Computational Neuroscience

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

AvAlan Talevi,Vinicius Rosa Cota

Häftad, Engelska, 2026

Del 2734 i serien Communications in Computer and Information Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2026-01-29
Mått:155 x 235 x 8 mm
Vikt:219 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:123
Förlag:Springer Nature Switzerland AG
ISBN:9783032146632

Utforska kategorier

Tillämpad datateknik inom Data och IT
Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

.- 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.