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IWINAC 2017: Corunna, Spain
- José Manuel Ferrández de Vicente, José Ramón Álvarez Sánchez, Félix de la Paz López
, F. Javier Toledo-Moreo, Hojjat Adeli:
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. Lecture Notes in Computer Science 10337, Springer 2017, ISBN 978-3-319-59739-3
Theoretical Neural Computation
- Ángel de la Encarnación García Baños:
Robot's and Human's Self: A Computational Perspective. 3-9 - Erik van den Boogaard, Jan Treur
A Neurologically Inspired Network Model for Graziano's Attention Schema Theory for Consciousness. 10-21 - Richard J. Duro, José Antonio Becerra
Multilevel Darwinist Brain: Context Nodes in a Network Memory Inspired Long Term Memory. 22-31 - Rodrigo Salgado, Abraham Prieto, Francisco Bellas
Motivational Engine for Cognitive Robotics in Non-static Tasks. 32-42
Models
- Sebastian Narvaez, Angel Garcia, Raul Ernesto Gutierrez:
Execution of Written Tasks by a Biologically-Inspired Artificial Brain. 45-52 - Felipe Fernández, Ángel Sánchez, José Francisco Vélez, Ana Belén Moreno
A Cognitive Architecture Framework for Critical Situation Awareness Systems. 53-62 - Pablo Martínez-Cañada
A Conductance-Based Neuronal Network Model for Color Coding in the Primate Foveal Retina. 63-74 - Michela Ponticorvo, Onofrio Gigliotta
Simulative Models to Understand Numerical Cognition. 75-84 - Adrián Arias, Eduardo Sánchez, Luis Martínez:
Restoration Model for Attenuated Low Spatial Frequencies in the Retinal Output. 85-94 - Rubén Crespo-Cano
Assessment and Comparison of Evolutionary Algorithms for Tuning a Bio-Inspired Retinal Model. 95-104
Natural Computing in Bioinformatics
- Jaime Vásquez F., Ricardo Contreras Arriagada, M. Angélica Pinninghoff Junemann:
Efficient Localization in Edge Detection by Adapting Articial Bee Colony (ABC) Algorithm. 107-114 - Jorge García-Álvarez, Miguel A. González, Camino R. Vela, Ramiro Varela
Electric Vehicle Charging Scheduling Using an Artificial Bee Colony Algorithm. 115-124 - Daniel Varela
Protein Folding Modeling with Neural Cellular Automata Using the Face-Centered Cubic Model. 125-134 - Juan José Palacios
A Memetic Algorithm for Due-Date Satisfaction in Fuzzy Job Shop Scheduling. 135-145 - Lai-Yee Liu, Vitor Basto-Fernandes
Indicator-Based Evolutionary Level Set Approximation: Mixed Mutation Strategy and Extended Analysis. 146-159 - Carlos Mencía
Genetic Algorithm for Scheduling Charging Times of Electric Vehicles Subject to Time Dependent Power Availability. 160-169 - Boris Almonacid
Simulation of a Dynamic Prey-Predator Spatial Model Based on Cellular Automata Using the Behavior of the Metaheuristic African Buffalo Optimization. 170-180
Physiological Computing in Affective Smart Environments
- Miguel A. Teruel, Elena Navarro
An Innovative Tool to Create Neurofeedback Games for ADHD Treatment. 183-192 - Beatriz García-Martínez, Arturo Martínez-Rodrigo
Conditional Entropy Estimates for Distress Detection with EEG Signals. 193-202 - Beatriz García-Martínez, Arturo Martínez-Rodrigo
Nonlinear Symbolic Assessment of Electroencephalographic Recordings for Negative Stress Recognition. 203-212 - Raúl Alcaraz
Recent Advances and Challenges in Nonlinear Characterization of Brain Dynamics for Automatic Recognition of Emotional States. 213-222 - Marina V. Sokolova
Towards Assistive Solutions for People with Central Vision Loss. 223-232 - Víctor Flores, Maritza Correa
Performance of Predicting Surface Quality Model Using Softcomputing, a Comparative Study of Results. 233-242
