https://github.com/csinva/axon-ap-propagation

Code for simulations of action potential propagation

https://github.com/csinva/axon-ap-propagation

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
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  • Academic publication links
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    1 of 1 committers (100.0%) from academic institutions
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    Low similarity (5.0%) to scientific vocabulary

Keywords

action-potential axon neuron-simulations neuroscience simulation
Last synced: 10 months ago · JSON representation

Repository

Code for simulations of action potential propagation

Basic Info
  • Host: GitHub
  • Owner: csinva
  • Language: AMPL
  • Default Branch: master
  • Size: 7.56 MB
Statistics
  • Stars: 1
  • Watchers: 3
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
action-potential axon neuron-simulations neuroscience simulation
Created over 9 years ago · Last pushed about 9 years ago
Metadata Files
Readme

README.md

axon simulations

  • tapering axon simulation code based on Johnson, Holmes, Brown, and Jung 2015

setup

run the code

  • clone the repo
  • compile the mod files (differs based on OS - see NEURON documentation)
  • run main.hoc

todo

reference

goals

  1. maximize velocity
  2. minimize energy
  3. minimize noise variability

constraints

  • amount of protein membrane can sustain

hypotheses

  • node only gets to minimum needed
    • see brill et al ~1997
  • Resting potential might be getting messed up
  • Look at changing gbar
  • Look at changing potassium conductances

notes

  • currently fires with noise
    • fires at very low voltage
  • Johnson, Holmes, Brown, and Jung 2015
    • Goal: maximize conduction velocity but minimize metabolic costs
    • Myelination does this by decreasing capacitance
    • Increasing axon diameter does this by increasing ion flow
    • They assume fixed number of sodium channels and change morphology
    • 3 different taperings along the PARA
  • other papers
    • base on Mcintyre, Richardson, and Grill 2001
    • empirical fits to blight, 1985 rat recording and david, 1995 rat recording

done

  • fixed surface area and looked at different diameters

Owner

  • Name: Chandan Singh
  • Login: csinva
  • Kind: user
  • Location: Microsoft research
  • Company: Senior researcher

Senior researcher @Microsoft interpreting ML models in science and medicine. PhD from UC Berkeley.

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  • Total Committers: 1
  • Avg Commits per committer: 35.0
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Chandan c****q@v****u 35
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