Yupeng Tian

This paper develops a mathematical model of calcium-dependent synaptic plasticity to unify the effects of transcranial focused ultrasound and transcranial magnetic stimulation.

This study investigates how high-frequency DBS of the thalamic Vim suppresses neuronal firing by analyzing synaptic and network-level mechanisms in patients with essential tremor.

This paper develops a 1-D CNN for decoding DBS-induced neural activity to predict EMG signals, achieving high accuracy compared to polynomial and LSTM methods.

This paper proposes a model-based closed-loop DBS controller for essential tremor using EMG signals, showing it finds DBS frequencies that align with clinical studies.

The paper investigates the network mechanisms underlying thalamic deep brain stimulation and identifies key features of spiking activity in response to high-frequency stimulation.

The paper develops a mathematical model to quantify neuronal firing rate dynamics in basal ganglia and thalamus during DBS across different frequencies, showing consistent parameter fitting with both synthetic and experimental data.