Verfügbarkeit: Springer handbook of bio-/neuro-informatics

Springer handbook of bio-/neuro-informatics:

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Format:	Buch
Sprache:	English
Veröffentlicht:	Berlin Springer [2014]
Schlagworte:	Neuroinformatik Bioinformatik
Online-Zugang:	Inhaltstext Inhaltsverzeichnis
Beschreibung:	LVIII, 1230 Seiten Illustrationen, Diagramme
ISBN:	9783642305733

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Datensatz im Suchindex

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adam_text	of Bio-/Neuro-lnformatics Nikola Kasabov (Ed ) With A90 Figures and 92 Tables / / / ^ Springer XX) Contents List of Abbreviations XLVll 1 Understanding Nature Through the Symbiosis of Information Science, Bioinformatics, and Neuroinformatics Nikola Kasabov 1 1 1 Nature as the Ultimate Inspiration and Target for Science 1 1 2 Information Science (IS) 3 1 3 Bioinformatics 7 1 4 Neuroinformatics 9 1 5 About the Handbook 11 1 6 Conclusion 12 References 12 Part A Understanding Information Processes in Biological Systems 2 Information Processing at the Cellular Level: Beyond the Dogma Alberto Riva 17 2 1 Fundamentals 18 2 2 The Cell Factory 21 2 3 Intracellular and Extracellular Signaling 25 2 4 Conclusions 27 Further Reading 27 3 Dielectrophoresis: Integrated Approaches for Understanding the Cell Takeshi Yamakawa, Hiroko Imasato 29 3 1 Complex Permittivity as Bioinformation 30 3 2 Dielectrophoresis (DEP) 30 3 3 Separation of Blood Cells 34 3 4 Estimation of the DEP Force 37 3 5 Conclusions 41 References 41 4 Information Processing at the Genomics Level Alvin T Kho, Hongye Liu 43 4 1 Characterizing a Biological System State, the Central Dogma of Molecular Biology, and the Advent of Bioinformatics 44 4 2 High-Throughput Gene Expression Measurement Principles and Technologies 45 XXXII Contents 4 3 Typical Workflow in Generic Transcriptomic Data Analysis 46 4 4 Data Representation and Visualization 46 4 5 Noise and Normalization 49 4 6 Identifying Coherent Mathematical Patterns: Technical/Statistical False Positives 51 4 7 General Strategies to Minimize Biological False Positives 52 4 8 Generalizations and Conclusion 53 References 54 5 Understanding Information Processes at the Proteomics Level Shaojun Dai, Sixue Chen 57 5 1 Genetic Information Transfer from DNA to Protein by Transcription and Translation 57 5 2 Protein Information Processing by Translational and Posttranslational Control 61 5 3 High-Throughput Platforms for Protein Separation and Characterization 62 5 4 Quantitative Proteomics and Posttranslational Proteomics 66 5 5 Summary and Future Perspectives 70 References 71 6 Pattern Formation and Animal Morphogenesis Michael G Paulin 73 6 1 Historical Overview 74 6 2 Models 76 6 3 Where Patterns Come From 80 6 4 Evolution and Development of Morphology 84 6 5 Genes and Development 88 6 6 Discussion and Future 90 References 91 7 Understanding Evolving Bacterial Colonies Leonie Z Pipe 93 7 1 Lessons Learned from Experiment 94 7 2 Which Modeling Approach Should I Use? 98 7 3 Modeling Morphology Transitions in Bacterial Colonies 99 7 4 Dynamics of Bacterial Diffusion 101 7 5 Modeling Ring Formations in Colonies of Proteus mirabilis and B subtilis 103 7 6 Modeling Arrays and Aggregates 104 7 7 Limitations of Bacterial Colony Growth Models 106 7 8 Recent Trends and Future Directions 107 References 110 Contents XXXII Part B Molecular Biology, Genome and Proteome Informatics 8 Exploring the Interactions and Structural Organization of Genomes Grant H Jacobs 115 8 1 The Structure of Chromosomes, Genomes, and Nuclei 115 8 2 Testing for Interacting Chromatin Using Chromosome Conformation Capture 118 8 3 Processing