Distributed synaptic plasticity and spike timing (Garrido et al. 2013)

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Accession:149913
Here we have used a computational model to simulate the impact of multiple distributed synaptic weights in the cerebellar granular layer network. In response to mossy fiber bursts, synaptic weights at multiple connections played a crucial role to regulate spike number and positioning in granule cells. Interestingly, different combinations of synaptic weights optimized either first-spike timing precision or spike number, efficiently controlling transmission and filtering properties. These results predict that distributed synaptic plasticity regulates the emission of quasi-digital spike patterns on the millisecond time scale and allows the cerebellar granular layer to flexibly control burst transmission along the mossy fiber pathway.
Reference:
1 . Garrido JA, Ros E, D'Angelo E (2013) Spike timing regulation on the millisecond scale by distributed synaptic plasticity at the cerebellum input stage: a simulation study. Front Comput Neurosci 7:64 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism:
Cell Type(s): Cerebellum interneuron granule cell; Cerebellum golgi cell;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: MATLAB; EDLUT;
Model Concept(s): Long-term Synaptic Plasticity;
Implementer(s): Garrido, Jesus A [jesus.garrido at unipv.it];
Search NeuronDB for information about:  Cerebellum interneuron granule cell;
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//                           _LIF_TD_NMDA_Interneuron.cfg                //
//                           ----------------------------                //
// copyright            : (C) 2013 by Jesus Garrido                      //
// email                : jesus.garrido@unipv.it                         //
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//                                                                       //
//  This file describes the parameters for an cerebellar interneuron.    //
//  A complete description of the wholenetwork model and its             //
//  functional properties can be found in:                               //
//                                                                       //
//  Garrido JA, Ros E and D’Angelo E (2013) Spike timing regulation on the//
//  millisecond scale by distributed synaptic plasticity at the cerebellum//
//  input stage: a simulation study. Front. Comput. Neurosci. 7:64.       //
//   doi: 10.3389/fncom.2013.00064                                       //
//                                                                       //
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// Excitatory reversal potential: eexc
0

// Inhibitory reversal potential: einh
-0.058

// Resting potential: erest
-0.056

// Threshold potential: vth
-0.040

// Membrane capacitance: cm
4e-12

// AMPA channel time constant: tampa
0.64e-3

// NMDA channel time constant: tnmda - Not reallistic parameter
40e-3

// GABA channel time constant: tinh
2e-3

// Gap junction time constant: tgj
0.044

// Resting time constant: trest
3e-3

// Resting conductance: grest
0.2

// Gap junction coupling factor fgj
0.044