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Ascoli G. Computational Neuroanatomy: Principles and Methods

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Ascoli G. Computational Neuroanatomy: Principles and Methods
Humana Press Inc., 2002. — 484 p.
Neuroanatomy constitutes a central aspect of neuroscience, and the continuous growth of affordable computer power makes it possible to model and integrate the enormous complexity of neuroanatomy. It is not surprising that computational neuroanatomy research projects are stirring considerable interest in the scientific community. Computational Neuroanatomy: Principles and Methods is the first comprehensive volume discussing the principles and describing the methods of computational approaches to neuroanatomy.
Книга написана большим коллективом авторов под руководством одного редактора. Методы и принципы описываемые в книге находятся на стыке дисциплин - биоинформатики, медицины, гистологии и анатомии. Но основная информация все же больше характеризует морфологию микромира с позиций математики. Будет полезна аспирантам, магистрантам и студентам, занимающимся изучением количественных характеристик ЦНС.
Contents:
Preface.
Contributors.
ntroduction.
Computing the Brain and the Computing Brain.
Giorgio A. Ascoli.
Part I.
Some Approaches to Quantitative Dendritic Morphology.
Robert E. Burke and William B. Marks.
Generation and Description of Neuronal Morphology Using L-Neuron.
A Case Study.
Duncan E. Donohue, Ruggero Scorcioni, and Giorgio A. Ascoli.
Optimal-Wiring Models of Neuroanatomy.
Christopher Cherniak, Zekeria Mokhtarzada, and Uri Nodelman.
The Modeler's Workspace.
Making Model-Based Studies of the Nervous System More Accessible.
Michael Hucka, Kavita Shankar, David Beeman, and James M. Bower.
The Relationship Between Neuronal Shape and Neuronal Activity.
Jeffrey L. Krichmar and Slawomir J. Nasuto.
Practical Aspects in Anatomically Accurate Simulations.
of Neuronal Electrophysiology.
Maciej T. Lazarewicz, Sybrand Boer-Iwema, and Giorgio A. Ascoli.
Part II.
Predicting Emergent Properties of Neuronal Ensembles Using a Database.
of Individual Neurons.
Gwen A. Jacobs and Colin S. Pittendrigh.
Contents.
Computational Anatomical Analysis.
of the Basal Forebrain Corticopetal System.
Laszlo Zaborszky, Attila Csordas, Derek L. Buhl, Alvaro Duque,
Jozsef Somogyi, and Zoltan Nadasdy.
Architecture of Sensory Map Transformations.
Axonal Tracing in Combination with 3D Reconstruction,
Geometric Modeling, and Quantitative Analyses.
Trygve B. Leergaard and Jan G. Bjaalie.
Competition in Neuronal Morphogenesis.
and the Development of Nerve Connections.
Arjen van Ooyen and Jaap van Pelt.
Axonal Navigation Through Voxel Substrates.
A Strategy for Reconstructing Brain Circuitry.
Stephen L. Senft.
Principle and Applications of Diffusion Tensor Imaging.
A New MRI Technique for Neuroanatomical Studies.
Susumu Mori.
Part III.
Computational Methods for the Analysis of Brain Connectivity.
Claus C. Hilgetag, Rolf Kötter, Klaas E. Stephan, and Olaf Sporns.
Development of Columnar Structures in Visual Cortex.
Miguel Á. Carreira-Perpiñán and Geoffrey J. Goodhill.
Multi-Level Neuron and Network Modeling in Computational Neuroanatomy.
Rolf Kötter, Pernille Nielsen, Jonas Dyhrfjeld-Johnsen,
Friedrich T. Sommer, and Georg Northoff.
Quantitative Neurotoxicity.
David S. Lester, Joseph P. Hanig, and P. Scott Pine.
How the Brain Develops and How it Functions.
Application of Neuroanatomical Data.
of the Developing Human Cerebral Cortex to Computational Models.
William Rodman Shankle, Junko Hara, James H. Fallon,
and Benjamin Harrison Landing.
Towards Virtual Brains.
Alexei Samsonovich and Giorgio A. Ascoli.
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