Chromosome Conformation Capture Sequence Data 122 8 4 Calculating Genomic Loci Proximity or Interaction Data 123 8 5 Interpreting the Data 125 8 6 Future Prospects 126 References 127 9 Detecting MicroRNA Signatures Using Gene Expression Analysis Stijn van Dongen, Anton J Enright 129 9 1 Background 130 9 2 Enrichment Analysis 132 9 3 Existing Enrichment Methodologies 136 9 4 Sylamer: A Tool for miRNA Seed Enrichment Analysis 138 9 5 Using Sylamer and Related Tools 141 9 6 Use of Sylamer on Real Biological Examples 144 9 7 Conclusions 148 References 148 10 Bioinformatic Methods to Discover Cis-regulatory Elements in mRNAs Stewart G Stevens, Chris M Brown 151 10 1 The Importance of C/'s-regulatory Elements in mRNAs 151 10 2 Searching for C/'s-regulatory Elements Using Bioinformatics 153 10 3 Obtaining High-Quality mRNA Sequence Data to Analyze 156 10 4 Known Regulatory Elements 157 10 5 De Novo Element Discovery 159 10 6 Combinatorial Methods 164 10 7 Conclusions and Future Prospects 165 References 165 11 Protein Modeling and Structural Prediction Sebastian Kelm, Yoonjoo Choi, Charlotte M Deane 171 11 1 Proteins 171 11 2 Protein Structure 172 11 3 Protein Sequence 174 11 4 Computational Protein Structure Prediction 175 References 180 XXXIV Contents Part C Machine Learning Methods for the Analysis, Modeling and Knowledge Discovery from Bioinformatics Data 12 Machine Learning Methodology in Bioinformatics Colin Campbell 185 12 1 Supervised Learning 186 12 2 Unsupervised Learning 195 12 3 Conclusions 203 References 204 13 Case-Based Reasoning for Biomedical Informatics and Medicine Periklis Andritsos, Igor Jurisica, Janice I Glasgow 207 13 1 Case-Based Reasoning 208 13 2 Feature Selection for CBR 210 13 3 Case-Based Reasoning Systems 211 13 4 Case-Based Reasoning in Biomedicine 214 13 5 Conclusions 218 References 219 14 Analysis of Multiple DNA Microarray Datasets Veselka Boeva, Elena Tsiporkova, Elena Kostadinova 223 14 1 Rationale 223 14 2 Data and Methods 224 14 3 Results and Discussion 229 14 4 Conclusions 233 References 233 15 Fuzzy Logic and Rule-Based Methods in Bioinformatics Lipo Wang, Feng Chu, Wei Xie 235 15 1 Overview 236 15 2 Fuzzy Neural Network: Structure and Training 236 15 3 Ranking Importance of Genes for Feature Selection 238 15 4 Demonstration with Benchmarking Data 238 15 5 Additional Fuzzy and Rule-Based Approaches 240 15 6 Fuzzy and Rule-Based Approaches to Clustering and Prediction in Microarray Data 241 15 7 Summary and Discussion 242 References 243 16 Phylogenetic Cladograms: Tools for Analyzing Biomedical Data Mones S Abu-Asab, Jim DeLeo 247 16 1 On Intelligence 248 16 2 Computational Intelligence and Cladograms 250 16 3 Computational Intelligence: A Conciliatory View 250 16 4 Heterogeneity Within Biological Data 251 16 5 Statistical Methods and Heterogeneity 254 16 6 The Phenetic Versus the Phylogenetic Approaches to Analysis 254 Contents XXX' 16 7 Phylogenetics: Biologically Compatible Computational Intelligence Tools 255 16 8 Analyzing, Modeling, and Mining Biological Data 257 16 9 Applications of Parsimony to Various Biomedical Issues 259 16 10 Implications of Applying Parsimony Phylogenetics 260 16 11 Closing Thoughts 261 References 262 17 Protein Folding Recognition Lavneet Singh, Oirija Chetty 265 17 1 Protein Folding Recognition Problem 266 17 2 Protein Database and Its Features 268 17 3 Feature Selection and Classification 269 17 4 Illustrative Experiments 271 17 5 Exemplar Results 271 17 6 Conclusions and Future Work 272 References 272 18 Kernel Methods and Applications in Bioinformatics Yan Fu 275 18 1 Kernel Functions 276 18 2 Support Vector Machines 278 18 3 Applications of Kernel Methods to