[Comp-neuro] BOOK: Hippocampal Microcircuits: A Computational Modeller's Resource Book (2010)

Cutsuridis, Vassilis vcut at bu.edu
Tue Feb 15 22:37:58 CET 2011

Hippocampal Microcircuits: A Computational Modeller's Resource Book
Vassilis Cutsuridis,
Bruce P. Graham,
Stuart Cobb,
Imre Vida

Springer (USA), 2010

Positive reviews about our book have recently appeared in the
Frontiers in Computational Neuroscience journal by Prof. Michael Hasselmo 
(Boston U.)
and in the
Hippocampus journal by Prof. Roger D. Traub (IBM)

Description from the publisher
The hippocampus plays an indispensible role in the formation of new memories
in the mammalian brain. It is the focus of intense research and our
understanding of its physiology, anatomy, and molecular structure has
rapidly expanded in recent years. Yet, still much needs to be done to
decipher how hippocampal microcircuits are built and function. Here, we
present an overview of our current knowledge and a snapshot of ongoing
research into these microcircuits.

Rich in detail, Hippocampal Microcircuits: A Computational Modeler’s
Resource Book provides focused and easily accessible reviews on various
aspects of the theme. It is an unparalleled resource of information,
including both data and techniques that will be an invaluable companion to
all those wishing to develop computational models of hippocampal neurons and
neuronal networks.

The book is divided into two main parts. In the first part, leading
experimental neuroscientists discuss data on the electrophysiological,
neuroanatomical, and molecular characteristics of hippocampal circuits. The
various types of excitatory and inhibitory neurons are reviewed along with
their connectivity and synaptic properties. Single cell and ensemble
activity patterns are presented from in vitro models, as well as
anesthetized and freely moving animals. In the second part, computational
neuroscientists describe models of hippocampal microcircuits at various
levels of complexity, from single neurons to large-scale networks.
Additionally, a chapter is devoted to simulation environments currently used
by computational neuroscientists in developing their models.

In addition to providing concise reviews and a wealth of data, the chapters
also identify central questions and unexplored areas that will define future
research in computational neuroscience.

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