Rhesus Monkey Layer 3 Pyramidal Neurons: V1 vs PFC (Amatrudo, Weaver et al. 2012)

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Accession:144553
Whole-cell patch-clamp recordings and high-resolution 3D morphometric analyses of layer 3 pyramidal neurons in in vitro slices of monkey primary visual cortex (V1) and dorsolateral granular prefrontal cortex (dlPFC) revealed that neurons in these two brain areas possess highly distinctive structural and functional properties. ... Three-dimensional reconstructions of V1 and dlPFC neurons were incorporated into computational models containing Hodgkin-Huxley and AMPA- and GABAA-receptor gated channels. Morphology alone largely accounted for observed passive physiological properties, but led to AP firing rates that differed more than observed empirically, and to synaptic responses that opposed empirical results. Accordingly, modeling predicts that active channel conductances differ between V1 and dlPFC neurons. The unique features of V1 and dlPFC neurons are likely fundamental determinants of area-specific network behavior. The compact electrotonic arbor and increased excitability of V1 neurons support the rapid signal integration required for early processing of visual information. The greater connectivity and dendritic complexity of dlPFC neurons likely support higher level cognitive functions including working memory and planning.
Reference:
1 . Amatrudo JM, Weaver CM, Crimins JL, Hof PR, Rosene DL, Luebke JI (2012) Influence of highly distinctive structural properties on the excitability of pyramidal neurons in monkey visual and prefrontal cortices. J Neurosci 32:13644-60 [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: Neocortex; Prefrontal cortex (PFC);
Cell Type(s): Neocortex L2/3 pyramidal GLU cell;
Channel(s): I N; I K;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Activity Patterns; Influence of Dendritic Geometry; Detailed Neuronal Models; Electrotonus; Conductance distributions; Vision;
Implementer(s): Weaver, Christina [christina.weaver at fandm.edu];
Search NeuronDB for information about:  Neocortex L2/3 pyramidal GLU cell; I N; I K;
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V1_PFC_ModelDB
README
kvz_nature.mod *
naz_nature.mod *
vsource.mod *
actionPotentialPlayer.hoc *
add_axon.hoc
analyticFunctions.hoc *
analyze_EPSC.m
aux_procs.hoc
batchrun.hoc
custominit.hoc
define_PFC.hoc
electro_procs.hoc *
figOptions.hoc
fixnseg.hoc *
init_model.hoc
init_PFC.hoc
Jul16IR3f_fromSWCthenManual_Nov22-11.hoc
load_scripts.hoc *
main_fig10_pfc.hoc
main_fig10_v1baseline.hoc
main_fig10_v1tuned.hoc
main_fig9_pfcElec.hoc
main_fig9_v1Elec.hoc
main_PFC-ApBas_fig11epsc.hoc
main_PFC-ApBas_fig12ipsc.hoc
main_V1-ApBas_fig11epsc.hoc
main_V1-ApBas_fig12ipsc.hoc
May3IR2t_ImportFromSWCthenManual_Aug19-11.hoc
measureMeanAtten.hoc
mosinit.hoc
PFC-V1_AddSynapses.hoc
plot_seClamp_i.ses
plot_seClamp_IPSC.ses
read_EPSCsims_mdb.m
read_IPSCsims_mdb.m
readcell.hoc
readNRNbin_Vclamp.m
rigPFCmod.ses
synTweak.hoc
vsrc.ses
                            
/*** 
	to connect axon, based on Mainen et al. 1995.  Copied from parse.hoc in Vetter
	et al (2001)'s "Dendritica" (dendritica-1.0/batch_back/back/parse.hoc)
	
	Christina Weaver, August 2011
	
***/

n_axon_seg  	= 5		/* # nodes in synthetic axon */
create iseg, hill, myelin[n_axon_seg], node[n_axon_seg]



/*************************************************************************/

objref axExcit, axSame
proc connect_axon() { 	local a,i		// cmw Aug '11:  deleted local var 'n'  

	/* Create axon  (similar to Mainen et al (Neuron, 1995) */
		
	create iseg
	create node[n_axon_seg] 
	create hill
	create myelin[n_axon_seg]


	a = 0
	soma {
	    for(x) 		  a += area(x) 
		equiv_diam = sqrt(a/(4*PI))
	  	//	if (swc)  equiv_diam = equivdiam /*DukeSouth*/
    }

	for i=0,n_axon_seg-1 {		
  	  	iseg          { L=15  nseg=5  diam=equiv_diam/10 } /*Sloper&Powell 1982,Fig.71*/
  	  	myelin[i]     { L=100 nseg=5  diam=iseg.diam  }
    	node[i]       { L=1.0 nseg=1  diam=iseg.diam*.75 }
    } 
	hill          { L=10  nseg=5  diam(0:1)=4*iseg.diam:iseg.diam }

	soma      	connect hill(0), 0.5
	hill          	connect iseg(0), 1
	iseg       	connect myelin[0](0), 1
	myelin[0]  	connect node[0](0), 1
	for i=0,n_axon_seg-2  { 
		node[i]	connect myelin[i+1](0),1
		myelin[i+1] 	connect node[i+1](0),1 
	}
	
	axExcit = new SectionList()
	axSame  = new SectionList()
	hill axExcit.append()
	iseg axExcit.append()
	forsec "myelin" axSame.append()
	
	Axon = 1

}


proc add_axon() { 
		connect_axon()
		//origin.sec  distance(0,originx)	// cmw Aug '11:  not needed
		insert_channels()
		reset()
		Axon = 1
		define_shape()
}


/*************************************************************************/

proc remove_axon() {

		forsec "iseg" delete_section()  // take out axon 9.2.99
		forsec "hill" delete_section()
		forsec "myelin" delete_section()
		//forsec "node" delete_section() not the node - used for calcs

		//origin.sec distance(0,originx)	// cmw Aug '11:  not needed
		Axon = 0	
		define_shape()
		}


/*************************************************************************/


proc insert_channels() {	/* insert channels and set reversal potentials */


		forall {				
			insert pas  /* generic conductance with reverse potential */
 			//insert pk   /* backpropagaton tools */
			insert na  
			insert kv
		}

		// Vetter et al allowed the option to include Q, Ca, KCa, KM currents here.  
		// cmw:  DELETED Aug '11

		forsec "myelin" uninsert kv /* no delayed rectifiers in myelin */

		/* set reversal potentials */
		forall 				e_pas     = -70
		forall if(ismembrane("k_ion"))  ek  	  = Ek
		forall if(ismembrane("na_ion")) ena	  = Ena 
		forall if(ismembrane("na_ion"))	vshift_na = -5  
		forall if(ismembrane("ca_ion")) { eca     = 140   
  			     			  ion_style("ca_ion",0,1,0,0,0)
  			     			  vshift_ca = 0		          
  		}
}



proc insert_passive() {	/* insert channels and set reversal potentials */


		forall {				
			insert pas  /* generic conductance with reverse potential */
		}

		/* set reversal potentials */
		forall 				e_pas     = -70
}

/*************************************************************************/



proc add_passive_axon() { 
		connect_axon()
		//origin.sec  distance(0,originx)	// cmw Aug '11:  not needed
		insert_passive()
		passive_set()
		Axon = 1
		define_shape()
}

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