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Titlebook: New Trends in Neural Computation; International Worksh José Mira,Joan Cabestany,Alberto Prieto Conference proceedings 1993 Springer-Verlag

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Francisco J. Lopez Aligué,Ma Isabel Acevedo Sotoca,Miguel A. Jaramillo Moran
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978-3-540-56798-1Springer-Verlag Berlin Heidelberg 1993
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New Trends in Neural Computation978-3-540-47741-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Region of influence (ROI) networks. Model and implementation, A general model for ROI networks is presented, and the different functionalities of this structure are discussed: classification, vector quantization and associative memory..Also, an architecture for this model‘s implementation is presented, and the hardware realization of each layer is reviewed in detail.
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Biophysics of neural computation,od photoreceptor structure subserving detection in the presence of noise; and it is evident in the architecture of neural networks in which parallel computation is carried out in converging and diverging lines between different levels of the nervous system. Such an architecture makes possible some i
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Integrated learning in rana computatrix,ironmental situations and to internal states. We are building a model of the circuitry underlying the . responsible for most of the different learning capabilities of anuran. One of our goals being the study of systems composed of various structures where different environmental conditions will give
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A model for centering visual stimuli through adaptive value learning,llowing the principles of this kind of learning. The neurons responsible for the eye movement execute a mapping of the visual field by means of the adaptive value of each movement. This value is the result of the interaction of biologically inspired layers, chosen in an evolutionarily and without an
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