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.
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.
