Lecture Notes in Artificial Intelligence

Machine Learning and Interpretation in Neuroimaging

International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Contributions

Editors: Langs, G., Rish, I., Grosse-Wentrup, M., Murphy, B. (Eds.)

  • State-of-the-art contributions
  • Interdisciplinary research
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About this book

Brain imaging brings together the technology, methodology, research questions and approaches of a wide range of scientific fields including physics, statistics, computer science, neuroscience, biology, and engineering. Thus, methodological and technological advances that enable us to obtain measurements, examine relationships across observations, and link these data to neuroscientific hypotheses happen in a highly interdisciplinary environment. The dynamic field of machine learning with its modern approach to data mining provides many relevant approaches for neuroscience and enables the exploration of open questions. This state-of-the-art survey offers a collection of papers from the Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2011, held at the 25th Annual Conference on Neural Information Processing, NIPS 2011, in the Sierra Nevada, Spain, in December 2011. Additionally, invited speakers agreed to contribute reviews on various aspects of the field, adding breadth and perspective to the volume. The 32 revised papers were carefully selected from 48 submissions. At the interface between machine learning and neuroimaging the papers aim at shedding some light on the state of the art in this interdisciplinary field. They are organized in topical sections on coding and decoding, neuroscience, dynamcis, connectivity, and probabilistic models and machine learning.

Table of contents (32 chapters)

  • A Comparative Study of Algorithms for Intra- and Inter-subjects fMRI Decoding

    Michel, Vincent (et al.)

    Pages 1-8

  • Beyond Brain Reading: Randomized Sparsity and Clustering to Simultaneously Predict and Identify

    Gramfort, Alexandre (et al.)

    Pages 9-16

  • Searchlight Based Feature Extraction

    Jamshy, Shahar (et al.)

    Pages 17-25

  • Looking Outside the Searchlight

    Etzel, Joset A. (et al.)

    Pages 26-33

  • Population Codes Representing Musical Timbre for High-Level fMRI Categorization of Music Genres

    Casey, Michael (et al.)

    Pages 34-41

Buy this book

eBook $54.99
price for USA (gross)
  • ISBN 978-3-642-34713-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $72.00
price for USA
  • ISBN 978-3-642-34712-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning and Interpretation in Neuroimaging
Book Subtitle
International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Contributions
Editors
  • Georg Langs
  • Irina Rish
  • Moritz Grosse-Wentrup
  • Brian Murphy
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
7263
Copyright
2012
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-34713-9
DOI
10.1007/978-3-642-34713-9
Softcover ISBN
978-3-642-34712-2
Edition Number
1
Number of Pages
XIV, 266
Number of Illustrations and Tables
83 b/w illustrations
Topics