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Natural and Artificial Computation for Biomedicine and Neuroscience

International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Corunna, Spain, June 19-23, 2017, Proceedings, Part I

Conference proceedings info: IWINAC 2017.

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Table of contents (46 papers)

  1. Front Matter

    Pages I-XXII
  2. Theoretical Neural Computation

    1. Front Matter

      Pages 1-1
    2. Robot’s and Human’s Self: A Computational Perspective

      • Ángel de la Encarnación García Baños
      Pages 3-9
    3. Multilevel Darwinist Brain: Context Nodes in a Network Memory Inspired Long Term Memory

      • Richard J. Duro, Jose A. Becerra, Juan Monroy, Luis Calvo
      Pages 22-31
    4. Motivational Engine for Cognitive Robotics in Non-static Tasks

      • Rodrigo Salgado, Abraham Prieto, Francisco Bellas, Richard J. Duro
      Pages 32-42
  3. Models

    1. Front Matter

      Pages 43-43
    2. Execution of Written Tasks by a Biologically-Inspired Artificial Brain

      • Sebastian Narvaez, Angel Garcia, Raul Ernesto Gutierrez
      Pages 45-52
    3. A Cognitive Architecture Framework for Critical Situation Awareness Systems

      • Felipe Fernandez, Angel Sanchez, Jose F. Velez, Belen Moreno
      Pages 53-62
    4. A Conductance-Based Neuronal Network Model for Color Coding in the Primate Foveal Retina

      • Pablo Martínez-Cañada, Christian Morillas, Francisco Pelayo
      Pages 63-74
    5. Simulative Models to Understand Numerical Cognition

      • Michela Ponticorvo, Onofrio Gigliotta, Orazio Miglino
      Pages 75-84
    6. Restoration Model for Attenuated Low Spatial Frequencies in the Retinal Output

      • Adrián Arias, Eduardo Sánchez, Luis Martínez
      Pages 85-94
    7. Assessment and Comparison of Evolutionary Algorithms for Tuning a Bio-Inspired Retinal Model

      • Rubén Crespo-Cano, Antonio Martínez-Álvarez, Sergio Cuenca-Asensi, Eduardo Fernández
      Pages 95-104
  4. Natural Computing in Bioinformatics

    1. Front Matter

      Pages 105-105
    2. Efficient Localization in Edge Detection by Adapting Articial Bee Colony (ABC) Algorithm

      • Jaime Vásquez F., Ricardo Contreras A., M. Angélica Pinninghoff J.
      Pages 107-114
    3. Electric Vehicle Charging Scheduling Using an Artificial Bee Colony Algorithm

      • Jorge García-Álvarez, Miguel A. González, Camino R. Vela, Ramiro Varela
      Pages 115-124
    4. A Memetic Algorithm for Due-Date Satisfaction in Fuzzy Job Shop Scheduling

      • Juan José Palacios, Camino R. Vela, Inés González-Rodríguez, Jorge Puente
      Pages 135-145
    5. Indicator-Based Evolutionary Level Set Approximation: Mixed Mutation Strategy and Extended Analysis

      • Lai-Yee Liu, Vitor Basto-Fernandes, Iryna Yevseyeva, Joost Kok, Michael Emmerich
      Pages 146-159
    6. Genetic Algorithm for Scheduling Charging Times of Electric Vehicles Subject to Time Dependent Power Availability

      • Carlos Mencía, María R. Sierra, Raúl Mencía, Ramiro Varela
      Pages 160-169

Other Volumes

  1. Natural and Artificial Computation for Biomedicine and Neuroscience

About this book

The two volumes LNCS 10337 and 10338 constitute the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, held in Corunna, Spain, in June 2017.

The total of 102 full papers was carefully reviewed and selected from 194 submissions during two rounds of reviewing and improvement. The papers are organized in two volumes, one on natural and artificial computation for biomedicine and neuroscience, addressing topics such as theoretical neural computation; models; natural computing in bioinformatics; physiological computing in affective smart environments; emotions; as well as signal processing and machine learning applied to biomedical and neuroscience applications.

The second volume deals with biomedical applications, based on natural and artificial computing and addresses topics such as biomedical applications; mobile brain computer interaction; human robot interaction; deep learning; machine learning applied to big data analysis; computational intelligence in data coding and transmission; and applications.

Editors and Affiliations

  • Departamento de Electrónica, Tecnología de Computadoras y Proyectos, Universidad Politécnica de Cartagena, Cartagena, Spain

    José Manuel Ferrández Vicente, Javier Toledo Moreo

  • Departamento de Inteligencia Articial, Universidad Nacional de Educación a Distancia, Madrid, Spain

    José Ramón Álvarez-Sánchez, Félix de la Paz López

  • The Ohio State University, Columbus, USA

    Hojjat Adeli

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access