Computational Neuroscience
Mostrando 13-21 de 21 artigos, teses e dissertações.
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13. Modelação do processamento neuronal primário no sistema visual de mamíferos. / Modelling the primary neural processing in mammal s visual system.
Since the discovery of the receptive field properties of cortical neurons in the primary visual cortex, their organization has been studied with many methods ranging from electrophysiology and optical imaging to computational neuroscience. Few models have been capable of showing ocularity and orientation selectivity simultaneously. A large-scale computationa
Publicado em: 2001
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14. Neural codes: Firing rates and beyond
Computational neuroscience has contributed significantly to our understanding of higher brain function by combining experimental neurobiology, psychophysics, modeling, and mathematical analysis. This article reviews recent advances in a key area: neural coding and information processing. It is shown that synapses are capable of supporting computations b
The National Academy of Sciences of the USA.
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15. ModelDB: an environment for running and storing computational models and their results applied to neuroscience.
Research groups within the Human Brain Project are developing technologies to help organize and make accessible the vast quantities of information being accumulated in the neurosciences. The goal of this work is to provide systems that enable this complex information from many diverse sources to be synthesized into a coherent theory of nervous system functio
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16. Towards NeuroML: model description methods for collaborative modelling in neuroscience.
Biological nervous systems and the mechanisms underlying their operation exhibit astonishing complexity. Computational models of these systems have been correspondingly complex. As these models become ever more sophisticated, they become increasingly difficult to define, comprehend, manage and communicate. Consequently, for scientific understanding of biolog
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17. Agrammatic but numerate
A central question in cognitive neuroscience concerns the extent to which language enables other higher cognitive functions. In the case of mathematics, the resources of the language faculty, both lexical and syntactic, have been claimed to be important for exact calculation, and some functional brain imaging studies have shown that calculation is associated
National Academy of Sciences.
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18. The role of presynaptic activity in monocular deprivation: Comparison of homosynaptic and heterosynaptic mechanisms
Although investigations in computational neuroscience have been extensive, the opportunity (that has made such a marked difference in physical sciences) to test detailed and subtle quantitative consequences of a theory against experimental results is rare. In this paper, we outline a testable consequence of two contrasting theories of synaptic plasticity app
The National Academy of Sciences.
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19. Characterizing functional hippocampal pathways in a brain-based device as it solves a spatial memory task
Analyzing neural dynamics underlying complex behavior is a major challenge in systems neurobiology. To meet this challenge through computational neuroscience, we have constructed a brain-based device (Darwin X) that interacts with a real environment, and whose behavior is guided by a simulated nervous system incorporating detailed aspects of the anatomy and
National Academy of Sciences.
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20. Generation, description and storage of dendritic morphology data.
It is generally assumed that the variability of neuronal morphology has an important effect on both the connectivity and the activity of the nervous system, but this effect has not been thoroughly investigated. Neuroanatomical archives represent a crucial tool to explore structure-function relationships in the brain. We are developing computational tools to
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21. Neuromorphic hardware databases for exploring structure-function relationships in the brain.
Neuromorphic hardware is the term used to describe full custom-designed integrated circuits, or silicon 'chips', that are the product of neuromorphic engineering--a methodology for the synthesis of biologically inspired elements and systems, such as individual neurons, retinae, cochleas, oculomotor systems and central pattern generators. We focus on the impl