Springer Handbook of Bio-/Neuroinformatics

1. Understanding Nature Through the Symbiosis of Information Science, Bioinformatics, and Neuroinformatics
Nikola Kasabov

Part A. Understanding Information Processes in Biological Systems

2. Information Processing at the Cellular Level: Beyond the Dogma
Alberto Riva

3. Dielectrophoresis: Integrated Approaches for Understanding the Cell
Takeshi Yamakawa, Hiroko Imasato

4. Information Processing at the Genomics Level
Alvin T. Kho, Hongye Liu

5. Understanding Information Processes at the Proteomics Level
Shaojun Dai, Sixue Chen

6. Pattern Formation and Animal Morphogenesis
Michael G. Paulin

7. Understanding Evolving Bacterial Colonies
Leonie Z. Pipe

Part B. Molecular Biology, Genome and Proteome Informatics

8. Exploring the Interactions and Structural Organization of Genomes
Grant H. Jacobs

9. Detecting MicroRNA Signatures Using Gene Expression Analysis
Stijn van Dongen, Anton J. Enright

10. Bioinformatic Methods to Discover Cis-regulatory Elements in mRNAs
Stewart G. Stevens, Chris M. Brown

11. Protein Modeling and Structural Prediction
Sebastian Kelm, Yoonjoo Choi, Charlotte M. Deane

Part C. Machine Learning Methods for the Analysis, Modeling and Knowledge Discovery from Bioinformatics Data

12. Machine Learning Methodology in Bioinformatics
Colin Campbell

13. Case-Based Reasoning for Biomedical Informatics and Medicine
Periklis Andritsos, Igor Jurisica, Janice I. Glasgow

14. Analysis of Multiple DNA Microarray Datasets
Veselka Boeva, Elena Tsiporkova, Elena Kostadinova

15. Fuzzy Logic and Rule-Based Methods in Bioinformatics
Lipo Wang, Feng Chu, Wei Xie

16. Phylogenetic Cladograms: Tools for Analyzing Biomedical Data
Mones S. Abu-Asab, Jim DeLeo

17. Protein Folding Recognition
Lavneet Singh, Girija Chetty

18. Kernel Methods and Applications in Bioinformatics
Yan Fu

Part D. Modeling Regulatory Networks: The Systems Biology Approach

19. Path Finding in Biological Networks
Lore Cloots, Dries De Maeyer, Kathleen Marchal

20. Inferring Transcription Networks from Data
Alexandru G. Floares, Irina Luludachi

21. Computational Methods for Analysis of Transcriptional Regulation
Yue Fan, Mark Kon, Charles DeLisi

22. Inferring Genetic Networks with a Recurrent Neural Network Model Using Differential Evolution
Nasimul Noman, Leon Palafox, Hitoshi Iba

23. Structural Pattern Discovery in Protein–Protein Interaction Networks
Tamás Nepusz, Alberto Paccanaro

24. Molecular Networks – Representation and Analysis
Miguel A. Hernandez-Prieto, Ravi K.R. Kalathur, Matthias E. Futschik

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

Part E. Bioinformatics Databases and Ontologies

26. Biological Databases
Mario Cannataro, Pietro H. Guzzi, Giuseppe Tradigo, Pierangelo Veltri

27. Ontologies for Bioinformatics
Andrea Splendiani, Michele Donato, Sorin Drăghici

Part F. Bioinformatics in Medicine, Health and Ecology

28. Statistical Signal Processing for Cancer Stem Cell Formation
Monica F. Bugallo, Petar M. Djurić

29. Epigenetics
Micaela Montanari, Marcella Macaluso, Antonio Giordano

30. Dynamics of Autoimmune Diseases
Hyeygjeon Chang, Alessandro Astolfi

31. Nutrigenomics
Hylde Zirpoli, Mariella Caputo, Mario F. Tecce

32. Bioinformatics and Nanotechnologies: Nanomedicine
Federico Ambrogi, Danila Coradini, Niccolò Bassani, Patrizia Boracchi, Elia M. Biganzoli