Emotions
- M. D. Grima Murcia
Temporal Dynamics of Human Emotions: An Study Combining Images and Music. 245-253 - Roman Gorbunov, Emilia I. Barakova
Memory Effect in Expressed Emotions During Long Term Group Interactions. 254-264 - Jennifer Sorinas, M. D. Grima Murcia
Setting the Parameters for an Accurate EEG (Electroencephalography)-Based Emotion Recognition System. 265-273 - Mikel Val-Calvo, M. D. Grima Murcia
Exploring the Physiological Basis of Emotional HRI Using a BCI Interface. 274-285
Signal Processing and Machine Learning Applied to Biomedical and Neuroscience Applications
- Shuihua Wang
Preliminary Study on Unilateral Sensorineural Hearing Loss Identification via Dual-Tree Complex Wavelet Transform and Multinomial Logistic Regression. 289-297 - Diego Castillo-Barnes
On a Heavy-Tailed Intensity Normalization of the Parkinson's Progression Markers Initiative Brain Database. 298-304 - Juan Manuel Górriz, Javier Ramírez
Case-Based Statistical Learning: A Non Parametric Implementation Applied to SPECT Images. 305-313 - Andrés Ortiz
PET Image Classification Using HHT-Based Features Through Fractal Sampling. 314-323 - Francisco Jesús Martínez-Murcia
A 3D Convolutional Neural Network Approach for the Diagnosis of Parkinson's Disease. 324-333 - Leonardo Duque-Muñoz
Non-linear Covariance Estimation for Reconstructing Neural Activity with MEG/EEG Data. 334-344 - Fermín Segovia
Automatic Separation of Parkinsonian Patients and Control Subjects Based on the Striatal Morphology. 345-352 - Cristian A. Torres-Valencia
Emotion Assessment Based on Functional Connectivity Variability and Relevance Analysis. 353-362 - Diego Fabian Collazos-Huertas
MRI-Based Feature Extraction Using Supervised General Stochastic Networks in Dementia Diagnosis. 363-373 - E. Cuartas-Morales, Y. R. Céspedes-Villar, Juan David Martínez-Vargas, L. F. Arteaga-Daza, César Germán Castellanos-Domínguez:
Influence of Population Dependent Forward Models on Distributed EEG Source Reconstruction. 374-383 - E. Cuartas-Morales, Angel Torrado-Carvajal
Influence of Anisotropic Blood Vessels Modeling on EEG Source Localization. 384-393 - Asier López-Zorrilla, Mikel de Velasco-Vázquez
Brain White Matter Lesion Segmentation with 2D/3D CNN. 394-403 - L. F. Perez-Atencio, Nicolás García Aracil, Eduardo Fernández
Circadian Modulation of Sleep-Wake Dynamics Evaluated by Transition Probabilities. 404-415 - Fily Mateos Grisales-Franco, J. M. Medina-Salcedo, D. M. Ovalle-Martínez, Juan David Martínez-Vargas, Daniel Guillermo García-Murillo, Germán Castellanos-Domínguez:
EEG Source Imaging Based on Dynamic Sparse Coding as ADHD Biomarker. 416-425 - Juan David Martínez-Vargas, José David López, Felipe Rendón-Castrillón, Gregor Strobbe, Pieter van Mierlo, Germán Castellanos-Domínguez, Diana Ovalle-Martínez:
Identification of Nonstationary Brain Networks Using Time-Variant Autoregressive Models. 426-434 - Luisa Fernanda Velásquez-Martínez, Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez:
Detection of EEG Dynamic Changes Due to Stimulus-Related Activity in Motor Imagery Recordings. 435-443 - José Luis Rodríguez-Sotelo
Sleep Stages Clustering Using Time and Spectral Features of EEG Signals - An Unsupervised Approach. 444-455 - José Luis Rodríguez-Sotelo
Segment Clustering for Holter Recordings Analysis. 456-463 - Antonio Lozano, F. Javier Garrigós
Towards a Deep Learning Model of Retina: Retinal Neural Encoding of Color Flash Patterns. 464-472
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