Bioinformatics 280 18 4 Conclusions 283 References 283 Part D Modeling Regulatory Networks: The Systems Biology Approach 19 Path Finding in Biological Networks Lore Cloots, Dries De Maeyer, Kathleen Marchal 289 19 1 Background 289 19 2 Inferring Interaction Networks from Omics Data 290 19 3 Using Interaction Networks to Interpret Functional Data 294 19 4 Conclusion 304 References 304 20 Inferring Transcription Networks from Data Alexandru Floares, Irina Luludachi 311 20 1 Introduction and Background 311 20 2 The Dynomics and Regulomics of Transcription Networks 312 20 3 The GP R0DES Algorithm 315 20 4 Results 319 20 5 Conclusion 325 References 326 XXXVI Contents 21 Computational Methods for Analysis of Transcriptional Regulation Yue Fan, Mark Kon, Charles DeLisi 327 21 1 Background 327 21 2 Binding Motif Discovery Algorithms 329 21 3 Binding Site Identification 337 21 4 Target Gene Identification and Construction of the Gene Regulatory Network (GRN) 340 21 5 Machine Learning Approaches 344 21 6 Conclusions 349 References 349 22 Inferring Genetic Networks with a Recurrent Neural Network Model Using Differential Evolution Nasimul Noman, Leon Palafox, Hitoshi Iba 355 22 1 Background and History 355 22 2 Modeling Approaches to Gene Regulatory Networks 356 22 3 Recurrent Neural Network Model for GRN 357 22 4 Relevant Research on GRN Reconstruction Using RNN 359 22 5 A Modified DE Algorithm for Inferring GRN with RNN 359 22 6 Reconstruction Experiments 363 22 7 Conclusion 370 References 371 23 Structural Pattern Discovery in Protein-Protein Interaction Networks Tamas Nepusz, Alberto Paccanaro 375 23 1 Detecting Protein Complexes from Protein-Protein Interaction Networks 376 23 2 Random Graph Models for Protein-Protein Interaction Networks 386 23 3 Conclusions 395 References 395 24 Molecular Networks - Representation and Analysis Miguel A Hernandez-Prieto, Ravi K R Kalathur, Matthias E Futschik 399 24 1 Overview 399 24 2 Transcriptional Regulatory Networks in Prokaryotes 401 24 3 Protein Interaction Networks in Humans 406 24 4 Current Challenges and Future Directions 412 References 413 25 Whole-Exome Sequencing Data - Identifying Somatic Mutations Roberta Spinelli, Rocco Piazza, Alessandra Pirola, Simona Valletta, Roberta Rostagno, Angela Mogavero, Manuela Marega, Hima Raman, Carlo Gambacorti-Passerini 419 25 1 Materials and Methods 420 25 2 Results 424 25 3 Summary and Future Prospects 425 References 426 Contents XXXV Part E Bioinformatics Databases and Ontologies 26 Biological Databases Mario Cannataro, Pietro H Guzzi, Giuseppe Tradigo, Pierangelo Veltri 431 26 1 Sequence Databases 432 26 2 Structure Databases 433 26 3 Interactomics Databases 435 26 4 Proteomics Databases 437 26 5 Conclusions 438 References 439 27 Ontologies for Bioinformatics Andrea Splendiani, Michele Donato, Sorin Draghici 441 27 1 Defining Ontology 441 27 2 Brief History of the Use of Ontologies in Bioinformatics 444 27 3 Languages and Systems to Represent Ontologies 445 27 4 Overview of Ontologies in Bioinformatics 448 27 5 Use of Ontologies in Bioinformatics 454 27 6 Beyond Ontologies 460 References 461 Part F Bioinformatics in Medicine, Health and Ecology 28 Statistical Signal Processing for Cancer Stem Cell Formation Monica F Bugailo, Petar M Djuric 465 28 1 The Biological Problem 466 28 2 The Model 467 28 3 The Forward Problem 468 28 4 The Inverse Problem 471 28 5 Conclusions 474 References 474 29 Epigenetics Micaela Montanari, Marceiia Macaiuso, Antonio Giordano 477 29 1 DNA Methylation 478 29 2 DNA Methylation and Cancer 480 29 3 Histone Modifications 482 29 4 Epigenetics and Cancer Therapy 484 29 5 Conclusions 485 References 485 30 Dynamics of Autoimmune