33. Personalized Information Modeling for Personalized Medicine
Yingjie Hu, Nikola Kasabov, Wen Liang

34. Health Informatics
David Parry

35. Ecological Informatics for the Prediction and Management of Invasive Species
Susan P. Worner, Muriel Gevrey, Takayoshi Ikeda, Gwenaël Leday, Joel Pitt, Stefan Schliebs, Snjezana Soltic

Part G. Understanding Information Processes in the Brain and the Nervous System

36. Information Processing in Synapses
Hiroshi Kojima

37. Computational Modeling with Spiking Neural Networks
Stefan Schliebs, Nikola Kasabov

38. Statistical Methods for fMRI Activation and Effective Connectivity Studies
Xingfeng Li, Damien Coyle, Liam Maguire, T. Martin McGinnity

39. Neural Circuit Models and Neuropathological Oscillations
Damien Coyle, Basabdatta S. Bhattacharya, Xin Zou, KongFatt Wong-Lin, Kamal Abuhassan, Liam Maguire

40. Understanding the Brain via fMRI Classification
Lavneet Singh, Girija Chetty

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, José C. Príncipe

42. Recurrence Plots and the Analysis of Multiple Spike Trains
Yoshito Hirata, Eric J. Lang, Kazuyuki Aihara

43. Adaptive Multiscale Time-Frequency Analysis
Naveed ur Rehman, David Looney, Cheolsoo Park, Danilo P. Mandic

Part I. Information Modeling of Perception, Sensation and Cognition

44. Modeling Vision with the Neocognitron
Kunihiko Fukushima

45. Information Processing in the Gustatory System
Alexandra E. DʼAgostino, Patricia M. Di Lorenzo

46. EEG Signal Processing for Brain–Computer Interfaces
Petia Georgieva, Filipe Silva, Mariofanna Milanova, Nikola Kasabov

47. Brain-like Information Processing for Spatio-Temporal Pattern Recognition
Nikola Kasabov

48. Neurocomputational Models of Natural Language
Alistair Knott

Part J. Neuroinformatics Databases and Ontologies

49. Ontologies and Machine Learning Systems
Shoba Tegginmath, Russel Pears, Nikola Kasabov

50. Integration of Large-Scale Neuroinformatics – The INCF
Raphael Ritz, Shiro Usui

Part K. Information Modeling for Understanding and Curing Brain Diseases

51. Alzheimerʼs Disease
Reinhard Schliebs

52. Integrating Data for Modeling Biological Complexity
Sally Hunter, Carol Brayne

53. A Machine Learning Pipeline for Identification of Discriminant Pathways
Annalisa Barla, Giuseppe Jurman, Roberto Visintainer, Margherita Squillario, Michele Filosi, Samantha Riccadonna, Cesare Furlanello

54. Computational Neurogenetic Modeling: Gene-Dependent Dynamics of Cortex and Idiopathic Epilepsy
Lubica Benuskova, Nikola Kasabov

55. Information Methods for Predicting Risk and Outcome of Stroke
Wen Liang, Rita Krishnamurthi, Nikola Kasabov, Valery Feigin

56. sEMG Analysis for Recognition of Rehabilitation Actions
Qingling Li, Zeng-Guang Hou, Yu Song

Part L. Nature Inspired Integrated Information Technologies

57. Brain-Like Robotics
Richard J. Duro, Francisco Bellas, José A. Becerra Permuy

58. Developmental Learning for User Activities
Xiao Huang, Juyang Weng, Zhengyou Zhang

59. Quantum and Biocomputing – Common Notions and Targets
Mika Hirvensalo

60. Brain, Gene, and Quantum Inspired Computational Intelligence
Nikola Kasabov

61. The Brain and Creativity
Francesco C. Morabito, Giuseppe Morabito, Matteo Cacciola, Gianluigi Occhiuto

62. The Allen Brain Atlas
Michael Hawrylycz, Lydia Ng, David Feng, Susan Sunkin, Aaron Szafer, Chinh Dang

Nyckelord: Engineering, Computational Intelligence, Artificial Intelligence (incl. Robotics), Bioinformatics, Computational Biology/Bioinformatics, Neurosciences, Biomedical Engineering