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Titlebook: Computational Neuroanatomy; Principles and Metho Giorgio A. Ascoli Book 2002 Springer Science+Business Media New York 2002 Nervous System.a

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Generation and Description of Neuronal Morphology Using L-Neurone used to obtain a compact description of dendritic morphology, to provide the substrates for physiological simulations, to aid neuroscience education, and to develop novel hypotheses about dendritic structure and development. Here, we explore the use of L-Neuron to model CA 1 pyramidal cell morphol
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The Relationship Between Neuronal Shape and Neuronal Activity to quantify these effects. In electrophysiological studies, the neuroanatomy is seldom quantified, and in neuroanatomical studies electrophysiological response is rarely measured. Computational techniques have the potential of bridging the gap between electrophysiology and anatomy, and testing the
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Predicting Emergent Properties of Neuronal Ensembles Using a Database of Individual Neuronships between the physiological properties of individual neurons and their anatomical structures. We have addressed this problem by developing an approach for analyzing the relationships between structure, function, and computation within a network of neurons. We have developed a suite of visualizati
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Architecture of Sensory Map Transformationsaxonal tracing techniques were used to identify specific components of these neural systems, such as the distribution of pontine terminal fields originating in primary somatosensory cortex, and the connectivity between different auditory brain stem nuclei. Distribution of labeled axonal plexuses and
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