Computational Neuroanatomy

"...a useful addition to major neuroscience libraries." -Neuroradiology

• 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.