Realistic amplifier model (Oláh et al. 2021)

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Accession:267063
"... we built a model that was verified by small axonal recordings. The model accurately recreated actual action potential measurements with typical recording artefacts and predicted the native electrical behavior. The simulations verified that recording instruments substantially filter voltage recordings. Moreover, we revealed that instrumentation directly interferes with local signal generation depending on the size of the recorded structures, which complicates the interpretation of recordings from smaller structures, such as axons. However, our model offers a straightforward approach that predicts the native waveforms of fast voltage signals and the underlying conductances even from the smallest neuronal structures..."
Reference:
1 . Oláh VJ, Tarcsay G, Brunner J (2021) Small size of recorded neuronal structures confines the accuracy in direct axonal voltage measurements. eNeuro [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Axon;
Brain Region(s)/Organism: Hippocampus;
Cell Type(s): Dentate gyrus granule GLU cell;
Channel(s): I Sodium; I Potassium;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Action Potentials;
Implementer(s): Oláh, Viktor János; Tarcsay, Gergely;
Search NeuronDB for information about:  Dentate gyrus granule GLU cell; I Sodium; I Potassium;
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