Timothy Denison

Spinal Recurrent Inhibition Shapes the Dynamics of TMS-induced Motor-Evoked Potentials: A Computational Modeling Study

This study presents a computational model of the motor pathway that reproduces individual MEP waveforms and reveals the critical role of spinal recurrent inhibition in shaping their temporal structure.

Why Speech Motor Blocks Emerge in a Communicative Context: An Active Inference Model of Stuttering

This paper develops an active inference model of stuttering that explains private speech fluency and information-value effects in social contexts.

Device-embedded accelerometry complements neural signals for tracking parkinsonian motor states

This study shows that device-embedded accelerometry better tracks Parkinsonian motor states than neural signals during deep brain stimulation.

A learning-evoked slow-oscillatory architecture paces population activity for offline reactivation across the human medial temporal lobe

The paper identifies a slow-oscillatory architecture in the human medial temporal lobe that coordinates population activity during learning and facilitates offline reactivation and recall.

Dithering suppresses half-harmonic neural synchronisation to photic stimulation in humans

This study shows that dithering suppresses half-harmonic neural synchronisation to photic stimulation in humans compared to periodic stimulation.

A cardiac pulse signal affects local field potentials recorded from deep brain stimulation electrodes across clinical targets

This study identifies a cardiac pulse signal affecting LFP recordings from DBS electrodes across multiple brain regions and patient groups, introducing an algorithm to detect and extract it.

Modulation of motor cortical theta and gamma oscillations using phase-targeted, closed-loop optogenetic stimulation of local excitatory and inhibitory neurons

This study uses closed-loop optogenetic stimulation to modulate theta and gamma oscillations in the motor cortex of mice, showing phase-dependent effects based on neuron type and stimulation protocol.

NeuroTest: a benchtop testbed for evaluating sensing-capable electrophysiology and neurostimulation systems

NeuroTest evaluates sensing-capable electrophysiology and neurostimulation systems through a low-cost, open-source benchtop platform to standardize testing and reduce variability across institutions.

Phasic and tonic pain serve distinct functions during adaptive behaviour

The paper tests the hypothesis that phasic and tonic pain serve distinct functions in adaptive behavior using a virtual reality foraging task with EEG measurements.

Offline hippocampal reactivation during dentate spikes supports flexible memory

This study shows that dentate spikes (DSs) during sleep reactivate memory-related neuronal patterns, supporting flexible memory, and are distinct from sharp-wave ripples (SWRs) in their structure and function.

Evoked Resonant Neural Activity Long-Term Dynamics can be Reproduced by a Computational Model with Vesicle Depletion

The paper presents a computational model that reproduces the long-term dynamics of evoked resonant neural activity (ERNA) using vesicle depletion as the key mechanism.

Prediction of pathological subthalamic nucleus beta burst occurrence in Parkinson's disease

This paper predicts subthalamic nucleus beta bursts in Parkinson's disease using deep learning, identifying a predictive biomarker for burst onset.

Multi-night naturalistic cortico-basal recordings reveal mechanisms of NREM slow wave suppression and spontaneous awakenings in Parkinson's disease

This study uses multi-night recordings to show that Parkinson's disease affects NREM sleep by altering cortico-basal slow wave activity and subcortical beta power, with DBS enhancing these changes and predicting spontaneous awakenings.

Hierarchical encoding of reward, effort and choice across the cortex and basal ganglia during cost-benefit decision making

The paper investigates how reward, effort, and choice are encoded hierarchically across the cortex and basal ganglia during cost-benefit decisions in rats.

Sub-harmonic Entrainment of Cortical Gamma Oscillations to Deep Brain Stimulation in Parkinson's Disease: Model Based Predictions and Validation in Three Human Subjects

This study develops a model to predict cortical gamma oscillation entrainment to DBS in Parkinson's patients and validates it in three subjects.

The effect of pulse shape in theta-burst stimulation: monophasic vs biphasic TMS

This study compares monophasic and biphasic theta-burst stimulation (iTBS) effects on motor corticospinal excitability, finding monophasic iTBS induces a larger increase in motor evoked potential amplitude.

How to entrain a selected neuronal rhythm but not others: open-loop dithered brain stimulation for selective entrainment

This paper proposes dithered brain stimulation to selectively entrain specific neuronal rhythms while avoiding harmful sub- and super-harmonic entrainment.

Integrated human-machine interface for closed-loop stimulation using implanted and wearable devices

The paper develops a system integrating implantable brain stimulation devices with wearable electronics for adaptive stimulation and real-time analysis in natural environments.

Pulse-Width Modulation-based TMS mimics effects of conventional TMS on human primary motor cortex

This paper develops a novel TMS device using pulse-width modulation that mimics conventional TMS effects on the human motor cortex, showing equivalent neuronal stimulation with added flexibility.

The sensitivity of ECG contamination to surgical implantation site in adaptive closed-loop neurostimulation systems

The paper investigates how implant location affects ECG contamination in neurostimulation systems, finding higher contamination in left-sided subclavicular implants compared to right-sided ones.

Chronic wireless streaming of invasive neural recordings at home for circuit discovery and adaptive stimulation

This paper describes a wireless neural interface for long-term home monitoring of neural activity in Parkinson's disease patients, enabling adaptive stimulation and behavioral state decoding.