Titlebook: On the Construction of Artificial Brains; Ulrich Ramacher,Christoph Malsburg Book 20101st edition Springer-Verlag Berlin Heidelberg 2010 E

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Nets for Feature Recognition, applied. At each grid node, the vector of the pulse response of the 12 output neurons of the respective detectors is recorded. A further grid with 18 ×22 nodes and 12 detector levels just covers a face, which is chosen for reference (Figure 7.1 mid), and is moved over the fine-grain larger net.

Highbrow

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d interdisciplinary and introductory book on artificial brai.This book presents a first generation of artificial brains, using vision as sample application. An object recognition system is built, using neurons and synapses as exclusive building elements. The system contains a feature pyramid with 8

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Prologue,mputer. With its flexible, autonomous action and its ability to acquire, structure, index and coordinate world knowledge, our brain is vastly superior to any artificial system. In addition, it shouldn’t be forgotten that the human brain is the source of all formal systems and algorithms. And althoug

anatomical

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倒轉(zhuǎn)

Theory of Nets with Constant or Dynamic Synapses,sation of a stationary frequency of distribution. For larger networks, however, the simulation time exceeds our human patience, hence a theoretic coverage is necessary. As the constant synapses form a special case, the development of a generic theory of nets with dynamic synapses becomes necessary.

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BROTH

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