Titlebook: Emergent Neural Computational Architectures Based on Neuroscience; Towards Neuroscience Stefan Wermter,Jim Austin,David Willshaw Book 2001

Meander

Images of the Mind: Brain Images and Neural Networkserpinning neural networks. The main techniques are briefly surveyed and data analysis techniques presently being used reviewed. The results of the experiments are then summarised. The most important recent technique used in analysing PET and fMRI, that of structural modelling, is briefly described,

INERT

Stimulus-Independent Data Analysis for fMRI such as Principal Component Analysis (PCA) and Independent Component Analysis (ICA) with respect to their capabil- ities of separating noise sources from functional activity. The methods are applied to a finger tapping fMRI experiment and it is shown that the stimulus-independent methods in additio

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Conspiracy

Computational Investigation of Hemispheric Specialization and Interactionsg neural models that are intended to provide a bet- ter understanding of this issue. These computational models focus on emergent lateralization and also hemispheric interactions during recovery from simulated cortical lesions. The models, consisting of corresponding left and right cortical regions

发炎

Explorations of the Interaction between Split Processing and Stimulus Typesent aspects of information, and the nature of integrating information between the hemispheres are vexed topics open to artificial neural network modelling. We report a series of studies of split-architecture neural networks performing visual word recognition tasks when the nature of the stimuli vary

NEEDY

Modularity and Specialized Learning: Mapping between Agent Architectures and Brain Organization we are interested in examining the biological phenomena of .. These topics are already the subject of research in another area of artificial intelligence. The design of . (CAA), such as mobile robots or virtual reality characters, has been dominated by modular architectures and context-driven actio

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Recurrent Long-Range Interactions in Early Vision path, converging connections mainly define the fea- ture detection characteristics of cells. The computational role of feedback connections, on the contrary, is largely unknown. Based on empirical find- ings we suggest that top-down feedback projections modulate activity of target cells in a contex

chemical-peel

Neural Mechanisms for Representing Surface and Contour Featuresronment. There is increasing evidence that the two modal- ities of contours and surfaces are processed in separate, but interacting visual streams or sub-systems. Neurons at early stages in the visual sys- tem show strong responses only at locations of high contrast, such as edges, but only weak res

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