Computational Neuroscience (eBook, PDF)

Second Latin American Workshop, LAWCN 2019, São João Del-Rei, Brazil, September 18-20, 2019, Proceedings
Redaktion: Cota, Vinícius Rosa; Damázio, Laila Cristina Moreira; Dias, Diego Roberto Colombo; Barone, Dante Augusto Couto

• Format: PDF

Produktbeschreibung

This book constitutes the thoroughly refereed proceedings of the Second International Workshop of Computational Neuroscience, held in São João Del-Rei, Brazil, in September 2019.

The 17 full papers and 3 short papers presented have been thoroughly reviewed and selected from 45 submissions. The papers are organized in topical sections: artificial intelligence, machine learning, and related topics; complex systems and complex networks; computational neuroscience of learning and memory; neural signal processing; software and hardware implementations in neuroscience; brain-machine interfaces and neurostimulation; and seizure prediction.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 284
• Erscheinungstermin: 28. November 2019
• Englisch
• ISBN-13: 9783030366360
• Artikelnr.: 58406721

Inhaltsangabe

Artificial Intelligence, Machine Learning, and Related Topics.- Application of machine learning approaches to identify new anticonvulsant compounds active in the 6 Hz seizure model.- Motor Learning and Machine Learning: predicting the amount of sessions to learn the tracing task.- Kernel-spectral-clustering-driven motion segmentation: Rotating-objects first trials.- A New Granular Approach for Multivariate Forecasting.- Interactive analysis of the discussion from a virtual community on neuroscience.- Complex systems and complex Networks.- Influence of the contact network topology on the spread of tuberculosis.- Computational Neuroscience of Learning and Memory.- Association between fast and slow learning and molecular processes in repetitive practice: a post hoc analysis.- Reading Span Test for Brazilian Portuguese: An eye-tracking implementation.- Neural Signal Processing.- Multi-harmonic analysis using magnitude-squared coherence and its application to detection of auditory steady-state responses.- EEG Classification of Epileptic Patients Based on Signal Morphology.- Epileptiform spike detection in electroencephalographic recordings of epilepsy animal models using variable threshold.- Graph Model Evolution During Epileptic Seizures: linear model approach.- Software and Hardware Implementations in Neuroscience.- A parallel RatSlam C++ library implementation.- Method for the Improvement of Knee Kinematics Accuracy based on Kinect and Sensors: Preliminary Results.- Eye-tracking data analysis during cognitive task.- Brain-computer Interfaces and Neurostimulation.- Towards a roadmap for machine learning and EEG-based brain computer interface.- Considerations on the individualization of motor imagery Neurofeedback training.- The muscle-machine interface after stroke in improvement of hand extension: Case report.- Electrographic spectral signatures of animals submitted to pentylenetetrazole-induced seizures and treated with bilateral asynchronous non-periodic stimulation.- Seizure Prediction.- On the validity of using probing stimuli for seizure prediction in the Epileptor model.