The code provided is part of a computational model that simulates neuronal interactions in a specific brain circuit known as the basal ganglia-thalamocortical network. This network is crucial for motor control and various neurological computations. The primary biological context of the code involves modeling different states of this network under healthy, Parkinson's Disease (PD), and Deep Brain Stimulation (DBS) conditions. Here are the biological aspects related to each component of the code:
Basal Ganglia (BG) Network:
Neuronal Activity:
v1
, v2
, v3
, v4
) suggest modeling of neuronal firing rates. These variables could represent the resting membrane potential of neurons in different nuclei, which is critical in understanding neuronal excitability and signaling across the network.randn(n,1)
): Introduces biological variability among neurons, acknowledging real-world differences in neuronal membrane potentials.Parkinson's Disease (PD) Model:
pd
variable simulates this condition, which likely affects the parameters and connectivity of the simulated network.Deep Brain Stimulation (DBS):
dbs
variable models the impact of this therapeutic intervention with a stimulation frequency specified (e.g., 130 Hz).Sensorimotor Cortex Input:
Istim
and timespike
represent the input from the sensorimotor cortex to the thalamic neurons. This input reflects the role of the sensorimotor cortex in initiating and modifying motor actions, which is integral to understanding how cortical signals influence basal ganglia and thalamic outputs.Overall, this code is part of a model aiming to capture the dynamics of the basal ganglia-thalamocortical network under various conditions—normal functioning, disrupted connectivity as seen in PD, and the modulatory effects of DBS. This allows for simulated studies on how such interventions can restore or alter motor control within this critical brain network.