Titlebook: Computational Neuroscience; Third Latin American Paulo Rogério de Almeida Ribeiro,Vinícius Rosa Cot Conference proceedings 2022 Springer Na

APO

Brain Connectivity Measures in EEG-Based Biometry for Epilepsy Patients: A Pilot Studythat it is possible to identify a person based on features extracted from these signals. In this work we focus on four functional connectivity measures (magnitude-squared and imaginary coherence, motif synchronization and space-time recurrence) for the classification of 10 epilepsy patients with rec

Nomadic

胆小懦夫

Physiological Self-regulation Using Biofeedback Training: From Concept to Clinical Applicability people with some disabilities to integrate them to a complete social life. A very promising tool is the physiological self-regulation protocols based on biofeedback training. Biofeedback protocols are based on the premise that it is possible to learn how to self-modulate specific aspects of the bod

Root494

enflame

Cumbersome

Adulate

Path Integrals for Fermions and Bosonsances in the integration of Deep Learning architectures, particularly in mobile autonomous robotics applications, have motivated several researches to overcome the challenges related to the limitations of computational resources. One of the biggest challenges in the area, is the development of appli

GUEER

DECRY

https://doi.org/10.1007/978-3-662-49170-6a necessity of seeking for affordable and intuitive interface for effective and engaging communication with humans. Likewise, innovative devices that offer alternative methods of interacting with machines allow us to create new interfaces, improving the learning training and motion application. Thus

STING