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Self-organization of associative memory and pattern classification: recurrent signal processing on topological feature maps
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-83740-1_40openalex-snapshot
Extending Kohonen’s Self-Organizing Mapping Algorithm to Learn Ballistic Movements
inferredcites →https://doi.org/10.1007/978-3-642-88163-3openalex-snapshot
Self-Organization and Associative Memory
inferredcites →https://doi.org/10.1007/bf00317973openalex-snapshot
Analysis of a simple self-organizing process
inferredcites →https://doi.org/10.1007/bf00337288openalex-snapshot
Self-organized formation of topologically correct feature maps
inferredcites →https://doi.org/10.1073/pnas.74.11.5176openalex-snapshot
How to label nerve cells so that they can interconnect in an ordered fashion.
inferredcites →https://doi.org/10.1098/rspb.1976.0087openalex-snapshot
How patterned neural connections can be set up by self-organization
inferredcites →https://doi.org/10.1109/72.80310openalex-snapshot
Asymptotic level density for a class of vector quantization processes
inferredcites →https://doi.org/10.1109/icnn.1988.23838openalex-snapshot
Kohonen's self-organizing maps: exploring their computational capabilities
inferredcites →https://doi.org/10.1109/tcom.1980.1094577openalex-snapshot
An Algorithm for Vector Quantizer Design
inferredcites →https://doi.org/10.1146/annurev.ne.10.030187.000353openalex-snapshot
Computational Maps in the Brain
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Discovery of Intrinsic Clustering in Spatial Data
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An Overview of SOM Literature
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An Overview of SOM Literature
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On the topology distortion in self-organizing feature maps
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Unsupervised clustering and centroid estimation using dynamic competitive learning
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Topological feature maps with self-organized lateral connections: a population-coded, one-layer model of associative memory
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An associative memory that can form hypotheses: a phase-coded neural network
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Organization of theEchinococcus multilocularis cyst: analytical study of histological sections by means of a neural network
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Quantitative measures for self-organizing topographic maps
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A multilayer feedforward neural network model for visual motion perception
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Global asymptotic stability of impulsive fractional-order BAM neural networks with time delay
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Efficient policy search in low-dimensional embedding spaces by generalizing motion primitives with a parameterized skill memory
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Functional Genomics
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A NETWORK FOR DISCRIMINANT ANALYSIS
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Classification and assessment of turbulent fluxes above ecosystems in North-America with self-organizing feature map networks
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Development of a tailored combination of machine learning approaches to model volumetric soil water content within a mesic forest in the Pacific Northwest
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Generalized radial basis function networks for classification and novelty detection: self-organization of optimal Bayesian decision
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A Scale-Space Clustering Method: Mitigating the Effect of Scale in the Analysis of Zone-Based Data
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Land surface classification by neural networks
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Optimization of Water Sampling Locations Using Remote Sensing Data Analyzed by Neural Networks
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A New Concept for Cochlear Implant Speech Processing
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Predicting slow structural transitions in macromolecular systems: Conformational flooding
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Scale-based clustering using the radial basis function network
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Hearing aids for the profoundly deaf based on neural net speech processing
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Design of a 4×4 Kohonen neural net-VHDL description
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Handwritten Chinese character recognition using spatial Gabor filters and self-organizing feature maps
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Control of annealing in minimal free energy vector quantization
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Unsupervised context learning in natural language processing
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Dynamic competitive learning for centroid estimation
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Speech processing by hierarchical segment classification
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Temporal knowledge discovery for multivariate time series with enhanced self-organizing maps
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Nonbinary Associative Memory With Exponential Pattern Retrieval Capacity and Iterative Learning
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A Systems-Pharmacology Analysis of Herbal Medicines Used in Health Improvement Treatment: Predicting Potential New Drugs and Targets
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Comparison of reference distributions acquired by direct and indirect sampling techniques: exemplified with the Pediatric Reference Interval in China (PRINCE) study
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Researching the trends in innovation activity of Russian regions using the neural simulation
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Neural network modeling of development trends of physical culture and sports in the Russian regions as a driver of the national socio-economic growth
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Synchronization of Fractional Order Uncertain BAM Competitive Neural Networks
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Receptive Field and Feature Map Formation in the Primary Visual Cortex via Hebbian Learning with Inhibitory Feedback
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Tolerance of Pattern Storage Network for Storage and Recalling of Compressed Image using SOM
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Additional file 1 of Comparison of reference distributions acquired by direct and indirect sampling techniques: exemplified with the Pediatric Reference Interval in China (PRINCE) study
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