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Analysis and Modeling of Coordinated Multi-neuronal Activity (Hardcover, 2015 ed.)
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Analysis and Modeling of Coordinated Multi-neuronal Activity (Hardcover, 2015 ed.)
Series: Springer Series in Computational Neuroscience, 12
Expected to ship within 12 - 17 working days
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Since information in the brain is processed by the exchange of
spikes among neurons, a study of such group dynamics is extremely
important in understanding hippocampus dependent memory. These
spike patterns and local field potentials (LFPs) have been analyzed
by various statistical methods. These studies have led to important
findings of memory information processing. For example,
memory-trace replay, a reactivation of behaviorally induced neural
patterns during subsequent sleep, has been suggested to play an
important role in memory consolidation. It has also been suggested
that a ripple/sharp wave event (one of the characteristics of LFPs
in the hippocampus) and spiking activity in the cortex have a
specific relationship that may facilitate the consolidation of
hippocampal dependent memory from the hippocampus to the cortex.
The book will provide a state-of-the-art finding of memory
information processing through the analysis of multi-neuronal data.
The first half of the book is devoted to this analysis aspect.
Understanding memory information representation and its
consolidation, however, cannot be achieved only by analyzing the
data. It is extremely important to construct a computational model
to seek an underlying mathematical principle. In other words, an
entire picture of hippocampus dependent memory system would be
elucidated through close collaboration among experiments, data
analysis, and computational modeling. Not only does computational
modeling benefit the data analysis of multi-electrode recordings,
but it also provides useful insight for future experiments and
analyses. The second half of the book will be devoted to the
computational modeling of hippocampus-dependent memory.
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