Computational Neuroscience: Communications in Computer and Information Science, cartea 1068
Editat de Vinícius Rosa Cota, Dante Augusto Couto Barone, Diego Roberto Colombo Dias, Laila Cristina Moreira Damázioen Limba Engleză Paperback – 29 noi 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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Specificații
ISBN-13: 9783030366353
ISBN-10: 3030366359
Pagini: 300
Ilustrații: XIII, 284 p. 137 illus., 117 illus. in color.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.46 kg
Ediția:1st ed. 2019
Editura: Springer
Colecția Communications in Computer and Information Science
Seria Communications in Computer and Information Science
Locul publicării:Cham, Switzerland
ISBN-10: 3030366359
Pagini: 300
Ilustrații: XIII, 284 p. 137 illus., 117 illus. in color.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.46 kg
Ediția:1st ed. 2019
Editura: Springer
Colecția Communications in Computer and Information Science
Seria Communications in Computer and Information Science
Locul publicării:Cham, Switzerland
Cuprins
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.