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A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case - MaRDI portal

A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case (Q4816849)

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scientific article; zbMATH DE number 2100420

Language	Label	Description	Also known as
English	A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case	scientific article; zbMATH DE number 2100420

Statements

scholarly article

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A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case (English)

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Guilherme de A. Barreto

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Aluizio F. R. Araújo

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Stefan C. Kremer

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Neural Computation

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publication date

14 September 2004

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MaRDI profile type

MaRDI publication profile

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full work available at URL

https://doi.org/10.1162/089976603321780281

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Learning Patterns and Pattern Sequences by Self-Organizing Nets of Threshold Elements

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Estimating linear statistical relationships

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A self-organizing context-based approach to the tracking of multiple robot trajectories

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Learning viewpoint-invariant face representations from visual experience in an attractor network

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Absolute stability of global pattern formation and parallel memory storage by competitive neural networks

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Gradient adaptive algorithms for contrast-based blind deconvolution

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Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns

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Principal Curves

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Hebbian learning reconsidered: Representation of static and dynamic objects in associative neural nets

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The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions

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Neurons with graded response have collective computational properties like those of two-state neurons.

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Projection pursuit

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Neural networks for control systems - a survey

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Independent component analysis by general nonlinear Hebbian-like learning rules

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Blind separation of sources. I: An adaptive algorithm based on neuromimetic architecture

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Emergence of invariant-feature detectors in the adaptive-subspace self-organizing map

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Spatiotemporal Connectionist Networks: A Taxonomy and Review

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Forecasting electricity consumption using nonlinear projection and self-organizing maps

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Fast Sigmoidal Networks via Spiking Neurons

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Orbifold constructions and the classification of self-dual \(c=24\) conformal field theories

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Unsupervised learning in neural computation.

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A neural model for generating and learning a rapid movement sequence

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Dynamic programming algorithm optimization for spoken word recognition

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Temporal learning rule and dynamic neural network model

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Nonlinear black-box modeling in system identification: A unified overview

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10.1162/15324430152748227

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Temporal BYY learning for state space approach, hidden Markov model, and blind source separation

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Identifiers

zbMATH Open document ID

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10.1162/089976603321780281

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

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