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  1. Article ; Online: Minimally dependent activity subspaces for working memory and motor preparation in the lateral prefrontal cortex

    Cheng Tang / Roger Herikstad / Aishwarya Parthasarathy / Camilo Libedinsky / Shih-Cheng Yen

    eLife, Vol

    2020  Volume 9

    Abstract: The lateral prefrontal cortex is involved in the integration of multiple types of information, including working memory and motor preparation. However, it is not known how downstream regions can extract one type of information without interference from ... ...

    Abstract The lateral prefrontal cortex is involved in the integration of multiple types of information, including working memory and motor preparation. However, it is not known how downstream regions can extract one type of information without interference from the others present in the network. Here, we show that the lateral prefrontal cortex of non-human primates contains two minimally dependent low-dimensional subspaces: one that encodes working memory information, and another that encodes motor preparation information. These subspaces capture all the information about the target in the delay periods, and the information in both subspaces is reduced in error trials. A single population of neurons with mixed selectivity forms both subspaces, but the information is kept largely independent from each other. A bump attractor model with divisive normalization replicates the properties of the neural data. These results provide new insights into neural processing in prefrontal regions.
    Keywords working memory ; motor preparation ; lateral prefrontal cortex ; Medicine ; R ; Science ; Q ; Biology (General) ; QH301-705.5
    Language English
    Publishing date 2020-09-01T00:00:00Z
    Publisher eLife Sciences Publications Ltd
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Time-invariant working memory representations in the presence of code-morphing in the lateral prefrontal cortex

    Aishwarya Parthasarathy / Cheng Tang / Roger Herikstad / Loong Fah Cheong / Shih-Cheng Yen / Camilo Libedinsky

    Nature Communications, Vol 10, Iss 1, Pp 1-

    2019  Volume 11

    Abstract: Working memory is maintained in the recurrent connectivity of prefrontal neurons; however, distractors lead to a morphing of the population code. Here, the authors show that a low dimensional subspace of activity maintains memory information even with a ... ...

    Abstract Working memory is maintained in the recurrent connectivity of prefrontal neurons; however, distractors lead to a morphing of the population code. Here, the authors show that a low dimensional subspace of activity maintains memory information even with a distractor and can be modeled as a bump attractor.
    Keywords Science ; Q
    Language English
    Publishing date 2019-11-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Time-invariant working memory representations in the presence of code-morphing in the lateral prefrontal cortex

    Aishwarya Parthasarathy / Cheng Tang / Roger Herikstad / Loong Fah Cheong / Shih-Cheng Yen / Camilo Libedinsky

    Nature Communications, Vol 10, Iss 1, Pp 1-

    2019  Volume 11

    Abstract: Working memory is maintained in the recurrent connectivity of prefrontal neurons; however, distractors lead to a morphing of the population code. Here, the authors show that a low dimensional subspace of activity maintains memory information even with a ... ...

    Abstract Working memory is maintained in the recurrent connectivity of prefrontal neurons; however, distractors lead to a morphing of the population code. Here, the authors show that a low dimensional subspace of activity maintains memory information even with a distractor and can be modeled as a bump attractor.
    Keywords Science ; Q
    Language English
    Publishing date 2019-11-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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