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Elisa Magosso

University of Bologna

Research Interests

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Articles (24)

Collaborators (9)

Stefano Diciotti

ALMA MATER STUDIORUM UNIVERSITY OF BOLOGNA

Manuela Petti

Sapienza University of Rome

Patrizia Fattori

Professor of Physiology

University of Bologna

Marco Simões

Assistant Professor

University of Coimbra

MARIA CRISTINA BISI

Associate Professor

University of Bologna

Silvia Fantozzi

University of Bologna

Davide Borra

University of Bologna

Gernot Müller-Putz

Graz University of Technology

Sofia Straudi

Azienda Ospedaliero Universitaria di Ferrara Arcispedale Sant'Anna

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Elisa Magosso

Research Interests

Make your next move.

Explore related searches

Articles (24)

Collaborators (9)

Stefano Diciotti

Manuela Petti

Patrizia Fattori

Marco Simões

MARIA CRISTINA BISI

Silvia Fantozzi

Davide Borra

Gernot Müller-Putz

Sofia Straudi

Make your next move.

Elisa Magosso

Research Interests

Make your next move.

Explore related searches

Articles (24)

Interpretable Neural Networks Reveal Spectral Changes in LFP During Reach Preparation

Covert Visuospatial Attention is Associated with Frequency-Specific Power and Connectivity Modulation

Differential Effects of Gait Rehabilitation Exercises on Cortical Haemodynamics in Multiple Sclerosis

Revealing EEG signatures of intervention in disorder of consciousness using artificial intelligence: methodology and feasibility

Cortical alpha changes during visuospatial attention: a deep learning–enriched EEG analysis

Inferring Arm Movement Direction from EEG Signals Using Explainable Deep Learning

Unveiling multi-domain signatures of EEG oscillations using a fully-interpretable convolutional neural network

A protocol for trustworthy EEG decoding with neural networks

A Compact Convolutional Neural Network for Decoding EEG Functional Connectivity: Application to Motor Imagery

A deep learning-enriched framework for analyzing brain functional connectivity

Combining EEG Oscillation Analysis and Explainable Artificial Intelligence for Characterizing Visuospatial Attention

Interpretable and Explainable AI Reveals EEG Signatures of Intervention in Minimally Conscious State Patients

The strength of anticipated distractors shapes EEG alpha and theta oscillations in a Working Memory task

Convolutional neural networks reveal properties of reach-to-grasp encoding in posterior parietal cortex

Motor decoding from the posterior parietal cortex using deep neural networks

Decoding movement kinematics from EEG using an interpretable convolutional neural network

Modulations of Cortical Power and Connectivity in Alpha and Beta Bands during the Preparation of Reaching Movements

Deep learning applied to EEG source-data reveals both ventral and dorsal visual stream involvement in holistic processing of social stimuli

Decoding sensorimotor information from superior parietal lobule of macaque via Convolutional Neural Networks

Neural Networks and Connectivity among Brain Regions

A Bayesian-optimized design for an interpretable convolutional neural network to decode and analyze the P300 response in autism

A Novel Method to Assess Motor Cortex Connectivity and Event Related Desynchronization Based on Mass Models

The Directionality of Fronto-Posterior Brain Connectivity Is Associated with the Degree of Individual Autistic Traits

The Relationship between Oscillations in Brain Regions and Functional Connectivity: A Critical Analysis with the Aid of Neural Mass Models

Collaborators (9)

Stefano Diciotti

Manuela Petti

Patrizia Fattori

Marco Simões

MARIA CRISTINA BISI

Silvia Fantozzi

Davide Borra

Gernot Müller-Putz

Sofia Straudi

Make your next move.