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 Feature Detectors, Topography and Modularity Maximum a Posteriori Models for Cortical Modeling.
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Feature Detectors, Topography and Modularity Maximum a Posteriori Models for Cortical Modeling.

издательство Книга по Требованию Локальные и корпоративные сети
Cтраниц 112        мягкая обложка       
Аннотация:Another highlight is the demonstration of a high adaptability of model structures to the environment. Sections 1, Introduction, and 2, The Cortex, comprise biological foundations about the cortex: its areas and their mutual connectivity, cell layers and the mechanisms which govern the development of neural connections. These data supply the goal of modeling as well as the motivation for the methods which are used. In this work it is demonstrated that using a sparsely coded Boltzmann machine, neurons emerge which have localized and orientation selective receptive fields like those observed in primary visual cortex. This thesis shows in a top-down modeling approach that unsupervised learning rules of neural networks can account for the development of cortical neural connections. Either parallelly or hierarchically organized modules will arise as an appropriate adaptation to the organization of the training data set. Sections 3, Theory, and 4, Models, describe the theory and how to derive models from it. Section 5 presents Results, and section 6, a Discussion.
Издательство: Книга по Требованию
Год:2008
Цена:
2007 руб
Нет в наличии
Поиск: Feature Detectors, Topography and Modularity Maximum a Posteriori Models for Cortical Modeling.
НОВЫЙ ГОД СИМВОЛ 2013 ГОДАУКРАШЕНИЯ
КАРНАВАЛ НА НОВЫЙ ГОД РАСПРОДАЖА
Ортомолекулярная медицина Orthomol Устрание причин заболеваний. Ортомоль это новый метод для лечения и профилактики болезней. Orthomol - ортомолекулярная медицина.
Спецификация каркаса информационной системы с распределенной...

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