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    Deep-learning networks and the functional architecture of executive control

    Cooper, Richard P. (2017) Deep-learning networks and the functional architecture of executive control. Behavioral and Brain Sciences 40 , e261. ISSN 0140-525X.

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    Abstract

    Lake et al. underrate both the promise and the limitations of contemporary deep learning techniques. The promise lies in combining those techniques with broad multisensory training as experienced by infants and children. The limitations lie in the need for such systems to possess functional subsystems that generate, monitor and switch goals and strategies in the absence of human intervention.

    Metadata

    Item Type: Article
    School: School of Science > Psychological Sciences
    Research Centres and Institutes: Cognition, Computation and Modelling, Centre for
    Depositing User: Rick Cooper
    Date Deposited: 01 Feb 2017 18:03
    Last Modified: 25 Jun 2020 15:55
    URI: https://eprints.bbk.ac.uk/id/eprint/18017

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