Computational Neuroscience
Description
This book constitutes the refereed proceedings of the 5th Latin American Workshop, LAWCN 2025, held in La Plata, Argentina, during November 12-14, 2025.
The 6 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 11 submissions. They were organized in the follwing topical sections as follows: Artificial Intelligence and Machine Learning; and Neuroengineering.
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Content
.- Artificial Intelligence and Machine Learning .
.- Multimodal Physiological Signal Statistical Analysis and Random Forest Classification for Epileptic Seizure Detection.
.- Detection of Epileptogenic Patterns in Thalamic Neurostimulated Signals through Spatial Deep Attention.
.- In Silico Screening to Identify Metabotropic Glutamate Receptor 1 Allosteric Modulators Using Ensemble Learning.
.- A Comparative Analysis of ANN, TabNet and FT-Transformer models in EEG Classification of Neuropsychiatric Disorders.
.- Computational and Experimental Approaches for the Discovery of New Anticonvulsant Drugs.
.- Application of Machine Learning in Drug Repurposing of a New Antiseizure Drugs Active in the PTZ Kindling Model.
.- Neuroengineering .
.- Design and Development of a Functional Prototype of an Upper-Limb Exoskeleton for Neurorehabilitation Assistance.
.- An Inverted Perspective for the Reference Electrode and a Heuristic Metric for Spectra-Temporal Mapping of EEG Signals Aiming at Motor-Imagery Classification.
.- Beyond Full Electrode Arrays: Optimizing Channel Selection for Motor Imagery BCIs via Individual Channel Classifiers and Ensembles.
.- Hemispheric-Specific Coupling Improves Modeling of Functional Connectivity Using Wilson-Cowan Dynamics.