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Computational Neuroscience

5th Latin American Workshop, LAWCN 2025, La Plata, Argentina, November 12–14, 2025, Revised...

Alan Talevi Vinicius Rosa Cota

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English
Springer Nature Switzerland AG
29 January 2026
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.
Edited by:   ,
Imprint:   Springer Nature Switzerland AG
Country of Publication:   Switzerland
Dimensions:   Height: 235mm,  Width: 155mm, 
ISBN:   9783032146632
ISBN 10:   3032146631
Series:   Communications in Computer and Information Science
Pages:   123
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Further / Higher Education ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
.- 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.

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