Computational neuroscience as a tool for studying neurons

Abstract

Objectives: Computational neuroscience uses a neuron model to investigate the behavior of a neuron under different stimuli e.g. magnetic field. The aim of the study is to investigate the effect of conductivity change of sodium (Na+) and potassium (K+) ion channels on the generation and course of action potential, excitability and firing rate of neuron.

Methods: HHSim (Hodgkin-Huxley) graphical simulator was used for investigation of generation and firing rate of action potential (AP) and investigation of neuronal excitability.

Results: Na+ channel downregulation of conductance reveals a decrease of AP amplitude, and upregulation an increase of amplitude. Higher conductance of Na+ channel leads to higher firing rate from the value 53 HZ to 66 Hz. K+ channel downregulation of conductance reveals an increase of AP amplitude. Lower conductance of K+ channel leads to higher firing rate from the value 62 HZ to 68 Hz. K+ channel upregulation of conductance shows a decrease of AP amplitude.

Conclusion: From the results it can be drawn that effect of conductivity change as a result of magnetic field is significant and can leads to change of neurons. uman brain cultures, often termed "glia-like" cells (Tab. 4, Fig. 6, Ref. 21).

Keywords: action potential magnetic field.; conductance; ion channels.