David Crompton

The paper identifies and differentiates filter-induced oscillations from physiological stimulation-evoked potentials in intracranial recordings to improve DBS targeting accuracy.

The paper investigates whether quasi-evoked inhibition in Vim neurons correlates with clinical tremor reduction and its dependence on stimulation location.

This paper introduces a computational model to understand how deep brain stimulation affects neuronal circuits by considering synaptic properties, connectivity architecture, and circuit motifs.

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.

FiNNpy 2.0 adds MEG source reconstruction with optimized speed and improved usability features.

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

This paper introduces an adaptive unscented Kalman filter for neuronal state and parameter estimation, showing improved accuracy and robustness compared to standard variants.

The paper develops a reduced OLM cell model to identify biophysical current balances enabling theta frequency spiking resonance in vivo.