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Neuroinformatics for Neuropsychology (Paperback, 2009 ed.)
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Neuroinformatics for Neuropsychology (Paperback, 2009 ed.)
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Bioinformatics involves specialized application of computer
technology to investigative and conceptual problems in biology and
medicine; neuroinformatics (NI) is the practice of bioinformatics
in the neurosciences. Over the past two decades the biomedical
sciences have been revolutionized by databases, data mining and
data modeling techniques. The Human Genome Project, which depended
on informatics methods, has been the most well recognized
bioinformatics undertaking. Bioinformatics has since been applied
all across biology and medicine, and has also transformed almost
every avenue in neuroscience. Yet in neuropsychology, NI
perspectives remain largely unrealized. Ironically, NI offers
enormous potential to the essential praxis of neuropsychology -
assessing cognitive behavior and relating cognition to neural
systems. Neuroinformatics can be applied to neuropsychology as
richly as it has been applied across the neurosciences.
Neuroinformatics for Neuropsychology is the first book to explain
the relevance and value of NI to neuropsychology. It systematically
describes NI tools, applications and models that can enhance the
efforts of neuropsychologists. It also describes the implications
of NI for neuropsychology in the 21st century - fundamental shifts
away from the conventional modes of research, practice and
communication that have thus far characterized the field. One of
the foremost experts on the subject: Illustrates the vital role NI
is playing throughout the neurosciences. Provides a sampling of NI
tools and applications in neuroscience research, and lays out
current organization structures that support NI. Describes the lack
of NI in neuropsychology, differentiates between NI systems for
neuropsychology and conventional computerized assessment methods,
and proposes criteria for neuropsychology-specific NI systems.
Describes NI applications and models currently in use in
neuropsychology, and NI models for neuropsychology that are being
pioneered in phenomics research. Discusses potential obstacles and
aids to NI in neuropsychology, including issues such as data
sharing, standardization of methods, and data ontology. Projects
the future of neuropsychological research and practice in light of
the new generation of the internet, Web 2.0, geared to collective
knowledge building. A vital introduction to a profound
technological practice, Neuroinformatics for Neuropsychology is
important reading for clinical neuropsychologists, cognitive
neuroscientists, behavioral neurologists, and speech-language
pathologists. Researchers, clinicians, and graduate students
interested in informatics for the brain-behavioral sciences will
especially welcome this unique volume.
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