EAN: 9783642347122

MACHINE LEARNING AND INTERPRETATION IN NEUROIMA...

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.

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