Bradley Voytek

The paper uses a simplified hippocampal model to show that Ca²⁺-dependent homeostasis can transform AMPAergic oscillations into inhibitory effects, explaining the stability and function of theta rhythms.

Once the aperiodic 1/f component is modelled, the childhood shift of MEG power toward higher frequencies no longer holds; only beta power rises with age, alongside a flatter spectrum.

This paper shows that cortical organoids model early human brain network development by exhibiting oscillatory activity that transitions to patterns resembling preterm EEG.

This paper introduces a cycle-by-cycle analysis framework for neural oscillations, identifying burst-specific features and demonstrating its effectiveness on simulated and real neural data.

The paper shows that beta waveform shape features distinguish Parkinson's Disease patients on and off medication using non-invasive scalp EEG.

The paper analyzes hippocampal theta oscillations in rodents, finding relationships between burst patterns, waveform shape, and local inhibitory/excitatory spiking activity.

The paper shows that neural oscillation power is not normally distributed and introduces methods to reduce overestimation caused by high-power bursts.

This paper identifies a novel neural circuit mechanism by which alpha oscillations modulate cortical gain through balanced excitatory-inhibitory activity, unifying prior findings and predicting two functional roles for alpha rhythms.

This paper develops a computational model to estimate the excitation/inhibition ratio from electrophysiological power spectra, validated across two species.

This study shows that nonsinusoidal beta oscillations in the motor cortex of Parkinson’s disease patients underlie exaggerated phase-amplitude coupling, which is reduced by deep brain stimulation.