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Computational Neuroscience, 1st ed. 2019 Second Latin American Workshop, LAWCN 2019, São João Del-Rei, Brazil, September 18-20, 2019, Proceedings Communications in Computer and Information Science Series, Vol. 1068

Langue : Anglais

Coordonnateurs : Cota Vinícius Rosa, Barone Dante Augusto Couto, Dias Diego Roberto Colombo, Damázio Laila Cristina Moreira

Couverture de l’ouvrage Computational Neuroscience

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.

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.

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