Etay Hay

This study evaluates morphological reduction and synapse merging methods to speed up cortical microcircuit simulations while preserving spiking and EEG accuracy.

This study links reduced PV and SST interneuron inhibition in schizophrenia to distinct EEG biomarkers using in silico simulations of prefrontal microcircuits.

The paper links age-related cellular and synaptic changes in human cortical microcircuits to impaired brain function and EEG biomarkers using computational models and machine learning.

The paper tests methods for deriving connectivity from spiking activity in detailed cortical microcircuits and finds that activation paradigms significantly affect derivation accuracy.

This study shows that spine loss in depression impairs dendritic signal integration in human cortical microcircuits, leading to greater functional impairment than reduced inhibition alone.

This study predicts optimal 5-PAM doses for depression treatment using simulated EEG data and machine learning models.

This study identifies distinct EEG biomarkers for 5-PAM in rodents, showing specific changes in theta and beta/gamma power compared to diazepam.

The paper models the effects of 5-PAM on human cortical microcircuits to assess its potential in treating depression and identifies EEG biomarkers for drug efficacy.

The paper identifies age-related increases in sag voltage amplitude in human pyramidal neurons and shows reduced baseline firing in older neuron microcircuits.

The paper models human cortical microcircuits to show reduced inhibition in depression impairs stimulus processing by increasing baseline activity and reducing signal-to-noise ratio.

The paper simulates EEG signals from human cortical microcircuits with reduced SST interneuron inhibition to identify distinct EEG biomarkers associated with depression.

The paper shows how synaptic integration across first-order tactile neurons enables accurate and rapid orientation processing of moving edges on the fingertip.