Erik J Peterson

Aperiodic neural activity is a better predictor of schizophrenia than neural oscillations

This study shows that aperiodic neural activity, not oscillatory power, better predicts schizophrenia diagnosis and severity using EEG data during a target detection task.

A trade-off between error and synchrony when using temporal codes

This paper investigates the trade-off between computational error and population-level synchrony in neural oscillations and identifies a threshold for pathological synchrony.

What can astrocytes compute?

The paper proves astrocytes can compute any function neurons can, using calcium wave models and simulations, but their computational complexity is limited by network structure.

Costs and benefits of using rhythmic rate codes

The paper measures the costs and benefits of converting aperiodic neural codes to rhythmic ones in two models, finding that oscillations can enhance communication by correcting undersampling but depend on specific physical details.

Parameterizing neural power spectra

An open-source Python algorithm decomposes neural power spectra into a dynamic aperiodic 1/f background and Gaussian oscillatory peaks without requiring predefined canonical frequency bands.

Homeostatic mechanisms may shape the type and duration of oscillatory modulation

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.

Measuring the average power of neural oscillations

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

In model-based fMRI significant is less than specific

The paper shows that in model-based fMRI, statistical significance does not imply model specificity, highlighting issues with the hemodynamic response function's impact on results.

Alpha oscillations control cortical gain by modulating excitatory-inhibitory background activity.

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.

Inferring Synaptic Excitation/Inhibition Balance from Field Potentials

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

Nonsinusoidal oscillations underlie pathological phase-amplitude coupling in the motor cortex in Parkinson’s disease

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.