min Value of Y			>
		2.0         	>	Max Value of Y			>
		green         	>	Color of RAnge			>
Ivd[delayed.soma...]<{ivr}    	>	Var Name for Y-axis		>
		2           	>	Number of Tic Marks		>
		-1.0        	>	Min Value of Y			>
		3.0         	>	Max Value of Y			>
		black         	>	Color of RAnge			>
	Ivd[A.soma...]<{ivr}  	>	Var Name for Y-axis		>
		2           	>	Number of Tic Marks		>
		-2.0        	>	Min Value of Y			>
		2.0         	>	Max Value of Y			>
		red           	>	Color of RAnge			>
>------------------------------->--------------------------------------->
	GRPH_CHNL:		>	Graph channel			>
>------------------------------->--------------------------------------->
	2			>	GAIN of Channel			>
	time<{ivr}            	>	Var Name for X-axis		>
		12          	>	Number of Tic Marks		>
		0.0         	>	Min Value of X			>
		24.0        	>	Max Value of X			>
		black        	>	Color of Range			>
Ivd[sustained.soma...]<{ivr}  	>	Var Name for Y-axis		>
		5           	>	Number of Tic Marks		>
		-1.0        	>	Min Value of Y			>
		1.0         	>	Max Value of Y			>
		green         	>	Color of RAnge			>
Ivd[Transient.soma...]<{ivr}  	>	Var Name for Y-axis		>
		5           	>	Number of Tic Marks		>
		-2.0        	>	Min Value of Y			>
		2.0         	>	Max Value of Y			>
		magenta       	>	Color of RAnge			>
	Ivd[Na.axonb...]<{ivr}	>	Var Name for Y-axis		>
		2           	>	Number of Tic Marks		>
		-2.0        	>	Min Value of Y			>
		2.0         	>	Max Value of Y			>
		gold          	>	Color of RAnge			>
>------------------------------->--------------------------------------->
	GRPH_CHNL:		>	Graph channel			>
>------------------------------->--------------------------------------->
	2			>	GAIN of Channel			>
	time<{ivr}            	>	Var Name for X-axis		>
		12          	>	Number of Tic Marks		>
		0.0         	>	Min Value of X			>
		24.0        	>	Max Value of X			>
		black        	>	Color of Range			>
Ivd[delayed.axonb...]<{ivr}   	>	Var Name for Y-axis		>
		2           	>	Number of Tic Marks		>
		-1.0        	>	Min Value of Y			>
		1.0         	>	Max Value of Y			>
		black         	>	Color of RAnge			>
	Ivd[IR.soma...]<{ivr} 	>	Var Name for Y-axis		>
		2           	>	Number of Tic Marks		>
		-2.0        	>	Min Value of Y			>
		2.0         	>	Max Value of Y			>
		red           	>	Color of RAnge			>
fbr[Ikca.Ca.axonb..]<{ivr}    	>	Var Name for Y-axis		>
		1           	>	Number of Tic Marks		>
		0.0         	>	Min Value of Y			>
		0.5         	>	Max Value of Y			>
		green         	>	Color of RAnge			>
>------------------------------->--------------------------------------->
	END:			>					>
>------------------------------->--------------------------------------->

>------------------------------->--------------------------------------->
   VAR_TO_FILE: 		>	List of current contributing	>
>				>		to ion pools		>
>------------------------------->--------------------------------------->
	time<{ivr}             	>	VAR name			>
	V[axonb....]<{ivr}     	>	VAR name			>
	V[soma....]<{svr}      	>	VAR name			>
>Cion[Ca.axonb...]<{ivr}       	>	Var Name for Y-axis		>
Ivd[Na.axonb...]<{ivr}    	>	Var Name for Y-axis		>
	Ivd[A.axonb...]<{ivr}  	>	Var Name for Y-axis		>
Ivd[sustained.axonb...]<{ivr}  	>	Var Name for Y-axis		>
Ivd[Transient.axonb...]<{ivr}  	>	Var Name for Y-axis		>
Ivd[IR.axonb...]<{ivr} 	>	Var Name for Y-axis		>
Ivd[delayed.axonb...]<{ivr}   	>	Var Name for Y-axis		>
fbr[Ikca.Ca.axonb..]<{ivr}    	>	Var Name for Y-axis		>
IVDxREG[Ikca.axonb...]<{ivr}   	>	Var Name for Y-axis		>
>	V[mv....]<{svr}      	>	VAR name			>
>------------------------------->--------------------------------------->
	END:			>					>
>------------------------------->--------------------------------------->

END:

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