Computational Neuroscience

This book constitutes the refereed proceedings of the 4th Latin American Workshop, LAWCN 2023, held in Envigado, Colombia, during November 2830, 2023.

The 8 full papers and 2 short papers included in this book were carefully reviewed and selected from 50 submissions. They were organized in topical sections as follows:

artificial intelligence and machine learning; computational neuroscience; and brain-computer interfaces.

Inhalt

.- Artificial intelligence and machine learning.
.- EEG-based classification of passive pedaling speeds using SVM: a promising approach for enhancing lower limb rehabilitation technologies.
.- Data augmentation by adaptative targeted zoom for MRI brain tumor segmentation.
.- Riemannian electrocardiographic signal classification.
.- Computational neuroscience.
.- Evaluation of Wnt/-Catenin pathway modulation on CA3-CA1 synaptic plasticity model.
.- In silico application of the epsilon-greedy algorithm for frequency optimization of electrical neurostimulation for hypersynchronous disorders.
.- Fuzzy control with Central Pattern Generators for the locomotion of quadruped robotic systems.
.- Brain-Computer Interfaces.
.- Comparison of visual and kinesthetic motor imagery for upper limb activity.
.- Effect of imagery training on biomechanical aspects of a sport skill in gymnasts of the Met Chia Club.
.- Influence of delays in functional connectivity to distinguish motor imagery tasks.
.- Impact of ocular artifact removal on EEG-based color classification for locked-in syndrome BCI communication.