The code provided is a simulation of a computational model that represents neuronal dynamics, focusing on the electrical activities within a neuron. Here is an overview of the biological basis of the components present in the code:
The code models the neuronal membrane potential (Vm), which is the electrical potential difference across the neuron's membrane. This is fundamental to understanding how neurons transmit signals.
The model includes calculations for various ionic currents vital for neuronal function:
g_na
, g_naL
), and the sodium Nernst potential ((E_{na})). The model calculates these using gating variables represented by m
and h
, reflecting the activation and inactivation of sodium channels.g_k
, g_kL
) and the potassium Nernst potential ((E_k)) are used. The gating variable n
represents the state of potassium channels.g_clL
) and chloride Nernst potential ((E_{cl})) are modeled.m
, n
, h
: These are gating variables that describe the state of ion channels, representing the probability of a channel being open. They are critical for model accuracy in emulating the behavior of sodium and potassium channels.The model tracks various intra- and extracellular ion concentrations:
[K]_e
, [K]_i
: Extracellular and intracellular potassium concentrations.[Na]_e
, [Na]_i
: Extracellular and intracellular sodium concentrations.[Cl]_e
, [Cl]_i
: Extracellular and intracellular chloride concentrations.The Nernst potentials for sodium, potassium, and chloride are calculated to represent the equilibrium potential for these ions, which is crucial for determining ionic movement directions across the membrane.
Tanoxia
: Represents the onset of anoxia, a deprivation of oxygen which can significantly alter neuronal bioelectrical activity.Overall, this code aims to model the electrophysiological behaviors of neurons by incorporating ionic currents, concentration dynamics, and the effects of anoxia, thereby providing insights into how neurons maintain and propagate electrical signals under varying physiological conditions.