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Computational Methods in Neural Modeling

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Cover of 'Computational Methods in Neural Modeling'

Table of Contents

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    Book Overview
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    Chapter 1 Modeling Neuronal Firing in the Presence of Refractoriness
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    Chapter 2 A Study of the Action Potential Initiation Site Along the Axosomatodendritic Axis of Neurons Using Compartmental Models
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    Chapter 3 Real Neurons and Neural Computation: A Summary of Thoughts
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    Chapter 4 Synchronous firing in a population of inhibitory interneurons coupled by electrical and chemical synapses
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    Chapter 5 Stochastic Networks with Subthreshold Oscillations and Spiking Activity
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    Chapter 6 Selective Inactivation of Neuronal Dendritic Domains: Computational Approach to Steady Potential Gradients
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    Chapter 7 Intermittent burst synchronization in neural networks
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    Chapter 8 Diffusion Associative Network: Diffusive Hybrid Neuromodulation and Volume Learning
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    Chapter 9 The Minimum-Variance Theory Revisited
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    Chapter 10 Sleep and wakefulness in the cuneate nucleus: a computational study
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    Chapter 11 Effiects of different connectivity patterns in a model of cortical circuits
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    Chapter 12 A Digital Neural Model of Visual Deficits in Parkinson’s Disease
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    Chapter 13 Intersensorial Summation as a Nonlinear Contribution to Cerebral Excitation
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    Chapter 14 Interacting Modalities through Functional Brain Modeling
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    Chapter 15 Life-long learning: consolidation of novel events into dynamic memory representations
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    Chapter 16 Real-time Sound Source Localization and Separation based on Active Audio-Visual Integration
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    Chapter 17 Hierarchical Neuro-Fuzzy Systems
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    Chapter 18 A functional spiking neuron hardware oriented model
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    Chapter 19 SO(2)-Networks as Neural Oscillators
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    Chapter 20 A Rotated Kernel Probabilistic Neural Network (RKPNN) for Multi-class Classification
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    Chapter 21 Independent Residual Analysis for Temporally Correlated Signals
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    Chapter 22 MLP+H: a Hybrid Neural Architecture Formed by the Interaction of Hopfield and Multi-Layer Perceptron Neural Networks
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    Chapter 23 Linear unit relevance in multiclass NLDA networks
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    Chapter 24 Bootstrap for model selection: linear approximation of the optimism
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    Chapter 25 A learning rule to model the development of orientation selectivity in visual cortex
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    Chapter 26 Sequence learning using the neural coding
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    Chapter 27 Improved Kernel Learning Using Smoothing Parameter Based Linear Kernel
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    Chapter 28 Automatic Car Parking: A Reinforcement Learning Approach
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    Chapter 29 Discriminative Training of the Scanning N-Tuple Classifier
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    Chapter 30 A Wrapper Approach with Support Vector Machines for Text Categorization
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    Chapter 31 Robust Expectation Maximization Learning Algorithm for Mixture of Experts
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    Chapter 32 Choosing among algorithms to improve accuracy
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    Chapter 33 Evolutionary Approach to Overcome Initialization Parameters in Classification Problems
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    Chapter 34 Text Categorisation Using a Partial-Matching Strategy
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    Chapter 35 A new learning method for single layer neural networks based on a regularized cost function
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    Chapter 36 A better selection of patterns in lazy learning radial basis neural networks
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    Chapter 37 An Iterative Fuzzy Prototype Induction Algorithm
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    Chapter 38 A Recurrent Multivalued Neural Network for codebook generation in Vector Quantization
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    Chapter 39 The recurrent IML-network
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    Chapter 40 Estimation of Multidimensional Regression Model with Multilayer Perceptrons
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    Chapter 41 Principal Components Analysis Competitive Learning
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    Chapter 42 Progressive Concept Formation in Self-organising Maps
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    Chapter 43 Supervised Classification with Associative SOM
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    Chapter 44 Neural Implementation of Dijkstra’s Algorithm.
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    Chapter 45 Spurious minima and basins of attraction in higher-order Hopfield networks
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    Chapter 46 Cooperative Co-evolution of Multilayer Perceptrons
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    Chapter 47 A statistical model of pollution-caused pulmonary crises
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    Chapter 48 A new penalty-based criterion for model selection in regularized nonlinear models
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    Chapter 49 Data Driven Multiple Neural Network Models Generator Based on a Tree-like Scheduler
