Journal ArticleDOI
Adaptive Resonance Theory: How a brain learns to consciously attend, learn, and recognize a changing world
TLDR
This article reviews classical and recent developments of adaptive Resonance Theory, and provides a synthesis of concepts, principles, mechanisms, architectures, and the interdisciplinary data bases that they have helped to explain and predict.About:
This article is published in Neural Networks.The article was published on 2013-01-01. It has received 459 citations till now. The article focuses on the topics: Adaptive resonance theory & Reinforcement learning.read more
Citations
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Whatever next? Predictive brains, situated agents, and the future of cognitive science
TL;DR: This target article critically examines this "hierarchical prediction machine" approach, concluding that it offers the best clue yet to the shape of a unified science of mind and action.
Journal ArticleDOI
Continual lifelong learning with neural networks: A review.
TL;DR: This review critically summarize the main challenges linked to lifelong learning for artificial learning systems and compare existing neural network approaches that alleviate, to different extents, catastrophic forgetting.
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Expectation in perceptual decision making: neural and computational mechanisms
TL;DR: This work considers the relationship between visual expectation and related concepts, such as attention and adaptation, and discusses how expectations may influence decision signals at the computational level.
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Cybernetic Big Five Theory.
TL;DR: In this paper, the Cybernetic Big Five Theory attempts to provide a comprehensive, synthetic, and mechanistic explanatory model for personality traits, reflecting variation in the parameters of evolved cybernetic mechanisms and characteristic adaptations, representing goals, interpretations, and strategies defined in relation to an individual's particular life circumstances.
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The Now-or-Never bottleneck: A fundamental constraint on language.
TL;DR: It is argued that, to deal with this “Now-or-Never” bottleneck, the brain must compress and recode linguistic input as rapidly as possible, which implies that language acquisition is learning to process, rather than inducing, a grammar.
References
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Journal Article
The magical number seven, plus or minus two: some limits on our capacity for processing information
TL;DR: The theory of information as discussed by the authors provides a yardstick for calibrating our stimulus materials and for measuring the performance of our subjects and provides a quantitative way of getting at some of these questions.
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The magical number seven plus or minus two: some limits on our capacity for processing information
TL;DR: The theory provides us with a yardstick for calibrating the authors' stimulus materials and for measuring the performance of their subjects, and the concepts and measures provided by the theory provide a quantitative way of getting at some of these questions.
Journal ArticleDOI
Orienting of attention
TL;DR: This paper explores one aspect of cognition through the use of a simple model task in which human subjects are asked to commit attention to a position in visual space other than fixation by orienting a covert mechanism that seems sufficiently time locked to external events that its trajectory can be traced across the visual field in terms of momentary changes in the efficiency of detecting stimuli.
Journal ArticleDOI
Independent component analysis, a new concept?
TL;DR: An efficient algorithm is proposed, which allows the computation of the ICA of a data matrix within a polynomial time and may actually be seen as an extension of the principal component analysis (PCA).
Journal ArticleDOI
Independent component analysis: algorithms and applications
Aapo Hyvärinen,Erkki Oja +1 more
TL;DR: The basic theory and applications of ICA are presented, and the goal is to find a linear representation of non-Gaussian data so that the components are statistically independent, or as independent as possible.