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List of Journal Titles (5)
> 5th Int Conf Neural Inf Proc Vol 1
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5th Int Conf Neural Inf Proc Vol 1
Braintech'21: Korean Proposal for Creating Artificial Brains from Hints.
Aspects of Signal Representation in the Brain.
Single neurons with many weak presynaptic terminals: coding, uncertainty and information.
ICONIP'98-Firing dynamics of electroreceptors.
Synchrony with depressive synapses under temporally-fluctuating stimulus spikes.
Strategy for the Foundation of a Neurotechnology Company.
Trend of a present color management technology in the industry.
Pathological Diagnosis Support System Using Neural Networks.
Artificial Vision Chip for Industrial Applications.
Industrial applications for an active vision system based on primate oculomotion and neural computation.
A bootstrap-based learning with the cross validation.
Inequalities of Generalization Errors for Layered Neural Networks in Bayesian Learning.
Improving the Generalization Performance of the Minimum Classification Error Learning and Its Application to Neural Networks.
Effect of batch learning in multilayer neural networks.
An Experimental Comparison of the Bayesian Ying-Yang Criteria and Cross Validation on Experts Number Selection in Original and Alternative Model for Mixture of Experts.
Segmented representation of approximation surface.
HDL Design of Pulse Density Neural Network Using Simultaneous Perturbation.
Hardware implementation of PCA neural network.
Adaptive Blind Equalization Using Bottleneck Networks Implemented by Evolvable Hardware.
Digital Spikes: Information Representation in ATR's CAM-Brain Machine.
A web oriented recurrent neural network simulator.
Analog Neuro-Chips with On-Chip Learning Capability for Active Noise Canceling.
Neural Network based Identification of Flexible-Link Manipulator Dynamics.
Memory-Based Location Estimation and Navigation Using Bayesian Estimation.
Path planning of moving robot by discrete state transition of associative memory.
Orientation Estimation Using the Gaussian Mixture Bayes with Regularised EM Algorithm(GMB-REM) for Real Mobile Robot Localisation.
Neuromagnetic studies on visual pattern processing in the human brain.
Fundamental macro-properties of brain activity revealed by Magnetoencephalography(MEG).
Language-Related Neural Activity Measured by Functional Magnetic Resonance Imaging and Magnetoencephalography.
ICONIP '98-Functional human brain mapping and imaging by transcranial magnetic stimulation, magnetoencephalography, and direct current MRI.
A New Method for Automated Image Warping Based on a Variational Approach.
Monochromatic Visualization of Multimodal Images by Projection Pursuit.
A recurrent neural filter for reducing noise in medical X-ray image sequences.
On the application of neural networks to non-linear image processing tasks.
Learning template in dynamic link matching neural network.
Neuro-classification of the new and used bills using time-series acoustic data.
Need for Development of Statistical Analysis Tools of Dynamical Neuronal Code. Statistical Evaluation of Joint-PSTH.
System Dynamics and Olfactory Neural Coding.
Detection of deterministic correlations between two pulse trains.
Models for fast analog computation with spiking neurons.
Chaotic behaviors of a single neuron model for signal processing elements.
Soft fusion of neural classifiers.
Decomposition and Parallel Learning of Imbalanced Classification Problems by Min-Max Modular Neural Network.
Incremental Class Learning approach and its application to Handwritten Digit Recognition.
Experiments on Three-Dimensional Wire-Frame Object Recognition.
Application of ICA in the Separation of Breathing Artifacts in ECG Signals.
Can Random Generation Measure the Human Brain?
The Composition of Chaos Hopfield Neural Network and Gaussian Machine to the Traveling Salesman Problem.
Learning dynamical systems by neural networks.
Effects of Sparsely Spaced Clusters on Lotto-Type Competitive Learning.
A hierarchy from .ALPHA.-EM algorithm to vector quantization and self-organization.
The Correct Convergence of the Rival Penalized Competitive Learning(RPCL) Algorithm.
Bayesian Ying-Yang System and Theory as A Unified Statistical Learning Approach (VII): Data Smoothing.
Adaptive state space formation in reinforcement learning.
Emergence of Expert Modules for Mobile Robot Navigation from a Mixture of Elman Networks.
A sequence learning architecture based on cortico-basal ganglionic loops and reinforcement learning.
A Functional Model of Cortico-Basal Ganglia Loop in Motor Control.
Automatic Partitioning for Multi-Agent Reinforcement Learning.
Invariant Handwritten Chinese Character Recognition.
Modular structure of neocognitron to pattern recognition.
Integration of situated prior probability and neural network classifier in a handwriting recognition task.
Recognition of Spatiotemporal Patterns Using a Nonmonotone Neural Network with Hidden Neurons.
Korean Character Recognition Using a TDNN.
Recognition of hand-written patterns by rotation-invariant neocognitron.