Diseases Hyeygjeon Chang, Alessandro Astoifi 491 30 1 Overview of Systemic Lupus Erythematosus 492 30 2 Disease Model with Control Input 493 XXXVIII Contents 30 3 Control Procedure and Computer Simulations 496 30 4 Conclusions 498 References 499 31 Nutrigenomics Hylde Zirpoli, Marietta Caputo, Mario F Tecce 501 31 1 Overview 501 31 2 Effects of Bioactive Nutrients on Gene Expression 503 31 3 Effect of Bioactive Nutrients on Metabolite Profiling 506 31 4 Bioactive Effect of Nutrients on Protein Expression 508 31 5 Systems Biology and Bioinformatics Tools 510 31 6 Conclusions and Future Perspectives 511 References 511 32 Bioinformatics and Nanotechnologies: Nanomedicine Federico Ambrogi, Danila Coradini, Niccoid Bassani, Patrizia Boracchi, Elia M Biganzoli 517 32 1 Background 517 32 2 Biostatistics Supporting Bioinformatics for Biomarker Discovery 519 32 3 Nanotechnology in Human Healthcare 525 32 4 Discussion 528 References 529 33 Personalized Information Modeling for Personalized Medicine Yingjie Hu, Nikola Kasabov, Wen Liang 533 33 1 Medical Data Analysis 533 33 2 Global, Local, and Personalized Modeling Approaches 536 33 3 A Methodology to Build a Personalized Modeling System 541 33 4 An Integrated Optimization Method for Implementing a PMS 542 33 5 Experiment 546 33 6 Conclusion and Future Development of Personalized Modeling Systems 550 References 552 34 Health Informatics David Parry 555 34 1 Healthcare 555 34 2 Clinical Uses of Information 558 34 3 Computational Intelligence in Health Informatics 562 34 4 Conclusion 562 References 562 35 Ecological Informatics for the Prediction and Management of Invasive Species Susan P Worner, Muriel Gevrey, Takayoshi Ikeda, Gwenael Leday, Joel Pitt, Stefan Schliebs, Snjezana Soltic 565 35 1 The Invasive Species Problem 565 35 2 Predicting and Prioritizing Species - Self-Organizing Maps (S0MS) 566 Contents XXXI) 35 3 Species Distribution Models 569 35 4 Individual-Based Models 576 35 5 Conclusions 580 References 581 Part G Understanding Information Processes in the Brain and the Nervous System 36 Information Processing in Synapses Hiroshi Kojima 587 36 1 General View of Synaptic Transmission 588 36 2 Structure of the Synapse 589 36 3 Physiology of Synaptic Transmission (Presynaptic Site) 594 36 4 Physiology of Synaptic Transmission (Postsynaptic Site) 603 36 5 Integration of Synaptic Transmission 610 36 A Summary of the Techniques Used for Investigation of Synaptic Functions 618 References 620 37 Computational Modeling with Spiking Neural Networks Stefan Schliebs, Nikola Kasabov 625 37 1 Neurons and Brain 625 37 2 Models of Spiking Neurons 627 37 3 Neural Encoding 635 37 4 Learning in SNN 636 37 5 Applications of SNN 639 37 6 Evolving Spiking Neural Network Architecture 639 References 643 38 Statistical Methods for fMRI Activation and Effective Connectivity Studies Xingfeng Li, Damien Coyle, Liam Maguire, T Martin McOinnity 647 38 1 Functional Magnetic Resonance Imaging 648 38 2 GLM for Activation Detection 649 38 3 General Linear Mixed Model for Activation Detection (Second-Level Data Analysis) 654 38 4 Effective Connectivity 657 38 5 Conclusions and Future Directions 668 References 669 39 Neural Circuit Models and Neuropathological Oscillations Damien Coyle, Basabdatta S Bhattacharya, Xin Zou, KongFatt Wong-Lin, Kamal Abuhassan, Liam Maguire 673 39 1 Modeling Neural Circuits at Multiple Scales 674 39 2 Alzheimer's Disease and Abnormal Brain Oscillations 677 39 3 A Biophysical Model to Study Hippocampal Theta Rhythms in AD 678 XL Contents 39 4 Neural Population Models to Study Cortical Rhythms in AD 682 39 5 A Neural Mass Model to Study Thalamocortical Alpha Rhythms in AD 687 39 6 