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Florida Atlantic Undergraduate Research Journal

College

Harriet L. Wilkes Honors College

Co-Author Type 1

Graduate Student

Keywords

Deep Brain Stimulation (DBS), Neuromodulation, neuroscience, In silico, modeling, Hodgkin–Huxley model, Hippocampal CA1, Neuronal dynamics, Membrane potential, Somatic depolarization, Action potentials, Spike suppression, Firing rate modulation, Simulation-Based Inference (SBI), Biophysical, Neural network activity, Frequency-dependent stimulation, Parameter inference, Neural simulations, Neuroengineering, Neurological disorders, Computational, Brain stimulation optimization, neuroscience

Document Type

Article

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.

Advisors

Rodrigo F. O. Pena

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