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Predictive Model of a Functional Neuron

Project Overview

A comprehensive representation of how the following factors impact a neuron's firing behavior: sodium and potassium channels (and their varying subtypes), electrical conductance, extracellular charges, cell capacitance and the speed of opening and closing gates.

Context

The neuron's primary form of communication is through firing action potentials within and between connections. Adjusting the strength, speed, and firing patterns produce distinct results. Neuron receives stimulation -> Voltage threshold is surpassed -> sodium rushes in, voltage peaks -> potassium is expelled, voltage undershoots -> refractory period -> returns to rest.

Sources Used

An Introductory Course in Computational Neuroscience by Paul Miller
NSBV2004- Fundamentals in Computational Neuroscience (at Barnard College)

Tools Used

MATLAB_2023

  • 2D plotting
  • Graph visualization Custom functions
    • Spike counter
    • Peak electrical charge identifier

Procedure Overview

  1. Initialized parameters such as resting membrane potential, injected current, firing threshold, gating variables, and other cellular representations.
  2. Adjusted amount of applied current to regulate excitability; ensure clarity in anticipated results for the following analysis.
  3. Additional analysis of the potassium A-current & m,h and k gating variables.
    • The A-current is a special type of potassium channel that accounts for gating variables.
  4. Implemented custom functions that concisely identifies metrics.
  5. Results are plotted and analyzed.

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