A model for a nociceptor terminal and terminal tree (Barkai et al., 2020)

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This model was used to study how the architecture of the nociceptor terminal tree affects the input-output relation of the primary nociceptive neurons. The model shows that the input-output properties of the nociceptive neurons depend on the length, the axial resistance, and location of individual terminals and that activation of multiple terminals by a capsaicin-like current allows summation of the responses from individual terminals, thus leading to increased nociceptive output.
1 . Barkai O, Butterman R, Katz B, Lev S, Binshtok AM (2020) The Input-Output Relation of Primary Nociceptive Neurons is Determined by the Morphology of the Peripheral Nociceptive Terminals. J Neurosci 40:9346-9363 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism:
Cell Type(s): Dorsal Root Ganglion (DRG) cell;
Channel(s): I Potassium; I Calcium; I Sodium; I h;
Gap Junctions:
Simulation Environment: NEURON;
Model Concept(s): Action Potentials; Axonal Action Potentials; Nociception;
Search NeuronDB for information about:  I h; I Sodium; I Calcium; I Potassium;
The input-output relation of primary nociceptive neurons is determined by the morphology of the peripheral nociceptive terminals.
Barkai O, Butterman R, Katz B, Lev S, Binshtok AM. J Neurosci. 2020. doi: 10.1523/JNEUROSCI.1546-20.2020. 

Example 1: Stimulation of a single terminal nerve-ending with a capsaicin-like current (Example1_single.hoc)
Example 2: Stimulation of all terminal nerve-endings with a capsaicin-like current (Example2_all.hoc)

*The user can also specify which terminals to stimulate with capsaicin by adjusting "NavLessStim_vec" vector in the Capsaicin_stimulation.hoc 
and uncommenting the last line of "Terminal Proj Main.hoc" file and running it.

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