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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 1st Edition by José Manuel Ferrández Vicente, José Ramón Álvarez Sánchez, Hojjat Adeli, Félix de la Paz López , Javier Toledo Moreo ISBN 3319597396 978-3319597393

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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 1st Edition José Manuel Ferrández Vicente Digital Instant Download

Author(s): José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Javier Toledo Moreo, Hojjat Adeli (eds.)
ISBN(s): 9783319597393, 9783319597409, 3319597396, 331959740X
Edition: 1
File Details: PDF, 55.23 MB
Year: 2017
Language: English
SKU: EB-5884552 Category: Tags: , , , ,

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 1st Edition by José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Hojjat Adeli,Félix de la Paz López , Javier Toledo Moreo – Ebook PDF Instant Download/Delivery: ‏ 3319597393,978-3319597393
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Product details:

ISBN 10: 3319597393

ISBN 13:978-3319597393
Author: José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez,Félix de la Paz López , Javier Toledo Moreo

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.

 

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 1st Table of contents:

  1. 1. Theoretical Neural Computation
  2. Robot’s and Human’s Self: A Computational Perspective
  3. A Neurologically Inspired Network Model for Graziano’s Attention Schema Theory for Consciousness
  4. Multilevel Darwinist Brain: Context Nodes in a Network Memory Inspired Long Term Memory
  5. Motivational Engine for Cognitive Robotics in Non-static Tasks
  6. 2. Models
  7. Execution of Written Tasks by a Biologically-Inspired Artificial Brain
  8. A Cognitive Architecture Framework for Critical Situation Awareness Systems
  9. A Conductance-Based Neuronal Network Model for Color Coding in the Primate Foveal Retina
  10. Simulative Models to Understand Numerical Cognition
  11. Restoration Model for Attenuated Low Spatial Frequencies in the Retinal Output
  12. Assessment and Comparison of Evolutionary Algorithms for Tuning a Bio-Inspired Retinal Model
  13. 3. Natural Computing in Bioinformatics
  14. Efficient Localization in Edge Detection by Adapting Articial Bee Colony (ABC) Algorithm
  15. Electric Vehicle Charging Scheduling Using an Artificial Bee Colony Algorithm
  16. Protein Folding Modeling with Neural Cellular Automata Using the Face-Centered Cubic Model
  17. A Memetic Algorithm for Due-Date Satisfaction in Fuzzy Job Shop Scheduling
  18. Indicator-Based Evolutionary Level Set Approximation: Mixed Mutation Strategy and Extended Analysis
  19. Genetic Algorithm for Scheduling Charging Times of Electric Vehicles Subject to Time Dependent Power Availability
  20. Simulation of a Dynamic Prey-Predator Spatial Model Based on Cellular Automata Using the Behavior of the Metaheuristic African Buffalo Optimization
  21. 4. Physiological Computing in Affective Smart Environments
  22. An Innovative Tool to Create Neurofeedback Games for ADHD Treatment
  23. Conditional Entropy Estimates for Distress Detection with EEG Signals
  24. Nonlinear Symbolic Assessment of Electroencephalographic Recordings for Negative Stress Recognition
  25. Recent Advances and Challenges in Nonlinear Characterization of Brain Dynamics for Automatic Recognition of Emotional States
  26. Towards Assistive Solutions for People with Central Vision Loss
  27. Performance of Predicting Surface Quality Model Using Softcomputing, a Comparative Study of Results
  28. 5. Emotions
  29. Temporal Dynamics of Human Emotions: An Study Combining Images and Music
  30. Memory Effect in Expressed Emotions During Long Term Group Interactions
  31. Setting the Parameters for an Accurate EEG (Electroencephalography)-Based Emotion Recognition System
  32. Exploring the Physiological Basis of Emotional HRI Using a BCI Interface
  33. 6. Signal Processing and Machine Learning Applied to Biomedical and Neuroscience Applications
  34. Preliminary Study on Unilateral Sensorineural Hearing Loss Identification via Dual-Tree Complex Wavelet Transform and Multinomial Logistic Regression
  35. On a Heavy-Tailed Intensity Normalization of the Parkinson’s Progression Markers Initiative Brain Database
  36. Case-Based Statistical Learning: A Non Parametric Implementation Applied to SPECT Images
  37. PET Image Classification Using HHT-Based Features Through Fractal Sampling
  38. A 3D Convolutional Neural Network Approach for the Diagnosis of Parkinson’s Disease
  39. Non-linear Covariance Estimation for Reconstructing Neural Activity with MEG/EEG Data
  40. Automatic Separation of Parkinsonian Patients and Control Subjects Based on the Striatal Morphology
  41. Emotion Assessment Based on Functional Connectivity Variability and Relevance Analysis
  42. MRI-Based Feature Extraction Using Supervised General Stochastic Networks in Dementia Diagnosis
  43. Influence of Population Dependent Forward Models on Distributed EEG Source Reconstruction
  44. Influence of Anisotropic Blood Vessels Modeling on EEG Source Localization
  45. Brain White Matter Lesion Segmentation with 2D/3D CNN
  46. Circadian Modulation of Sleep-Wake Dynamics Evaluated by Transition Probabilities
  47. EEG Source Imaging Based on Dynamic Sparse Coding as ADHD Biomarker
  48. Identification of Nonstationary Brain Networks Using Time-Variant Autoregressive Models
  49. Detection of EEG Dynamic Changes Due to Stimulus-Related Activity in Motor Imagery Recordings
  50. Sleep Stages Clustering Using Time and Spectral Features of EEG Signals
  51. Segment Clustering for Holter Recordings Analysis
  52. Towards a Deep Learning Model of Retina: Retinal Neural Encoding of Color Flash Patterns
  53. Backmatter

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José Manuel Ferrández Vicente,José Ramón Álvarez Sánchez,Hojjat Adeli,Artificial Computation,Neuroscience International