Dimitris A. Pinotsis

Measuring excitation/inhibition balance through field potentials

The paper evaluates four E/I balance metrics using field potential recordings from rat and mouse brain regions, finding broadband and high gamma power consistently correlate with E/I.

A Canonical Microcircuit for Estimating Excitation/Inhibition (E/I) Balance

This paper introduces a canonical microcircuit model to estimate E/I balance from non-invasive M/EEG recordings and shows its relevance to schizophrenia biomarkers.

Ephaptic coupling can explain variability in neural activity

The paper shows that ephaptic coupling from mesoscale electric fields explains trial-to-trial variability in cortical oscillatory power during a spatial delay saccade task.

Evidence for predictive computations in a brain hierarchy during a visual search task

The paper compares predictive coding, routing, and autoencoders using LFP data to determine their role in visual search task neural dynamics.

Ephaptic coupling and power fluctuations in depression

The paper analyzes LFP data from the subcallosal cingulate cortex following DBS implantation to explore neural dynamics and introduces two new measures to assess brain power fluctuations in depression.

Ephaptic-Axonal Interactions Predict Radial Biases During EarlyNeural Self-Organization

The paper investigates ephaptic-axonal interactions in developing cortical tissue and finds radial biases in neural activity patterns during self-organization.

A computational account of joint SSRI and anti-inflammatory treatment

The paper develops a computational model to explore how inflammation, serotonin levels, and brain activity interact, and how anti-inflammatory and antidepressant treatments affect depressive symptoms.

In vivo ephaptic coupling allows memory network formation

The paper investigates how bioelectric fields contribute to memory network formation through in vivo ephaptic coupling using synergetics and machine learning.

Dynamic causal modelling shows a prominent role of local inhibition in alpha power modulation in higher visual cortex

The paper uses dynamic causal modelling to show that intrinsic disinhibition in higher visual cortex contributes to alpha power differences between eyes-open and eyes-closed states.

Towards Biophysical Markers of Depression Vulnerability

The paper develops biophysical models of neural dynamics from EEG data to identify biomarkers for depression subtyping, showing better classification than traditional EEG features.

Beyond dimension reduction: Stable electric fields emerge from and allow representational drift

The paper shows that stable electric fields enable representational drift in neural activity while maintaining working memory stability.

Differences in visually induced MEG oscillations reflect differences in deep cortical layer activity

The paper links variability in visually induced MEG oscillations to differences in deep cortical layer activity using computational models and Bayesian inference.

Sensory Processing and Categorization in Cortical and Deep Neural Networks

The paper models neural interactions during a sensorimotor decision-making task using deep neural networks and compares brain responses to domain geometry and deep network predictions.

Working Memory Load Modulates Neuronal Coupling

The paper investigates how working memory load affects neuronal coupling in a primate brain network using a predictive coding model and cross-spectral density analysis.