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    Chapter 50 Performance-Enhancing Bifurcations in a Self-organising Neural Network
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    Chapter 51 A Competitive Neural Network based on dipoles
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    Chapter 52 An N-Parallel Multivalued Network: Applications to the Travelling Salesman Problem
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    Chapter 53 Parallel ACS for weighted MAX-SAT
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    Chapter 54 Learning to Generate Combinatorial Action Sequences Utilizing the Initial Sensitivity of Deterministic Dynamical Systems
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    Chapter 55 BICONN: A Binary Competitive Neural Network
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    Chapter 56 SASEGASA: An Evolutionary Algorithm for Retarding Premature Convergence by Self-Adaptive Selection Pressure Steering
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    Chapter 57 Cooperative Ant Colonies for Solving the Maximum Weighted Satisfiability Problem
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    Chapter 58 Designing a Phenotypic Distance Index for Radial Basis Function Neural Networks
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    Chapter 59 The Antiquadrupolar Phase of the Biquadratic Neural Network
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    Chapter 60 Co-Evolutionary Algorithm for RBF by Self- Organizing Population of neurons
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    Chapter 61 Studying the Capacity of Grammatical Encoding to Generate FNN Architectures
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    Chapter 62 Optimal Phasor Measurement Unit Placement using Genetic Algorithms
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    Chapter 63 On the Evolutionary Inference of Temporal Boolean Networks
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    Chapter 64 Specifying evolutionary algorithms in XML
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    Chapter 65 Analysis of the Univariate Marginal Distribution Algorithm modeled by Markov chains
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    Chapter 66 Node level crossover applied to neural network evolution
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    Chapter 67 Genetic Search of Block-Based Structures of Dynamical Process Models
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    Chapter 68 Visualization of Neural Net Evolution
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    Chapter 69 Separable Recurrent Neural Networks Treated with Stochastic Velocities
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    Chapter 70 Studying the Convergence of the CFA Algorithm
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    Chapter 71 Auto-Adaptive Neural Network Tree Structure Based on Complexity Estimator
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    Chapter 72 Intelligence and Computation: A View from Physiology
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    Chapter 73 Image Understanding analysis at the Knowledge Level as a Design Task
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    Chapter 74 Morphological Clustering of the SOM for Multi-dimensional Image Segmentation
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    Chapter 75 Introducing Long Term Memory in an ANN based Multilevel Darwinist Brain
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    Chapter 76 New Directions in Connectionist Language Modeling
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    Chapter 77 Rules and Generalization Capacity Extraction from ANN with GP
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    Chapter 78 Numerosity and the Consolidation of Episodic Memory
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    Chapter 79 Rule Extraction from a Multilayer Feedforward Trained Network via Interval Arithmetic Inversion
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    Chapter 80 Necessary First-Person Axioms of Neuroconsciousness
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    Chapter 81 An Agent Based Approach of Collective Foraging
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    Chapter 82 Hybrid Architecture Based on Support Vector Machines
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    Chapter 83 A neural approach to extended logic programs
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    Chapter 84 Solving SAT in Linear Time with a Neural-like Membrane System
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    Chapter 85 An Exponential-Decay Synapse Integrated Circuit For Bio-inspired Neural Networks.
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    Chapter 86 A high level synthesis of an auditory mechanical to neural transduction circuit.
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    Chapter 87 Restriction Enzyme Computation
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    Chapter 88 Neurally Inspired Mechanisms for the Dynamic Visual Attention Map Generation Task
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    Chapter 89 A Model of Dynamic Visual Attention for Object Tracking in Natural Image Sequences
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    Chapter 90 Neural competitive structures for segmentation based on motion features
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    Chapter 91 Background Pixel Classification for Motion Detection in Video Image Sequences
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    Chapter 92 COBRA: An Evolved Online Tool for Mammography Interpretation
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    Chapter 93 CBA generated receptive fields implemented in a Facial expression recognition task
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    Chapter 94 A Hybrid Face Detector based on an Asymmetrical Adaboost Cascade Detector and a Wavelet-Bayesian- Detector
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    Chapter 95 Neural Net Generation of Facial Displays in Talking Heads
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Title
Computational Methods in Neural Modeling
Published by
Springer Berlin Heidelberg, January 2003
DOI 10.1007/3-540-44868-3
ISBNs
978-3-54-040210-7, 978-3-54-044868-6
Editors

José Mira, José R. Álvarez

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Mendeley readers

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The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Singapore 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Researcher 3 18%
Student > Postgraduate 2 12%
Professor > Associate Professor 2 12%
Student > Bachelor 1 6%
Other 4 24%
Unknown 1 6%
Readers by discipline Count As %
Computer Science 6 35%
Engineering 4 24%
Psychology 2 12%
Agricultural and Biological Sciences 1 6%
Mathematics 1 6%
Other 2 12%
Unknown 1 6%