Connectionist Models of Neurons, Learning Processes,and Artificial Intelligence （神经元、学习过程与人工智能的连接模型）

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This book constitutes, together with its companion, LNCS 2085, the refereed proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, held in Granada, Spain, in June 2001. The 200 revised papers presented were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in sections on foundations of connectionism, biophysical models of neurons, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, artificial intelligence and congnitive processes, methodology for nets design, nets simulation and implementation, bio-inspired systems and engineering, and other applications in a variety of fields.

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（A Computational Model of Monkey Grating Cells）
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
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Learning and Other Plasticity Phenomena，and Complex Systems Dynamics
Artificial Intelligence and Cognitive Processes
Author Index