Proceedings /
Saved in:
| Meeting name: | International Work-Conference on Artificial and Natural Neural Networks (6th : 2001 : Granada, Spain) |
|---|---|
| Imprint: | Berlin ; New York : Springer, c2001. |
| Description: | 2 v. ; 24 cm. |
| Language: | English |
| Series: | Lecture notes in computer science 2084-2085 |
| Subject: | |
| Format: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/4454218 |
Table of Contents:
- 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
- $$-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
- sure 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 Problems for Gradient Descent
- Analysis of Scaling Exponents of Waken and Sleeping Stage in EEG
- Model Based Predictive Control Using Genetic Algorithms. Application to Greenhouses Climate Control
- Nonlinear Parametric Model Identification with Genetic Algorithms. Application to a Thermal Process
- A Comparison of Several Evolutionary Heuristics for the Frequency Assignment Problem
- GA Techniques Applied to Contour Search in Images of Bovine Livestock
- Richer Network Dynamics of Intrinsically Non-regular Neurons Measured through Mutual Information
- RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting
- Evolving RBF Neural Networks
- Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures
- A Recurrent Multivalued Neural Network for the N-Queens Problem
- A Novel Approach to Self-Adaptation of Neuro-Fuzzy Controllers in Real Time
- Expert Mutation Operators for the Evolution of Radial Basis Function Neural Networks
- Studying Neural Networks of Bifurcating Recursive Processing Elements - Quantitative Methods for Architecture Design and Performance Analysis
- Topology-Preserving Elastic Nets
- Optimization with Linear Constraints in the Neural Network
- Optimizing RBF Networks with Cooperative/Competitive Evolution of Units and Fuzzy Rules
- Study of Chaos in a Simple Discrete Recurrence Neural Network
- Genetic Algorithm versus Scatter Search and Solving Hard MAX-W-SAT Problems
- A New Approach to Evolutionary Computation: Segregative Genetic Algorithms (SEGA)
- Evolution of Firms in Complex Worlds: Generalized NK Model
- Learning Adaptive Parameters with Restricted Genetic Optimization Method
- Solving NP-Complete Problems with Networks of Evolutionary Processors
- Using SOM for Neural Network Visualization
- Comparison of Supervised Self-Organizing Maps Using Euclidian or Mahalanobis Distance in Classification Context
- Introducing Multi-objective Optimization in Cooperative Coevolution of Neural Networks
- STAR - Sparsity through Automated Rejection
- Ordinal Regression with K-SVCR Machines
- Large Margin Nearest Neighbor Classifiers
- Reduced Support Vector Selection by Linear Programs
- Edge Detection in Noisy Images Using the Support Vector Machines
- Initialization in Genetic Algorithms for Constraint Satisfaction Problems
- Evolving High-Posterior Self-Organizing Maps
- Using Statistical Techniques to Predict GA Performance
- Multilevel Genetic Algorithm for the Complete Development of ANN
- Graph Based GP Applied to Dynamical Systems Modeling
- Nonlinear System Dynamics in the Normalisation Process of a Self-Organising Neural Network for Combinatorial Optimisation
- Continuous Function Optimisation via Gradient Descent on a Neural Network Approxmiation Function
- An Evolutionary Algorithm for the Design of Hybrid Fiber Optic-Coaxial Cable Networks in Small Urban Areas
- Channel Assignment for Mobile Communications Using Stochastic Chaotic Simulated Annealing
- Artificial Intelligence and Cognitive Processes
- Seeing is Believing: Depictive Neuromodelling of Visual Awareness
- DIAGEN-WebDB: A Connectionist Approach to Medical Knowledge Representation and Inference
- Conceptual Spaces as Voltage Maps
- Determining Hyper-planes to Generate Symbolic Rules
- Automatic Symbolic Modelling of Co-evolutionarily Learned Robot Skills
- ANNs and the Neural Basis for General Intelligence
- Knowledge and Intelligence
- Conjecturing the Cognitive Plausibility of an ANN Theorem-Prover
- Author Index
