Cota / Barone / Dias Computational Neuroscience

Second Latin American Workshop, LAWCN 2019, São João Del-Rei, Brazil, September 18–20, 2019, Proceedings
Erscheinungsjahr 2019
ISBN: 978-3-030-36636-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 1068, 284 Seiten, eBook

Reihe: Communications in Computer and Information Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Cota, Vinícius Rosa

Barone, Dante Augusto Couto

Dias, Diego Roberto Colombo

Damázio, Laila Cristina Moreira

Inhaltsverzeichnis

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.