Progress of Unsupervised Learning of Early Vision.
A competition between temporal and spatial factors in one-shot visual apparent motion: directional effect.
Figure-ground separation from motion-Subjective contour and front dynamics.
Neural Network Model Completing Occluded Contour.
A neural network model of dynamical grouping process.
Changes in cerebral activity during visuomotor learning with optical rotation: A positron emission tomography study.
Real-time optical imaging provides "dynamic map of brain activity".
Functional structures from different components of intrinsic signal in cat visual cortex.
Dynamic Optical Topography and the Real-time PDP Chip: An Analytical and Synthetical Approach to Higher-order Brain Functions.
Noise Removal Based on Classification of Wavelet Coefficients Using Counterpropagation Neural Networks.
Automated Text Categorization Using Support Vector Machine.
Image segmentation using genetic method to select feature indices.
A soil moisture map generated from satellite data by using domains of attraction in neural networks.
A neural system for the patterns recognition of remote sensing images.
Face Image Segmentation by detecting attentive regions of artificial neural network.
Generalized field effect method.
A Study on the Influence of Intermediate Surface Structure in Depth Perception with Binocular Viewing.
Binding with and without attention: A neural network model for computation of spatial relations in object perception.
A Representation of form included illusory contours.
Fast Calculation Method for Stereoscopic Vision with Pattern Recognition Equation and Image Processing.
Sequential Stereoscopic Vision and Hysteresis.
A dynamical model of stereopsis to form 3-D surfaces.
Correspondence procedure for recovery of rigid structure from orthographically projected optical flow. A computational aspect of kinetic depth effect.
Reconstruction of Visual Sensory Space on the Hidden Layer in Layered Neural Networks.
Pursuit movement of pan-tilt camera by feedback-error-learning.
Self-organizing model for the detection of really moving objects.
Face shape and position recognition in two-D space by spreading associative neural network.
Learning and recollection of human faces by association cortex to entorhinal-hippocampal neural network model.
Simulation studies on the effects of education in alzheimer's disease.
For Grasping Brain Architecture.
A Model of the Hippocampus-Neocortex for Episodic Memory.
A New Measurement of Complexity for Studying EEG Mutual Information.
An Estimation of the Bispectrum for the EEG in Emotional states.
Can an alpha-induced stimulator enhance a memory process in the brain?
A General Relation among Power Spectral Values of the Human Spontaneous EEG.
Principal Pattern analysis of Sleep deprived human EEG.
Tests For Deterministic Dynamics in EEG.
Investigation of nonlinear structure of brain dynamics assuming a text as a time series.
Proposal of a Brain-type System Architecture Based on Self-Organizing Consciousness Using Coherence.
Object recognition and formation of hand shape in human grasping movements.
Symbolized particles store type neuron model and its application to voiced signals.
An Emotion Processing System Based on Subjective Observation.
Blind Signal Separation with a flexible non-linearity.
Reversed Pattern Generation Phenomenon Observed in a Sensorimotor Coordinated System.
Averaging Ensemble Neural Networks in Parameter Space.
Probabilistic and statistical aspects of feed-forward nonlinear neural networks.
Energy Functions for Efficient Nonlinear Dimensionality Reduction by Multi Layer Perceptrons.
Maximum Likelihood Weights for a Linear Ensemble of Regression Neural Networks.
Upper Bounds on the Expected Training Errors of Neural Network Regressions for a Gaussian Noise.
An improvement of AdaBoost to avoid overfitting.
Analysis on the Nonlinear Transform of Weighted Sum Errors in Feedforward Neural Networks.
Proposing Matchability Criterion for Situation Decomposition. Extracting situations each of which contains a rule.
The stability of the solution in fully connected neural networks with the encouragement factor.
A Proof of Convergence of Asynchronous Boltzmann Machine.
A Periodic Chaos Neural Network.
Mean Field Approximation in Bayesian Variable Selection.
Examination of mean field approximation based on linear response theorem for boltzmann machine learning.
A New Dynamical Memory System Based on Chaotic Neural Networks.
The Improvements of the Learning Vector Quantization method.
A New Vector Quantization Algorithm with Annealing Operation for Time-varying Data.
Modified Counter-Propagation Network.
Estimation of third-order correlations within mean field approximation.
A Fuzzy Recognition Integrated Circuit.
A Current Mode VLSI Neural Fuzzy Classifier For Unconstrained Handwritten Numeral Classification.
A unified design method which generates a fault tolerant MLP while minimizing the quantization effects.
Temporal pattern discrimination using the brain mimic processor.
Summation characteristics of PDM digital neural network system.
An one-dimensional analog vision chip system with light-adaptive gain control.
Nonlinear Function Generators and Chaotic Signal Generators Based on Pulse-Phase Modulation.
Oscillator Networks for Image Segmentation and their Circuits using Pulse Modulation Methods.
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