Memory, attention, and decision-making are three
major areas of psychology. They are frequently studied
in isolation, and using a range of models to understand
them. This book brings a unified approach to
understanding these three processes. It shows how these
fundamental functions for cognitive neuroscience can be
understood in a common and unifying computational
neuroscience framework. This framework links empirical
research on brain function from neurophysiology,
functional neuroimaging, and the effects of brain
damage, to a description of how neural networks in the
brain implement these functions using a set of common
principles. The book describes the principles of
operation of these networks, and how they could
implement such important functions as memory, attention,
and decision-making.
The topics covered include
The hippocampus and memory Reward and
punishment related learning: emotion and motivation
Visual object recognition learning Short term
memory Attention, short term memory, and biased
competition Probabilistic decision-making Action
selection Decision-making
Also included are
tutorial appendices on
Neural networks in the
brain Neural encoding in the brain
'Memory,
Attention and Decision-Making' will be valuable for
those in the fields of neuroscience, psychology, and
cognitive neuroscience from advanced undergraduate level
upwards. It will also be of interest to those interested
in neuroeconomics, animal behaviour, zoology,
evolutionary biology, psychiatry, medicine, and
philosophy. The book has been written with modular
chapters and sections, making it possible to select
particular Chapters for course work.
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