Computational model
Spike-timing dependent inhibitory plasticity for gating bAPs (Wilmes et al 2017)
Katharina Anna Wilmes
"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. ..."
  • Neuron or other electrically excitable cell Show Other
  • Wilmes KA, Schleimer JH, Schreiber S (2017) Show Other
  • Wilmes, Katharina A. [katharina.wilmes at] Show Other
Pyramidal Neurons, Interneuron
Wilmes, K. A., Schleimer, J.-H. and Schreiber, S. (2017), Spike-timing dependent inhibitory plasticity to learn a selective gating of backpropagating action potentials. Eur J Neurosci, 45: 1032–1043. doi:10.1111/ejn.13326
Other categories referring to Spike-timing dependent inhibitory plasticity for gating bAPs (Wilmes et al 2017)
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Last Time: 11/2/2017 6:39:28 PM
Reviewer: Tom Morse - MoldelDB admin
Owner: Tom Morse - MoldelDB admin