NEURAL NETWORKS

NEURAL NETWORKS(英文缩写 NEURAL NETWORKS),ISSN 0893-6080,eISSN 1879-2782 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。

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历年影响因子趋势

NEURAL NETWORKS 最新收录文献

1. Embodying meaning: insights from primates, autism, and Brentano.
   Juan Carlos Gómez
   Neural networks : the official journal of the International Neural Network Society 2009 IF: 7.20 Q1 PMID: 19272557

   In this paper I offer an analysis of social meaning in terms of coding intentional relations between agents and objects. This analysis is amenable to embodied interpretations of intentionality and The…

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2. Emergence of structured interactions: from a theoretical model to pragmatic robotics.
   A Revel, P Andry
   Neural networks : the official journal of the International Neural Network Society 2009 IF: 7.20 Q1 PMID: 19243912

   In this article, we present two neural architectures for the control of socially interacting robots. Beginning with a theoretical model of interaction inspired by developmental psychology, biology and…

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3. Discrete combinatorial circuits emerging in neural networks: a mechanism for rules of grammar in the human brain?
   Friedemann Pulvermüller, Andreas Knoblauch
   Neural networks : the official journal of the International Neural Network Society 2009 IF: 7.20 Q1 PMID: 19237262

   In neural network research on language, the existence of discrete combinatorial rule representations is commonly denied. Combinatorial capacity of networks and brains is rather attributed to probabili…

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4. Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks.
   John C Murray, Harry R Erwin, Stefan Wermter
   Neural networks : the official journal of the International Neural Network Society 2009 IF: 7.20 Q1 PMID: 19233613

   In this paper we present a sound-source model for localising and tracking an acoustic source of interest along the azimuth plane in acoustically cluttered environments, for a mobile service robot. The…

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5. Cortical basis of communication: local computation, coordination, attention.
   Frederic Alexandre
   Neural networks : the official journal of the International Neural Network Society 2009 IF: 7.20 Q1 PMID: 19217253

   Human communication emerges from cortical processing, known to be implemented on a regular repetitive neuronal substratum. The supposed genericity of cortical processing has elicited a series of model…

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6. Multimodal communication in animals, humans and robots: an introduction to perspectives in brain-inspired informatics.
   S Wermter, M Page, M Knowles, V Gallese, F Pulvermüller, J Taylor
   Neural networks : the official journal of the International Neural Network Society 2009 IF: 7.20 Q1 PMID: 19216049

   Recent years have seen convergence in research on brain mechanisms and neurocomputational approaches, culminating in the creation of a new generation of robots whose artificial "brains" respect neuros…

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7. Neural associative memories for the integration of language, vision and action in an autonomous agent.
   H Markert, U Kaufmann, Z Kara Kayikci, G Palm
   Neural networks : the official journal of the International Neural Network Society 2009 IF: 7.20 Q1 PMID: 19203859

   Language understanding is a long-standing problem in computer science. However, the human brain is capable of processing complex languages with seemingly no difficulties. This paper shows a model for …

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8. Implicit and explicit representations.
   Nicolas P Rougier
   Neural networks : the official journal of the International Neural Network Society 2009 IF: 7.20 Q1 PMID: 19203858

   During the past decades, the symbol grounding problem, as has been identified by Harnard [Harnard, S. (1990). The symbol grounding problem. Physica D: Nonlinear Phenomena, 42, 335-346], became a promi…

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9. Cross-modal and scale-free action representations through enaction.
   Alex Pitti, Hassan Alirezaei, Yasuo Kuniyoshi
   Neural networks : the official journal of the International Neural Network Society 2009 IF: 7.20 Q1 PMID: 19203857

   Embodied action representation and action understanding are the first steps to understand what it means to communicate. We present a biologically plausible mechanism to the representation and the reco…

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10. A signal theory approach to support vector classification: the sinc kernel.
    James D B Nelson, Robert I Damper, Steve R Gunn, Baofeng Guo
    Neural networks : the official journal of the International Neural Network Society 2009 IF: 7.20 Q1 PMID: 19118976

    Fourier-based regularisation is considered for the support vector machine classification problem over absolutely integrable loss functions. By invoking the modest assumption that the decision function…

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