Modeling thalamocortical cell: impact of Ca2+ channel distribution and cell geometry on firing pattern
Reza Zomorrodi, Helmut Kroger, Igor Timofeev

TL;DR
This study models how calcium channel distribution and cell geometry affect firing patterns and low threshold spike generation in thalamocortical neurons, revealing the importance of channel placement and cell size.
Contribution
It introduces a multi-compartment model showing how calcium channel distribution and cell geometry influence firing behavior and spike generation in thalamocortical cells.
Findings
Channel distribution affects firing only near threshold levels.
Fewer unequally distributed T-channels can generate LTS.
Firing frequency inversely correlates with cell size.
Abstract
The influence of calcium channel distribution and geometry of the thalamocortical cell upon its tonic firing and the low threshold spike (LTS) generation was studied in a 3-compartment model, which represents soma, proximal and distal dendrites as well as in multi-compartment model using the morphology of a real reconstructed neuron. Using an uniform distribution of Ca2+ channels, we determined the minimal number of low threshold voltage-activated calcium channels and their permeability required for the onset of LTS in response to a hyperpolarizing current pulse. In the 3-compartment model, we found that the channel distribution influences the firing pattern only in the range of 3% below the threshold value of total T-channel density. In the multi-compartmental model, the LTS could be generated by only 64% of unequally distributed T-channels compared to the minimal number of equally…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNeural dynamics and brain function · stochastic dynamics and bifurcation · Neuroscience and Neural Engineering
