Paola Malerba

Real-time detection of N2 and N3 sleep from scalp and intracranial EEG

This paper develops a real-time sleep stage classifier for N2 and N3 sleep using scalp and intracranial EEG, showing high accuracy and informing stimulation timing.

Predictability of Sleep Slow Oscillation Emergence and Spatial Extent from Pre-Onset Neural Dynamics

The paper identifies theta-band power as a predictor of slow oscillation (SO) initiation and spatial extent using EEG data from healthy adults.

Predictive Modeling of Sleep Slow Oscillation Emergence on the electrode manifold: Toward Personalized Closed-Loop Brain Stimulation

This paper develops a predictive model for sleep slow oscillation (SO) occurrences during NREM sleep, enabling more precise targeting for brain stimulation by analyzing SO timing and decay patterns across sleep cycles.

A Classification-Based Generative Approach to Selective Targeting of Global Slow Oscillations during Sleep

This paper introduces a classification-based generative approach to optimize closed-loop tACS during sleep by targeting global slow oscillations, showing potential for improving memory consolidation.

Slow oscillations promote long range effective communication: the key for memory consolidation in a broken down network

The paper shows that slow oscillations during NREM sleep enhance long-range neural communication, which supports memory consolidation despite reduced overall connectivity.

Slow oscillations provide the spatio-temporal framework for long-range neural communication during sleep

The paper investigates slow oscillations during sleep, showing they enable long-range neural communication and support memory consolidation.

Interaction of Hippocampal Ripples and Cortical Slow Waves Leads to Coordinated Large-Scale Sleep Rhythm

This study examines the interaction between cortical slow oscillations and hippocampal ripples during sleep using a computational model and human recordings, finding that ripples influence cortical spatiotemporal patterns and synchronize state transitions.

Selective Recruitment of Cortical Neurons by Electrical Stimulation

This paper develops a model to predict which cortical neurons are activated by electrical stimulation, finding selective activation across cell types, layers, and stimulation parameters.

Large time step discrete-time modeling of sharp wave activity in hippocampal area CA3.

The paper examines how increasing the integration time step affects a hippocampal CA3 network model and proposes parameter adjustments to mitigate the impact.

Learning-induced sequence reactivation during sharp-wave ripples: a computational study

This study uses a computational model to show that learning-induced synaptic changes increase the reactivation of recently learned trajectories during sleep SWR events.

Defining the synaptic mechanisms that tune CA3-CA1 reactivation during sharp-wave ripples

This paper develops a theoretical model of hippocampal spiking during sharp-wave ripples, showing how network connectivity and inhibition shape reactivation patterns in CA3 and CA1.