Spike-timing dependent inhibitory plasticity for gating bAPs (Wilmes et al 2017)

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Accession:234241
"Inhibition is known to influence the forward-directed flow of information within neurons. However, also regulation of backward-directed signals, such as backpropagating action potentials (bAPs), can enrich the functional repertoire of local circuits. Inhibitory control of bAP spread, for example, can provide a switch for the plasticity of excitatory synapses. Although such a mechanism is possible, it requires a precise timing of inhibition to annihilate bAPs without impairment of forward-directed excitatory information flow. Here, we propose a specific learning rule for inhibitory synapses to automatically generate the correct timing to gate bAPs in pyramidal cells when embedded in a local circuit of feedforward inhibition. Based on computational modeling of multi-compartmental neurons with physiological properties, we demonstrate that a learning rule with anti-Hebbian shape can establish the required temporal precision. ..."
Reference:
1 . Wilmes KA, Schleimer JH, Schreiber S (2017) Spike-timing dependent inhibitory plasticity to learn a selective gating of backpropagating action potentials. Eur J Neurosci 45:1032-1043 [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:
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Receptor(s):
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Simulation Environment: NEURON;
Model Concept(s): Synaptic Plasticity; Dendritic Action Potentials; Detailed Neuronal Models; Action Potentials; Learning; Active Dendrites; STDP;
Implementer(s): Wilmes, Katharina A. [katharina.wilmes at googlemail.com];
 
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WilmesEtAl_EJN2017
                            
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