Florida Atlantic Undergraduate Research Journal
Article Title
An In-Silico Investigation of Induced Target Neural Activity Through Simulation-Based Inference Informed Deep Brain Stimulation
Abstract
Deep Brain Stimulation (DBS) is clinically effective for various neurological disorders, yet its underlying neuronal mechanisms remain unknown. Building on previous studies, we used an in-silico Hodgkin-Huxley biophysical model to investigate hippocampal CA1 responses to DBS. Our simulations replicate key experimental findings, confirming robust somatic depolarization at 140 Hz and a more gradual ramp at 40 Hz, alongside distinct transient and sustained voltage profiles. Both frequencies modulated firing rates, supporting the notion that DBS disrupts pathological network activity. Beyond frequency-specific effects, we employed Simulation-Based Inference (SBI) to identify the DBS features needed to suppress spiking and match a quiescent target neuron. These results demonstrate how in-silico approaches can elucidate DBS-induced membrane dynamics and underscore SBI’s potential for optimizing neuromodulation strategies.