Model of the cerebellar granular network (Sudhakar et al 2017)

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"The granular layer, which mainly consists of granule and Golgi cells, is the first stage of the cerebellar cortex and processes spatiotemporal information transmitted by mossy fiber inputs with a wide variety of firing patterns. To study its dynamics at multiple time scales in response to inputs approximating real spatiotemporal patterns, we constructed a large-scale 3D network model of the granular layer. ..."
1 . Sudhakar SK, Hong S, Raikov I, Publio R, Lang C, Close T, Guo D, Negrello M, De Schutter E (2017) Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer. PLoS Comput Biol 13:e1005754 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Cerebellum;
Cell Type(s): Cerebellum golgi cell;
Channel(s): I A; I Calcium; I K; I K,Ca; I Na,t; I h; I Na,p; I T low threshold;
Gap Junctions: Gap junctions;
Receptor(s): AMPA; NMDA; Gaba;
Transmitter(s): Glutamate; Gaba;
Simulation Environment: NEURON;
Model Concept(s): Spatio-temporal Activity Patterns; Oscillations; Synchronization; Winner-take-all;
Implementer(s): Hong, Sungho [shhong at]; Guo, Daqing [dqguo at]; Raikov, Ivan [ivan.g.raikov at]; Publio, Rodrigo [publio at]; De Schutter, Erik [erik at];
Search NeuronDB for information about:  AMPA; NMDA; Gaba; I Na,p; I Na,t; I T low threshold; I A; I K; I h; I K,Ca; I Calcium; Gaba; Glutamate;
// Reserved for future development
// Written by Shyam Kumar Sudhakar, Ivan Raikov, Tom Close, Rodrigo Publio, Daqing Guo, and Sungho Hong
// Computational Neuroscience Unit, Okinawa Institute of Science and Technology, Japan
// Supervisor: Erik De Schutter
// Correspondence: Sungho Hong (
// September 16, 2017

//public PCdistance
objref pc,PCdistance,PCID,PCdistance1,PCID1,PCSCdelay

pc = new ParallelContext()
PCdistance = new List()
PCID = new List()
for (;i<pc.nhost;i+=1) {
    PCdistance = enPassage[0].PCBCdistance
    PCID = enPassage[0].PCidentitiesforBC
    //print  enPassage[0].PCdis.count


PCdistance1 = new List()
PCID1 = new List()
PCSCdelay= new List()
for (;i<pc.nhost;i+=1) {
    PCdistance1 = enPassage[0].PCSCdistance
    PCID1 = enPassage[0].PCidentitiesforSC
    PCSCdelay = enPassage[0].PCSCdelay
    //print  enPassage[0].PCdis.count


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