Discussion and Conclusion 694 39 A Appendix 694 References 697 40 Understanding the Brain via fMRI Classification Lavneet Singh, Girija Chetty 703 40 1 Magnetic Resonance Imaging (MRI) 703 40 2 Background 704 40 3 Materials and Methods 705 40 4 Feature Selection 706 40 5 Classification Using Various Classifiers 707 40 6 Experimental Results 708 40 7 Conclusions and Further Work 709 References 710 Part H Advanced Signal Processing Methods for Brain Signal Analysis and Modeling 41 Nonlinear Adaptive Filtering in Kernel Spaces Badong Chen, Lin Li, Weifeng Liu, Jose C Principe 715 41 1 Overview 715 41 2 Kernel Least Mean Squares 718 41 3 Application Examples 726 41 4 Conclusion 732 References 733 42 Recurrence Plots and the Analysis of Multiple Spike Trains Yoshito Hirata, Eric J Lang, Kazuyuki Aihara 735 42 1 Overview 735 42 2 Recurrence Plots 736 42 3 Univariate Analysis Using Recurrence Plots 737 42 4 Multivariate Analysis Using Recurrence Plots 739 42 5 Distances Between Spike Trains 740 42 6 Examples 741 42 7 Discussion 743 42 8 Conclusions 743 References 744 43 Adaptive Multiscale Time-Frequency Analysis Naveed ur Rehman, David Looney, Cheolsoo Park, Danilo P Mandic 745 43 1 Data Driven Time Frequency Analysis 745 43 2 Empirical Mode Decomposition 746 43 3 Multivariate Extensions of EMD 748 Contents XLI 43 4 Addressing the Problem of Nonuniqueness Through the Mode-Alignment Property of MEMD 754 43 5 Filter Bank Property of MEMD and Noise-Assisted MEMD 756 43 6 Applications 758 43 7 Discussion and Conclusions 760 References 761 Part I Information Modeling of Perception, Sensation and Cognition 44 Modeling Vision with the Neocognitron Kunihiko Fukushima 765 44 1 Overview 765 44 2 Outline of the Network 766 44 3 Principles of Robust Recognition 768 44 4 S-cells 770 44 5 C-Cells 776 44 6 The Highest Stage 777 44 7 Networks Extended from the Neocognitron 779 References 781 45 Information Processing in the Gustatory System Alexandra E D'Agostino, Patricia M Di Lorenzo 783 45 1 Neural Coding of Sensory Information - General Concepts 783 45 2 The Peripheral Gustatory System 785 45 3 Taste Processing in the Brainstem 786 References 793 46 EEG Signal Processing for Brain-Computer Interfaces Petia Georgieva, Filipe Silva, Mariofanna Milanova, Nikola Kasabov 797 46 1 Overview 797 46 2 BCI Technologies 798 46 3 EEG-Based BCI 799 46 4 BCI Mobile Robot Control - IEETA Case Study 802 46 5 Source-Based BCI 805 46 6 Conclusions 811 References 811 47 Brain-like Information Processing for Spatio-Temporal Pattern Recognition Nikola Kasabov 813 47 1 Spatio and Spectro-Temporal Data Modeling and Pattern Recognition 813 47 2 Single Spiking Neuron Models 816 47 3 Learning and Memory in a Spiking Neuron 818 47 4 STPR in a Single Neuron 820 XLII Contents 47 5 Evolving Spiking Neural Networks 822 47 6 Computational Neurogenetic Models (CNGM) 825 47 7 SNN Software and Hardware Implementations to Support STPR 827 47 8 Current and Future Applications of eSNN and CNGM for STPR 828 References 830 48 Neurocomputational Models of Natural Language Alistair Knott 835 48 1 Phonological Representations and Processing 836 48 2 Lexical Representations and Processes 840 48 3 Sentence-Sized Semantic Representations 845 48 4 Syntactic Representations and Processes 851 48 5 Summary 857 References 857 Part J Neuroinformatics Databases and Ontologies 49 Ontologies and Machine Learning Systems Shoba Tegginmath, Russel Pears, Nikola Kasabov 865 49 1 Ontology in Computer Science 865 49 2 Ontologies in Bio- and Neuroinformatics 865 49 3 Data Mining Specific Ontologies 868 49 4 Discussion and Future Work 870 49 5 Summary 871 References 871 50 Integration of Large-Scale