Optimal balance predicts/explains amplitude and decay time of iPSGs (Kim & Fiorillo 2017)

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Accession:226364
"Synaptic inhibition counterbalances excitation, but it is not known what constitutes optimal inhibition. We previously proposed that perfect balance is achieved when the peak of an excitatory postsynaptic potential (EPSP) is exactly at spike threshold, so that the slightest variation in excitation determines whether a spike is generated. Using simulations, we show that the optimal inhibitory postsynaptic conductance (IPSG) increases in amplitude and decay rate as synaptic excitation increases from 1 to 800 Hz. As further proposed by theory, we show that optimal IPSG parameters can be learned through anti-Hebbian rules. ..."
Reference:
1 . Kim JK, Fiorillo CD (2017) Theory of optimal balance predicts and explains the amplitude and decay time of synaptic inhibition. Nat Commun 8:14566 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Synapse;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Homeostasis;
Implementer(s): Kim, Jae Kyoung [kimjack0 at kaist.ac.kr];
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KimEtAl2017
README.html
hh2.mod
netstims.mod *
After_learning.hoc
Before_learning.hoc
IEIs_50Hz.tmp
init.hoc
mosinit.hoc *
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load_file("nrngui.hoc")
load_file("init.hoc")

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