In Computational Neuroanatomy: Principles and Methods, the path-breaking investigators who founded the field review the principles and key techniques available to begin the creation of anatomically accurate and complete models of the brain.

1 Computing the Brain and the Computing Brain.- 2 Some Approaches to Quantitative Dendritic Morphology.- 3 Generation and Description of Neuronal Morphology Using L-Neuron: A Case Study.- 4 Optimal-Wiring Models of Neuroanatomy.- 5 The Modeler’s Workspace: Making Model-Based Studies of the Nervous System More Accessible.- 6 The Relationship Between Neuronal Shape and Neuronal Activity.- 7 Practical Aspects in Anatomically Accurate Simulations of Neuronal Electrophysiology.- 8 Predicting Emergent Properties of Neuronal Ensembles Using a Database of Individual Neurons.- 9 Computational Anatomical Analysis of the Basal Forebrain Corticopetal System.- 10 Architecture of Sensory Map Transformations: Axonal Tracing in Combination with 3D Reconstruction, Geometric Modeling, and Quantitative Analyses.- 11 Competition in Neuronal Morphogenesis and the Development of Nerve Connections.- 12 Axonal Navigation Through Voxel Substrates: A Strategy for Reconstructing Brain Circuitry.- 13 Principle and Applications of Diffusion Tensor Imaging: A New MRI Technique for Neuroanatomical Studies.- 14 Computational Methods for the Analysis of Brain Connectivity.- 15 Development of Columnar Structures in Visual Cortex.- 16 Multi-Level Neuron and Network Modeling in Computational Neuroanatomy.- 17 Quantitative Neurotoxicity.- 18 How the Brain Develops and How it Functions: Application of Neuroanatomical Data of the Developing Human Cerebral Cortex to Computational Models.- 19 Towards Virtual Brains.

Computer models, simulations, and visualization now offer unprecedented opportunities to obtain a deeper understanding of the complexity of nervous system structures. In Computational Neuroanatomy: Principles and Methods, the groundbreaking investigators who founded the field review the principles and key techniques available to begin the creation of anatomically accurate and complete models of the brain. Combining the vast, data-rich field of anatomy with the computational power of novel hardware, software, and computer graphics, these pioneering investigators lead the reader from the subcellular details of dendritic branching and firing to system-level assemblies and models. Their peer-reviewed articles describe the algorithms needed to generate virtual dendrites in 3D and explain the theory and practice of computing network connectivity. They also discuss the use of 3D graphics for the quantitative description of neural tissue from single neurons to regions, as well as the methods for integrating anatomy and physiology in neuronal models.
Authoritative and groundbreaking, Computational Neuroanatomy: Principles and Methods comprehensively integrates for the first time both the principles and the methods that are playing a central role in generating a complete, unitary, and functional neuroanatomical model of the brain.

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