Brain Function Assessment in Learning : First International Conference, BFAL 2017, Patras, Greece, September 24-25, 2017, Proceedings /
Autor Corporativo: | |
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Otros Autores: | , |
Formato: | eBook |
Lenguaje: | English |
Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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Edición: | 1st ed. 2017. |
Colección: | Lecture Notes in Artificial Intelligence ;
10512 |
Materias: |
Tabla de Contenidos:
- Affective Learning: Principles, Technologies, Practice
- Understanding How Learning Takes Place with Neuroscience and Applying the Results to Education
- Intelligent Control and Cognitive Control: Issues and Challenges
- Tracing and Enhancing Serendipitous Learning with Viewpoints
- Online Brain Training Programs for Healthy Older Individuals
- Evaluating Active Learning Methods for Bankruptcy Prediction
- A Prognosis of Junior High School Students' Performance Based on Active Learning Methods
- The Effects of Working Memory Training on Cognitive Flexibility in Man
- Computers Cannot Learn the Way Humans Do
- Partly, Because They Do Not Sleep
- Modeling Animal Brains with Evolutive Cognitive Schemas
- Neural Knowledge Tracing
- Game Experience and Brain Based Assessment of Motivational Goal Orientations in Video Games
- Real-time Brain Assessment for Adaptive Virtual Reality Game: A Neurofeedback Approach
- Event-Related Brain Potentials from Pictures Relevant to Science Education
- Real-time Spindles Detection for Acoustic Neurofeedback
- Examining the Efficiency of Feedback Types in a Virtual Reality Educational Environment for Learning Search Algorithms
- Virtual Sophrologist: A Virtual Reality Neurofeedback Relaxation Training System
- Different Frequency-Dependent Properties Between Dorsal and Ventral Hippocampal Synapses
- Using Electroencephalograms to Interpret and Monitor the Emotions
- The Long Lasting Effect of Neonatal Handling on mGluR5 and Arc mRNA Levels in Medial Prefrontal Cortex of Rat Brain
- Escalating Low-dose Treatment in Adolescence Induces Spatial Memory Deficits in Adulthood
- Performance Comparisons of Classifiers Applied to Electroencephalogram Signals
- Quadcopter Control Based on Electroencephalogram Headset and Hybrid Fuzzy Classifier
- Support Vector Machine Approaches with Features Selection to Detect Cognitive States from Brain Images
- Support Vector Machine Optimized by Artificial Bee Colony Applied to EEG Pattern Recognition. .