Gamma genesis in the basolateral amygdala (Feng et al 2019)

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Accession:247968
Using in vitro and in vivo data we develop the first large-scale biophysically and anatomically realistic model of the basolateral amygdala nucleus (BL), which reproduces the dynamics of the in vivo local field potential (LFP). Significantly, it predicts that BL intrinsically generates the transient gamma oscillations observed in vivo. The model permitted exploration of the poorly understood synaptic mechanisms underlying gamma genesis in BL, and the model's ability to compute LFPs at arbitrary numbers of recording sites provided insights into the characteristics of the spatial properties of gamma bursts. Furthermore, we show how gamma synchronizes principal cells to overcome their low firing rates while simultaneously promoting competition, potentially impacting their afferent selectivity and efferent drive, and thus emotional behavior.
Reference:
1 . Feng F, Headley DB , Amir A, Kanta V, Chen Z, Pare D, Nair S (2019) Gamma oscillations in the basolateral amygdala: biophysical mechanisms and computational consequences eNeuro
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network; Extracellular; Synapse; Dendrite; Neuron or other electrically excitable cell;
Brain Region(s)/Organism: Amygdala;
Cell Type(s): Hodgkin-Huxley neuron;
Channel(s): I Na,t; I L high threshold; I A; I M; I Sodium; I Calcium; I Potassium; I_AHP; Ca pump; I h; I Na,p; I K;
Gap Junctions: Gap junctions;
Receptor(s): AMPA; NMDA; Gaba; Dopaminergic Receptor;
Gene(s):
Transmitter(s): Dopamine; Norephinephrine;
Simulation Environment: NEURON;
Model Concept(s): Oscillations; Gamma oscillations; Short-term Synaptic Plasticity;
Implementer(s): Feng, Feng [ffvxb at mail.missouri.edu];
Search NeuronDB for information about:  AMPA; NMDA; Gaba; Dopaminergic Receptor; I Na,p; I Na,t; I L high threshold; I A; I K; I M; I h; I Sodium; I Calcium; I Potassium; I_AHP; Ca pump; Dopamine; Norephinephrine;
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FengEtAl2019
input
LFPs
volts
readme.txt
bg2pyr.mod
ca.mod *
cadyn.mod *
cal2.mod *
capool.mod
function_TMonitor.mod *
gap.mod *
Gfluct_new_exc.mod
Gfluct_new_inh.mod
h.mod *
halfgap.mod
im.mod *
interD2interD_STFD_new.mod
interD2pyrD_STFD_new.mod
kadist.mod
kaprox.mod *
kdrca1.mod *
kdrca1DA.mod *
kdrinter.mod *
leak.mod *
leakDA.mod *
leakinter.mod *
na3.mod *
na3DA.mod *
nainter.mod *
nap.mod *
nat.mod *
pyrD2interD_STFD.mod
pyrD2pyrD_STFD_new.mod
sahp.mod *
sahpNE.mod *
vecevent.mod
xtra.mod
xtra_imemrec.mod
BL_main.hoc
BLcells_template_LFP_segconsider_all_Iinject_recordingimembrane.hoc
function_calcconduc.hoc
function_ConnectInputs_invivo_op.hoc
function_ConnectInternal_gj_simplify.hoc
function_ConnectInternal_simplify_online_op.hoc
function_ConnectTwoCells.hoc
function_LoadMatrix.hoc
function_NetStimOR.hoc *
function_TimeMonitor.hoc *
interneuron_template_gj_LFP_Iinject_recordingimembrane.hoc
                            
//By Pirate Henry 2011 and modified by DK



proc ConnectTwoCells() { local targetid,sourceid,type,initW,delay,threshold localobj target,syn,nc,synlist,nclist

	sourceid = $1
	targetid = $2
	type = $3
	initW = $4
	delay = $5
//	threshold = $6
	synlist = $o6  //$o7
	nclist = $o7   //$o8

	if (!pc.gid_exists(targetid)) { continue }				// Can't connect to target if it doesn't exist 
		target = pc.gid2cell(targetid)
	           if (type == 1) {target.dend syn = new pyrD2pyrD_STFD(0.9)}   //P2P connection		 0.9 is original syn pos	                                  
											 
																   
   			    if (type == 2) {target.dend syn = new pyrD2interD_STFD(0.9)}  //P2I connection    0.9 is original syn pos
				                                     
				 
                if (type == 3) {target.soma syn = new interD2pyrD_STFD(0.9)}  //I2P connection   0.9 is original syn pos
														 
				if (type == 4) {target.soma syn = new interD2interD_STFD(0.9)}  //I2I connection    0.9 is original syn pos

				syn.pregid = sourceid
		syn.postgid = targetid
		syn.initW = initW
		target.synlist.append(syn)   // To save synapse data, weight and ca+ concentration
		syn.srcid= sourceid
		syn.destid= targetid
		nc = pc.gid_connect(sourceid,syn)
		nc.weight = 1
		nc.delay = delay
		nc.threshold = -10
		//printf("%d %d %d %d %d %d\n" ,syn.postgid,syn.pregid, syn.initW, nc.delay, nc.threshold, type)	     
		//saveM.printf("%d %d %f %f %d %d\n",syn.postgid, syn.pregid, syn.initW, nc.delay, nc.threshold, type) ///for printing out internal synaptic parameters into a file
        //saveM.close()		
		synlist.append(syn)
		nclist.append(nc)
		//{pc.barrier()}	

}


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