Marco N. Pompili

The paper introduces ISAC, a method to detect synchronously active cells, showing it outperforms existing algorithms and reveals new features of assembly dynamics in experimental data.

This study investigates how fear learning and expression are integrated across the dorsoventral axis of the hippocampus using single-unit recordings.

The paper identifies criticality signatures in cortical networks during synchronization onset, showing both intra- and inter-hemispheric coordination patterns.

This paper develops a multiscale computational framework to study how brain criticality at local and global scales interacts through structural connectivity.

This review summarizes methods for detecting cell assemblies in electrophysiological recordings, comparing their principles and applications to guide data analysis.

The paper identifies a novel dopaminergic critic signal in mice during operant tasks that predicts correct/incorrect choices before reward signals, suggesting a role in learning and strategy adjustment.

This paper introduces a new prosthesis for long-term, near-continuous electrophysiological recordings in rats, achieving high retrieval success rates and improved durability.

This study examines rhythmic oscillations in midbrain dopaminergic nuclei of mice during task performance, finding phase-locked activity in specific frequency bands linked to behavioral events.

The paper demonstrates evidence for communication between cell assemblies and 'reader' neurons, showing their functional selectivity, flexibility, and plasticity during learning.

The paper identifies behavioral phenotypes post-trauma that predict fear relapse vulnerability and links them to differential gene expression.