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Produktbild: Computational Neuroscience
Band 2734

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

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Beschreibung

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...

Beschreibung

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.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

29.01.2026

Abbildungen

X, 123 p. 55 illus., 53 illus. in color.

Herausgeber Alan Talevi + weitere

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

29.01.2026

Abbildungen

X, 123 p. 55 illus., 53 illus. in color.

Herausgeber
Verlag Springer
Seitenzahl

123

Maße (L/B/H)

23,5/15,5/0,8 cm

Gewicht

219 g

Sprache

Englisch

ISBN

978-3-032-14663-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Computational Neuroscience
  • .- 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.