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Advances in Brain Inspired Cognitive Systems

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Cover of 'Advances in Brain Inspired Cognitive Systems'

Table of Contents

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    Book Overview
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    Chapter 1 An Improved Recurrent Network for Online Equality-Constrained Quadratic Programming
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    Chapter 2 Towards Robot Self-consciousness (I): Brain-Inspired Robot Mirror Neuron System Model and Its Application in Mirror Self-recognition
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    Chapter 3 Implementation of EEG Emotion Recognition System Based on Hierarchical Convolutional Neural Networks
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    Chapter 4 Can Machine Generate Traditional Chinese Poetry? A Feigenbaum Test
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    Chapter 5 Decoding Visual Stimuli in Human Brain by Using Anatomical Pattern Analysis on fMRI Images
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    Chapter 6 An Investigation of Machine Learning and Neural Computation Paradigms in the Design of Clinical Decision Support Systems (CDSSs)
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    Chapter 7 A Retina Inspired Model for High Dynamic Range Image Rendering
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    Chapter 8 Autoencoders with Drop Strategy
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    Chapter 9 Detecting Rare Visual and Auditory Events from EEG Using Pairwise-Comparison Neural Networks
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    Chapter 10 Compressing Deep Neural Network for Facial Landmarks Detection
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    Chapter 11 Learning Optimal Seeds for Salient Object Detection
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    Chapter 12 A Spiking Neural Network Based Autonomous Reinforcement Learning Model and Its Application in Decision Making
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    Chapter 13 Classification of Spatiotemporal Events Based on Random Forest
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    Chapter 14 Visual Attention Model with a Novel Learning Strategy and Its Application to Target Detection from SAR Images
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    Chapter 15 Modified Cat Swarm Optimization for Clustering
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    Chapter 16 Deep and Sparse Learning in Speech and Language Processing: An Overview
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    Chapter 17 Time-Course EEG Spectrum Evidence for Music Key Perception and Emotional Effects
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    Chapter 18 A Possible Neural Circuit for Decision Making and Its Learning Process
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    Chapter 19 A SVM-Based EEG Signal Analysis: An Auxiliary Therapy for Tinnitus
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    Chapter 20 Passive BCI Based on Sustained Attention Detection: An fNIRS Study
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    Chapter 21 Incremental Learning Vector Quantization for Character Recognition with Local Style Consistency
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    Chapter 22 A Novel Fully Automated Liver and HCC Tumor Segmentation System Using Morphological Operations
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    Chapter 23 A New Biologically-Inspired Analytical Worm Propagation Model for Mobile Unstructured Peer-to-Peer Networks
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    Chapter 24 EEG Brain Functional Connectivity Dynamic Evolution Model: A Study via Wavelet Coherence
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    Chapter 25 Predicting Insulin Resistance in Children Using a Machine-Learning-Based Clinical Decision Support System
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    Chapter 26 An Ontological Framework of Semantic Learner Profile in an E-Learning System
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    Chapter 27 Incremental PCANet: A Lifelong Learning Framework to Achieve the Plasticity of both Feature and Classifier Constructions
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    Chapter 28 PerSent: A Freely Available Persian Sentiment Lexicon
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    Chapter 29 Low-Rank Image Set Representation and Classification
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    Chapter 30 A Data Driven Approach to Audiovisual Speech Mapping
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    Chapter 31 Continuous Time Recurrent Neural Network Model of Recurrent Collaterals in the Hippocampus CA3 Region
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    Chapter 32 Sparse-Network Based Framework for Detecting the Overlapping Community Structure of Brain Functional Network
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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