Del 1068 i serien Communications in Computer and Information Science

Computational Neuroscience

Second Latin American Workshop, LAWCN 2019, São João Del-Rei, Brazil, September 18–20, 2019, Proceedings

Häftad, Engelska, 2019

AvVinícius Rosa Cota,Dante Augusto Couto Barone,Diego Roberto Colombo Dias,Laila Cristina Moreira Damázio

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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.

Produktinformation

Utgivningsdatum2019-11-29
Mått155 x 235 x 17 mm
Vikt458 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor284
FörlagSpringer Nature Switzerland AG
ISBN9783030366353

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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.