Title: Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence: 6th International Work-Conference on Artificial and Natural Neural . Spain, June 13-15, 2001, Proceedings, Part I
Publisher: Springer
Publication Date: 2014
Language: English
ISBN 10: 3662163845
ISBN 13: 9783662163849
Binding: Soft cover
Condition: New

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Synopsis

Foundations of Connectionism and Biophysical Models of Neurons.- Dendrites: The Last-Generation Computers.- Homogeneity in the Electrical Activity Pattern as a Function of Intercellular Coupling in Cell Networks.- A Realistic Computational Model of the Local Circuitry of the Cuneate Nucleus.- Algorithmic Extraction of Morphological Statistics from Electronic Archives of Neuroanatomy.- What Can We Compute with Lateral Inhibition Circuits?.- Neuronal Models with Current Inputs.- Decoding the Population Responses of Retinal Ganglions Cells Using Information Theory.- Numerical Study of Effects of Co-transmission by Substance P and Acetylcholine on Synaptic Plasticity in Myenteric Neurons.- Neurobiological Modeling of Bursting Response During Visual Attention.- Sensitivity of Simulated Striate Neurons to Cross-Like Stimuli Based on Disinhibitory Mechanism.- Synchronisation Mechanisms in Neuronal Networks.- Detection of Oriented Repetitive Alternating Patterns in color Images.- Synchronization in Brain - Assessment by Electroencephalographic Signals.- Strategies for the Optimization of Large Scale Networks of Integrate and Fire Neurons.- Structural and Functional Models of Neurons.- A Neural Network Model of Working Memory (Processing of "What" and "Where" Information).- Orientation Selectivity of Intracortical Inhibitory Cells in the Striate Visual Cortex: A Computational Theory and a Neural Circuitry.- Interpreting Neural Networks in the Frame of the Logic of Lukasiewicz.- Time-Dispersive Effects in the J. Gonzalo's Research on Cerebral Dynamics.- Verifying Properties of Neural Networks.- Algorithms and Implementation Architectures for Hebbian Neural Networks.- The Hierarchical Neuro-Fuzzy BSP Model: An Application in Electric Load Forecasting.- The Chemical Metaphor in Neural Computation.- The General Neural-Network Paradigm for Visual Cryptography.- ?-DTB, Discrete Time Backpropagation with Product Units.- Neocognitron-Type Network for Recognizing Rotated and Shifted Patterns with Reduction of Resources.- Classification with Synaptic Radial Basis Units.- A Randomized Hypercolumn Model and Gesture Recognition.- Heterogeneous Kohonen Networks.- Divided-Data Analysis in a Financial Case Classification with Multi-dendritic Neural Networks.- Neuro Fuzzy Systems: State-of-the-Art Modeling Techniques.- Generating Linear Regression Rules from Neural Networks Using Local Least Squares Approximation.- Speech Recognition Using Fuzzy Second-Order Recurrent Neural Networks.- A Measure of Noise Immunity for Functional Networks.- A Functional-Neural Network for Post-Nonlinear Independent Component Analysis.- Optimal Modular Feedfroward Neural Nets Based on Functional Network Architectures.- Optimal Transformations in Multiple Linear Regression Using Functional Networks.- Learning and Other Plasticity Phenomena, and Complex Systems Dynamics.- Generalization Error and Training Error at Singularities of Multilayer Perceptrons.- Bistable Gradient Neural Networks: Their Computational Properties.- Inductive Bias in Recurrent Neural Networks.- Accelerating the Convergence of EM-Based Training Algorithms for RBF Networks.- Expansive and Competitive Neural Networks.- Fast Function Approximation with Hierarchical Neural Networks and Their Application to a Reinforcement Learning Agent.- Two Dimensional Evaluation Reinforcement Learning.- Comparing the Learning Processes of Cognitive Distance Learning and Search Based Agent.- Selective Learning for Multilayer Feedforward Neural Networks.- Connectionist Models of Cortico-Basal Ganglia Adaptive Neural Networks During Learning of Motor Sequential Procedures.- Practical Consideration on Generalization Property of Natural Gradient Learning.- Novel Training Algorithm Based on Quadratic Optimisation Using Neural Networks.- Non-symmetric Support Vector Machines.- Natural Gradient Learning in NLDA Networks.- AUTOWISARD: Unsupervised Modes for the WISARD.- Neural Steering: Difficult and Impossible Sequential Probl

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