Springer handbook of bio-/neuro-informatics:
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| Format: | Book |
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| Language: | English |
| Published: |
Berlin
Springer
[2014]
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| Subjects: | |
| Online Access: | Inhaltstext Inhaltsverzeichnis |
| Physical Description: | LVIII, 1230 Seiten Illustrationen, Diagramme |
| ISBN: | 9783642305733 |
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| 245 | 1 | 0 | |a Springer handbook of bio-/neuro-informatics |c Nikoloa Kasabov (ed.) |
| 246 | 1 | 3 | |a Handbook of bio-/neuro-informatics |
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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 |
| any_adam_object | 1 |
| author_GND | (DE-588)120156016 |
| building | Verbundindex |
| bvnumber | BV040666918 |
| classification_rvk | ST 640 WC 4900 WC 7700 |
| ctrlnum | (OCoLC)864555868 (DE-599)DNB1023292459 |
| dewey-full | 570.285 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 570 - Biology |
| dewey-raw | 570.285 |
| dewey-search | 570.285 |
| dewey-sort | 3570.285 |
| dewey-tens | 570 - Biology |
| discipline | Biologie Informatik |
| format | Book |
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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 |
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