Neuroinformatics - The INCF Raphael Ritz, Shiro Usui 873 50 1 Neuroinformatics: A Megascience Issue Calling for Concerted Global Actions 873 50 2 Building Up of the INCF Organization 876 50 3 INCF Scientific Programs 877 50 4 INCF Neuroinformatics Portal 881 50 5 INCF Global Network: National Neuroinformatics Nodes 882 50 6 Educational and Outreach Activities 883 50 7 Looking Ahead 884 50 8 Concluding Remarks 884 Part K Information Modeling for Understanding and Curing Brain Diseases 51 Alzheimer's Disease Reinhard Schliebs 889 51 1 Alzheimer's Disease 890 51 2 Cholinergic Dysfunction in Alzheimer's Disease 891 Contents XLIII 51 3 APP Metabolism and Its Regulation by Cholinergic Mechanisms 893 51 4 Modulation of Cholinergic Function by A/J 897 51 5 Tau and Cholinergic Transmission 900 51 6 Neurovascular Function in AD 901 51 7 Interrelationship of Amyloid, Cholinergic Dysfunction, and Brain Vascular Impairments 904 51 8 Computational Modeling of the AD Brain 906 51 9 General Conclusion: Mutual Interactions of Cholinergic, A/S, and Vascular Pathologies 909 References 910 52 Integrating Data for Modeling Biological Complexity Sally Hunter, Carol Brayne 921 52 1 Overview of the Brain 921 52 2 Identifying and Mapping the Interactions of APP 923 52 3 The Amyloid Precursor Protein 924 52 4 APP Proteolytic Processing 928 52 5 Integrating the Data So Far 936 52 6 Summary 939 References 940 53 A Machine Learning Pipeline for Identification of Discriminant Pathways Annalisa Barla, Giuseppe Jurman, Roberto Visintainer, Margherita Squillario, Michele Filosi, Samantha Riccadonna, Cesare Furlanello 951 53 1 From Gene Profiling to Pathway Profiling 951 53 2 Methods 952 53 3 Experimental Setup 953 53 4 Data Description 955 53 5 Experimental Results 956 53 6 Conclusion 966 References 966 54 Computational Neurogenetic Modeling: Gene-Dependent Dynamics of Cortex and Idiopathic Epilepsy Lubica Benuskova, Nikola Kasabov 969 54 1 Overview 969 54 2 Gene Expression Regulation 974 54 3 Computational Neurogenetic Model 975 54 4 Dynamics of the Model 979 54 5 Results of Computer Simulations 981 54 6 Discussion and Future Directions 984 References 988 XLIV Contents 55 Information Methods for Predicting Risk and Outcome of Stroke 1/1/en Liang, Rita Krishnamurthi, Nikola Kasabov, Valery Feigin 993 55 1 Background 993 55 2 Literature Review 994 55 3 Conclusion 999 References 999 56 sEMG Analysis for Recognition of Rehabilitation Actions Qingling Li, Zeng-Guang Hou, Yu Song 1003 56 1 Overview 1003 56 2 What Is sEMG? 1004 56 3 sEMG Analysis Method 1006 56 4 sEMG Analysis for Rehabilitation Action Recognition 1009 56 5 Conclusion 1015 References 1016 Part L Nature Inspired Integrated Information Technologies 57 Brain-Like Robotics Richard J Duro, Francisco Bellas, Jose A Becerra Permuy 1019 57 1 Natural and Artificial Brains 1019 57 2 Models of the Brain 1021 57 3 Cognitive Robotics 1024 57 4 Some Key Areas 1039 57 5 Cognitive Robotic Platforms and Research Projects 1047 57 6 Concluding Remarks 1048 References 1049 58 Developmental Learning for User Activities Xiao Huang , Juyang Weng , Zhengyou Zhang 1057 58 1 Overview 1057 58 2 System Overview and Challenges 1060 58 3 System Architecture 1061 58 4 Experimental Results 1066 58 5 Summary and Discussion 1069 References 1069 59 Quantum and Biocomputing - Common Notions and Targets Mika Hirvensalo 1071 59 1 Overview 1071 59 2 Biomolecular and Quantum Parallelism 1072 59 3 Quantum Computing Preliminaries 1074 59 4 Quantum Algorithms 1078 59 5 Biological Applications of Quantum Computing 1080 References 1081 Contents XLV 60 Brain, Gene, and Quantum Inspired Computational Intelligence Nikola Kasabov 1083 60 1 Levels of