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Springer Handbook of Bio-/Neuroinformatics
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Editor(s):
Nikola Kasabov
Publication date
(Print):
2014
Publisher:
Springer Berlin Heidelberg
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ISBN (Print):
978-3-642-30573-3
ISBN (Electronic):
978-3-642-30574-0
Publication date (Print):
2014
DOI:
10.1007/978-3-642-30574-0
SO-VID:
a8ef768e-2144-4b6b-a86e-1a34991dba4c
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Book chapters
pp. 1
Understanding Nature Through the Symbiosis of Information Science, Bioinformatics, and Neuroinformatics
pp. 17
Information Processing at the Cellular Level: Beyond the Dogma
pp. 43
Information Processing at the Genomics Level
pp. 57
Understanding Information Processes at the Proteomics Level
pp. 73
Pattern Formation and Animal Morphogenesis
pp. 115
Exploring the Interactions and Structural Organization of Genomes
pp. 171
Protein Modeling and Structural Prediction
pp. 207
Case-Based Reasoning for Biomedical Informatics and Medicine
pp. 235
Fuzzy Logic and Rule-Based Methods in Bioinformatics
pp. 265
Protein Folding Recognition
pp. 327
Computational Methods for Analysis of Transcriptional Regulation
pp. 419
Whole-Exome Sequencing Data – Identifying Somatic Mutations
pp. 491
Dynamics of Autoimmune Diseases
pp. 501
Nutrigenomics
pp. 533
Personalized Information Modeling for Personalized Medicine
pp. 587
Information Processing in Synapses
pp. 625
Computational Modeling with Spiking Neural Networks
pp. 647
Statistical Methods for fMRI Activation and Effective Connectivity Studies
pp. 703
Understanding the Brain via fMRI Classification
pp. 715
Nonlinear Adaptive Filtering in Kernel Spaces
pp. 735
Recurrence Plots and the Analysis of Multiple Spike Trains
pp. 745
Adaptive Multiscale Time-Frequency Analysis
pp. 765
Modeling Vision with the Neocognitron
pp. 783
Information Processing in the Gustatory System
pp. 797
EEG Signal Processing for Brain–Computer Interfaces
pp. 813
Brain-like Information Processing for Spatio-Temporal Pattern Recognition
pp. 835
Neurocomputational Models of Natural Language
pp. 865
Ontologies and Machine Learning Systems
pp. 873
Integration of Large-Scale Neuroinformatics – The INCF
pp. 889
Alzheimerʼs Disease
pp. 951
A Machine Learning Pipeline for Identification of Discriminant Pathways
pp. 993
Information Methods for Predicting Risk and Outcome of Stroke
pp. 1003
sEMG Analysis for Recognition of Rehabilitation Actions
pp. 1071
Quantum and Biocomputing – Common Notions and Targets
pp. 1099
The Brain and Creativity
pp. 1111
The Allen Brain Atlas
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