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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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楼主: 驼峰
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Development of Columnar Structures in Visual Cortexal activity have inspired several different computational models. In this chapter, we focus on what can be explained by models based on the idea of optimizing a trade-off between coverage and continuity, in particular, the elastic net (EN).
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Computing the Brain and the Computing Brainapters of the book. The long-tersm end result of the collective effort by researchers in computational neuroanatomy and neuroscience at large will be a comprehensive structural and functional model of the brain. Such a model might have deep implications for scientific understanding as well as technological development.
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Users Manual for the Design Code, here turn out to include candidates for some of the most complex biological structures known to be derivable purely from simple physical energy minimization processes. Part of the functional role of such fine-tuned wiring optimization may be as a compact strategy for generating self-organizing complex neuroanatomical systems.
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Optimal-Wiring Models of Neuroanatomy here turn out to include candidates for some of the most complex biological structures known to be derivable purely from simple physical energy minimization processes. Part of the functional role of such fine-tuned wiring optimization may be as a compact strategy for generating self-organizing complex neuroanatomical systems.
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Book 2002putational 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.
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st, 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.978-1-61737-297-1978-1-59259-275-3
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Frances Bauer,Paul Garabedian,Antony Jamesonides specific insights into neuronal structure and suggests possible avenues to improve the algorithm Finally, we show how a remarkably accurate and complete spatial description of CA1 pyramidal cell dendritic morphology can be obtained from dendrograms by the addition of a very restricted number of model parameters.
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https://doi.org/10.1007/978-4-431-55025-9 of neuronal shape’s effect on neuronal function and describe the computational techniques and approaches used in these studies. We stress the need for developing a set of metrics that can quantify morphological shape and electrophysiological response and for including morphology in both experimental and simulation studies.
发表于 2025-3-26 18:30:22 | 显示全部楼层
Generation and Description of Neuronal Morphology Using L-Neuronides specific insights into neuronal structure and suggests possible avenues to improve the algorithm Finally, we show how a remarkably accurate and complete spatial description of CA1 pyramidal cell dendritic morphology can be obtained from dendrograms by the addition of a very restricted number of model parameters.
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