Michael Okun

The paper identifies heteroskedasticity in neuronal population responses across conditions, showing it reflects biophysical variance and influences optimal readout strategies.

This study investigates cerebral vasomotion in anaesthetised rats, finding it driven by the arterial tree and largely independent of neural activity.

This paper introduces a neuron tracking method using non-rigid alignment of spike sorted clusters to identify the same neurons across multiple days in high density electrophysiology recordings, achieving an 84% average recovery rate.

This study examines how psychedelic drugs and intrinsic brain state transitions affect neuronal firing rate distributions in mice, revealing a common pattern of stretching and squeezing in log-rate distributions across different brain states.

The paper introduces Neuropixels 2.0, a high-density probe for long-term brain recordings, and demonstrates its stability across months in multiple labs and species.

The paper shows that mean-field models of cortical dynamics require inclusion of thalamic interactions to accurately predict responses to optogenetic stimulation in awake mice.

This study investigates how mice integrate sensory confidence and reward value in decision-making and learning, revealing distinct roles for frontal and dopamine neurons.

The paper analyzes cortical spiking dynamics across fast and infraslow timescales in mice, revealing distinct coupling patterns between individual neurons and population activity.

This study develops a deterministic spiking network model to analyze multi-neuron recordings and shows that feedback inhibition controls noise correlations in cortical networks.

This study shows that immobile silicon probes can provide stable, long-term neuronal recordings in mice for several months without microdrives.