Information Processing in the Brain 1084 60 2 CI and ANN Models Inspired by Neuronal and Cognitive Processes in the Brain 1085 60 3 Gene Inspired Methods of Computational Intelligence 1088 60 4 Computational Neurogenetic Models 1090 60 5 Quantum Inspired CI 1093 60 6 Towards the Integration of Brain, Gene, and Quantum Information Processing Principles: A Conceptual Framework for Future Research 1094 60 7 Conclusions and Directions for Further Research 1096 References 1096 61 The Brain and Creativity Francesco C Morabito, Giuseppe Morabito, Matteo Cacciola, Gianluigi Occhiuto 1099 61 1 Creativity and Perception of Art 1099 61 2 Picture Complexity Metrics 1100 61 3 Artistic Complexity and the Brain 1101 61 4 Quantitative Measure of Complexity 1102 61 5 Artistic Complexity of Paintings 1103 61 6 Saliency Maps of Paintings 1107 61 7 Concluding Remarks 1108 References 1108 62 The Allen Brain Atlas Michael Hawrylycz, Lydia Ng, David Feng, Susan Sunkin, Aaron Szafer, Chinh Dang 1111 62 1 The Portal 1111 62 2 Mouse Atlas Resources 1112 62 3 Human and Non-Human Primate Atlas Resources 1120 62 4 Beyond the Atlases 1124 62 5 Conclusions 1125 References 1125 Glossary 1127 Acknowledgements 1139 About the Authors 1143 Detailed Contents 1171 Subject Index 1201
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id	DE-604.BV040666918
illustrated	Illustrated
indexdate	2024-09-06T00:24:51Z
institution	BVB
isbn	9783642305733
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-025493563
oclc_num	864555868
open_access_boolean
owner	DE-11 DE-355 DE-BY-UBR DE-29T DE-473 DE-BY-UBG DE-12
owner_facet	DE-11 DE-355 DE-BY-UBR DE-29T DE-473 DE-BY-UBG DE-12
physical	LVIII, 1230 Seiten Illustrationen, Diagramme
publishDate	2014
publishDateSearch	2014
publishDateSort	2014
publisher	Springer
record_format	marc
spelling	Springer handbook of bio-/neuro-informatics Nikoloa Kasabov (ed.) Handbook of bio-/neuro-informatics Berlin Springer [2014] 2014 LVIII, 1230 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Neuroinformatik (DE-588)4655105-0 gnd rswk-swf Bioinformatik (DE-588)4611085-9 gnd rswk-swf Bioinformatik (DE-588)4611085-9 s Neuroinformatik (DE-588)4655105-0 s DE-604 Kasabov, Nikola K. 1948- Sonstige (DE-588)120156016 oth Erscheint auch als Online-Ausgabe 978-3-642-30574-0 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=4056805&prov=M&dok_var=1&dok_ext=htm Inhaltstext HEBIS Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025493563&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Springer handbook of bio-/neuro-informatics Neuroinformatik (DE-588)4655105-0 gnd Bioinformatik (DE-588)4611085-9 gnd
subject_GND	(DE-588)4655105-0 (DE-588)4611085-9
title	Springer handbook of bio-/neuro-informatics
title_alt	Handbook of bio-/neuro-informatics
title_auth	Springer handbook of bio-/neuro-informatics
title_exact_search	Springer handbook of bio-/neuro-informatics
title_full	Springer handbook of bio-/neuro-informatics Nikoloa Kasabov (ed.)
title_fullStr	Springer handbook of bio-/neuro-informatics Nikoloa Kasabov (ed.)
title_full_unstemmed	Springer handbook of bio-/neuro-informatics Nikoloa Kasabov (ed.)
title_short	Springer handbook of bio-/neuro-informatics
title_sort	springer handbook of bio neuro informatics
topic	Neuroinformatik (DE-588)4655105-0 gnd Bioinformatik (DE-588)4611085-9 gnd
topic_facet	Neuroinformatik Bioinformatik
url	http://deposit.dnb.de/cgi-bin/dokserv?id=4056805&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025493563&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT kasabovnikolak springerhandbookofbioneuroinformatics AT kasabovnikolak handbookofbioneuroinformatics

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