Cota V.R., Barone D.A.C., Dias D.R.C., Damázio L.C.M. (eds.) Computational Neuroscience: Second Latin American Workshop

New York: Springer, 2019. — 289 p.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.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 NeuroscienceInfluence of Contact Network Topology on the Spread of TuberculosisAssociation Between Fast and Slow Learning and Molecular Processes in Repetitive Practice: A Post Hoc Analysis
Reading Span Test for Brazilian Portuguese: An Eye-Tracking ImplementationMulti-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 ApproachA Parallel RatSlam C++ Library Implementation
Method for the Improvement of Knee Angle Accuracy Based on Kinect and IMU: Preliminary Results
Eye-Tracking Data Analysis During Cognitive TaskTowards 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 StimulationOn the Validity of Using Probing Stimuli for Seizure Prediction in the Epileptor Model