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Emahnuel Troisi Lopez on Muck Rack

Emahnuel Troisi Lopez

As seen in: Wiley Online Library, MDPI, BioRxiv, Mary Ann Liebert, Inc., Neurology, medRxiv
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Articles

Artificial Intelligence for automatic movement recognition: a network-based approach

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By Emahnuel Troisi Lopez, Roberta Minino, Mario De Luca, Francesco Tafuri
| BioRxiv
Abstract Introduction: automatic movement recognition is often used to support various fields such as clinical, sports, and security. To date, there is a lack of a classification feature that is both interpretable and not movement-specific, characteristics that would enhance generalization and adaptability.
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Intermodal Consistency of Whole‐Brain Connectivity and Signal Propagation Delays

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By Maciej Jedynak, Aix Marseille, Emahnuel Troisi Lopez, Antonella Romano
| Wiley Online Library Verified
1 Introduction Brain functions are thought to be emergent from the interaction of multiple brain areas, which is fine-tuned and generates complex dynamics (Bullmore and Sporns 2009). This complexity is informative both in physiological and pathological conditions at rest and in the context of brain perturbations, such as pulses or pharmacological manipulations.
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Analyzing Information Exchange in Parkinson’s Disease via Eigenvector Centrality: A Source-Level Magnetoencephalography Study

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By Michele Ambrosanio, Emahnuel Troisi Lopez, Maria Maddalena Autorino, Stefano Franceschini
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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