Titlebook: Brain-Inspired Computing; International Worksh Lucio Grandinetti,Thomas Lippert,Nicolai Petkov Conference proceedings 2014 Springer Interna

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金絲雀

Obedient

Toward the Development of Cognitive Robotsbot control take into account in its internal design concepts and schemes originated from cognitive theories. The objective is that robots will be able to emanate responses at human interaction rates and exhibit a pro-active behaviour. This pro-active behaviour implies that the internal architecture

網(wǎng)絡(luò)添麻煩

Distance Measures for Prototype Based Classificationifier serves as the starting point of the discussion. Learning Vector Quantization (LVQ) is introduced, which represents the reference data by a few prototypes. This requires a data driven training process; examples of heuristic and cost function based prescriptions are presented. While the most pop

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Bayes Optimality of Human Perception, Action and Learning: Behavioural and Neural Evidencede that increases the subjective utility of the organism. Or put slightly differently, “to make sure good things happen”. There are a number of ways that such a process can be done, but one possible hypothesis is that the human nervous system has been optimized to maximize the use of available resou

insincerity

Merging Attention and Segmentation: Active Foveal Image Representationhat the units of attention on human vision are not merely spatial but closely related to perceptual objects. This implies a strong relationship between segmentation and attention processes. This interaction is bi-directional: if the segmentation process constraints attention, the way an image is seg

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隼鷹

Towards an Explorative Visual Analysis of Cortical Neuronal Network Simulations of experimental neuroscientific data is consequently on its way turning out increasingly mature tools, solutions for a visual analysis of neuroscientific simulation data are still in their infancy. For the assessment of large-scale neuronal network simulations, correlations between the brain‘s stru

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