Emergent Neural Computational Architectures Based on Neuroscience - Info and Reading Options

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Lecture Notes in Artificial Intelligence -- Emergent Neural Computational Architectures Based on Neuroscience -- Copyright -- Preface -- Table of Contents -- Towards Novel Neuroscience-Inspired Computing -- Images of the Mind: Brain Images and Neural Networks -- Stimulus-Independent Data Analysis for fMRI -- Emergence of Modularity within One Sheet of Neurons: A Model Comparison -- Computational Investigation of Hemispheric Specialization and Interactions -- Explorations of the Interaction between Split Processing and Stimulus Types -- Modularity and Specialized Learning: Mapping between Agent Architectures and Brain Organization -- Biased Competition Mechanisms for Visual Attention in a Multimodular Neurodynamical System -- Recurrent Long-Range Interactions in Early Vision -- Neural Mechanisms for Representing Surface and Contour Features -- Representations of Neuronal Models Using Minimal and Bilinear Realisations -- On the Influence of Threshold Variability in a Mean-Field Model of the Visual Cortex -- Towards Computational Neural Systems through Developmental Evolution -- The Complexity of the Brain: Structural, Functional, and Dynamic Modules -- Synchronisation, Binding, and the Role of Correlated Firing in Fast Information Transmission -- Segmenting State into Entities and Its Implication for Learning -- Temporal Structure of Neural Activity and Modelling of Information Processing in the Brain -- Role of the Cerebellum in Time-Critical Goal-Oriented Behaviour: Anatomical Basis and Control Principle -- Locust Olfaction Synchronous Oscillations in Excitatory and Inhibitory Groups of Spiking Neurons -- Temporal Coding in Neuronal Populations in the Presence of Axonal and Dendritic Conduction Time Delays -- The Role of Brain Chaos -- Neural Network Classification of Word Evoked Neuromagnetic Brain Activity

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