The code provided is intended to model the influence of extracellular electrical fields on neuronal activity and the consequent impact on extracellular potential recordings. This type of modeling is relevant in understanding how neuronal activity is reflected in measurements made with extracellular electrodes, a common method in neuroscience research for recording electrical activity in the brain.
Extracellular Stimulation and Recording:
ex
), the code simulates how neurons respond to external electrical fields. This is a fundamental concept when considering techniques like transcranial magnetic stimulation (TMS) or deep brain stimulation (DBS).Transfer Resistance (rx
):
rx
parameter models the transfer resistance between the stimulus electrode and the local neuronal node. This is critical for understanding how the strength and effect of the electric field vary due to the distance and medium between the electrode and neuron.Membrane Current Contribution (im
):
im
) contribution to the extracellular potential field recorded by an electrode (represented by er
). This represents the fundamental basis of extracellular recordings where changes in ionic currents across neuronal membranes generate local electric fields detectable by electrodes.Spatial Coordinates (x
, y
, z
):
Extracellular Recorded Potential (er
):
er
represents the potential generated by local membrane currents. Integration across multiple neuronal segments (considering these individual contributions) allows for the estimation of the total extracellularly recorded potential.Parameters and Variables:
is
: Represents the stimulus current injected into the extracellular space, crucial for simulating the effects of external stimulation on neurons.area
: Represents the membrane surface area, essential for calculating the influence of the membrane on the extracellular field.The code is designed to simulate and understand the interaction between neuronal activity and external electric fields. This type of model is vital for interpreting data from extracellular recordings and for designing and evaluating neural stimulation techniques. By accounting for the spatial layout, biophysical properties of neurons, and the interaction with external electric fields, researchers can estimate neural responses and the potential recorded by electrodes in a precise manner. This has applications in both neuroscience research and clinical interventions involving neural modulation.