Maxime Yochum

This study uses a neuroinspired model to investigate how tACS and tDCS affect neural activity in healthy and epileptic brain states, showing frequency entrainment in healthy networks and reduced hyperexcitability in epileptic networks.

This paper introduces an automated EEG source imaging method using structured sparsity to improve localization of epileptic activity in single and multiple synchronous cases.

NeoCoMM simulates neocortical activity across species and visualizes neural responses, field potentials, and electrode effects to study brain pathologies and hypotheses.

The paper models how different cortical cell types respond to tACS at various frequencies, finding frequency-dependent polarization and entrainment patterns.

The paper evaluates EEG/MEG source-space network analysis techniques using a human brain computational model and identifies optimal methods for inverse modeling, connectivity measures, and dimensionality reduction.

This paper introduces a laminar neural mass model that realistically reproduces SEEG recordings during epileptic seizures and demonstrates its ability to capture key electrophysiological features.

The paper evaluates EEG source-space networks using a large-scale brain activity model called COALIA, showing that high electrode density and specific inverse solution/connectivity measure combinations improve network estimation.

This paper estimates excitatory and inhibitory post-synaptic potentials from local field potentials using a physiologically-grounded neural mass model, validated on simulated and in vivo data.