The provided code represents a portion of a computational model used to simulate the electrical properties of a type of neuron, specifically within the context of computational neuroscience. It involves the modeling of a neuron to understand how various ion channels and their conductances contribute to the overall behavior of the neuron under different conditions.
Passive Properties:
insert pas
indicates the presence of passive leak channels in the membrane, which contribute to maintaining the resting membrane potential.Ra
(axial resistance) and cm
(membrane capacitance) are parameters that reflect the electrical properties of the neuron's membrane and its susceptibility to ion flows.e_pas
and g_pas
define the reversal potential and conductance of the passive leak channels.Active Properties:
Ih
, NaTg
, Nap
, K_P
, K_T
, Kv3_1
, SK
, Im
, Ca_HVA
, and Ca_LVA
represent the neuron's active properties. Each of these channels plays a role in the generation and propagation of action potentials.H-Channels (Ih
):
shift1_Ih
to shift6_Ih
) suggest modulation of the Ih
channel's activity, affecting how these channels open/close in response to voltage changes.Sodium Channels (NaTg
, Nap
):
NaTg
represents transient sodium channels, crucial for the rapid rise phase of action potentials.Nap
represents persistent sodium channels, contributing to subthreshold and sustained depolarizations.gbar
, vshift
, and slope
are related to the channel's conductance and gating kinetics, affecting action potential generation.Potassium Channels (K_P
, K_T
, Kv3_1
, SK
):
SK
channels are calcium-activated, linking membrane voltage and intracellular Ca²⁺ dynamics to modulate firing.Calcium Channels (Ca_HVA
, Ca_LVA
) and Dynamics:
CaDynamics
refers to the regulation of intracellular calcium levels, impacting cellular responses over time.somatic
, axonal
, and other regions (apic
, dend
) of the neuron, indicating region-specific distribution and density of channels, which affect local electrical properties.distribute_channels
function reflects a biologically realistic distribution pattern of Ih
channels across different neuronal compartments.The primary aim of this model is to capture the complex interplay of various ion channels and their distributions across neuronal compartments, allowing for exploration into how intrinsic properties and channel distributions affect neuron behavior, action potential initiation, propagation, and overall excitability. The parameters indicate a high degree of specificity, reflective of a detailed attempt to mimic observed biological functions within a specific neuron type, likely a pyramidal neuron in the cortex given the channel types and layout.