Resonance Analysis as a Tool for Characterizing Functional Division of Layer 5 Pyramidal Neurons

Frontiers in Computational Neuroscience
Melvin A FeltonPiotr J Franaszczuk

Abstract

Evidence suggests that layer 5 pyramidal neurons can be divided into functional zones with unique afferent connectivity and membrane characteristics that allow for post-synaptic integration of feedforward and feedback inputs. To assess the existence of these zones and their interaction, we characterized the resonance properties of a biophysically-realistic compartmental model of a neocortical layer 5 pyramidal neuron. Consistent with recently published theoretical and empirical findings, our model was configured to have a "hot zone" in distal apical dendrite and apical tuft where both high- and low-threshold Ca2+ ionic conductances had densities 1-2 orders of magnitude higher than anywhere else in the apical dendrite. We simulated injection of broad spectrum sinusoidal currents with linearly increasing frequency to calculate the input impedance of individual compartments, the transfer impedance between the soma and key compartments within the dendritic tree, and a dimensionless term we introduce called resonance quality. We show that input resonance analysis distinguished at least four distinct zones within the model based on properties of their frequency preferences: basal dendrite which displayed little resonance; soma/proxim...Continue Reading

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Citations

Oct 6, 2020·Frontiers in Computational Neuroscience·Melvin A FeltonPiotr J Franaszczuk
Mar 11, 2021·Journal of Neurophysiology·Craig KelleyWilliam W Lytton

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GEneral NEural SImulation System ( GENESIS )

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