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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Cota, Vinícius Rosa (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Barone, Dante Augusto Couto (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Dias, Diego Roberto Colombo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Damázio, Laila Cristina Moreira (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Communications in Computer and Information Science, 1068
• Θέματα: Artificial intelligence.; Optical data processing.; Architecture, Computer.; Database management.; Artificial Intelligence.; Image Processing and Computer Vision.; Computer System Implementation.; Database Management.

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 pap...

Πίνακας περιεχομένων:

• 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.