Search Results - "Gershman, S. J."

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  1. 1

    The successor representation in human reinforcement learning by Momennejad, I., Russek, E. M., Cheong, J. H., Botvinick, M. M., Daw, N. D., Gershman, S. J.

    Published in Nature human behaviour (01-09-2017)
    “…Theories of reward learning in neuroscience have focused on two families of algorithms thought to capture deliberative versus habitual choice. ‘Model-based’…”
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  2. 2

    Multitasking versus multiplexing: Toward a normative account of limitations in the simultaneous execution of control-demanding behaviors by Feng, S. F., Schwemmer, M., Gershman, S. J., Cohen, J. D.

    “…Why is it that behaviors that rely on control, so striking in their diversity and flexibility, are also subject to such striking limitations? Typically, people…”
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  3. 3

    Thin films and self-organization during friction under the current collection conditions by Gershman, J.S, Bushe, N.A

    Published in Surface & coatings technology (01-09-2004)
    “…The processes taking place during the friction of current collection materials are studied based on non-equilibrium thermodynamics and self-organizing…”
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  4. 4

    Rethinking dopamine as generalized prediction error by Gardner, Matthew P H, Schoenbaum, Geoffrey, Gershman, Samuel J

    “…Midbrain dopamine neurons are commonly thought to report a reward prediction error (RPE), as hypothesized by reinforcement learning (RL) theory. While this…”
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  5. 5

    Multitasking vs. multiplexing: Toward a normative account of limitations in the simultaneous execution of control-demanding behaviors by Feng, S. F., Schwemmer, M., Gershman, S. J., Cohen, J. D.

    “…Why is it that behaviors that rely on control, so striking in their diversity and flexibility, are also subject to such striking limitations? Typically, people…”
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    Journal Article
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  7. 7

    Model-free and model-based learning processes in the updating of explicit and implicit evaluations by Kurdi, Benedek, Gershman, Samuel J., Banaji, Mahzarin R.

    “…Evaluating stimuli along a good–bad dimension is a fundamental computation performed by the human mind. In recent decades, research has documented…”
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  8. 8

    Pure correlates of exploration and exploitation in the human brain by Blanchard, Tommy C., Gershman, Samuel J.

    “…Balancing exploration and exploitation is a fundamental problem in reinforcement learning. Previous neuroimaging studies of the exploration–exploitation…”
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  9. 9

    Neural signatures of arbitration between Pavlovian and instrumental action selection by Gershman, Samuel J, Guitart-Masip, Marc, Cavanagh, James F

    Published in PLoS computational biology (01-02-2021)
    “…Pavlovian associations drive approach towards reward-predictive cues, and avoidance of punishment-predictive cues. These associations "misbehave" when they…”
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  10. 10

    Thin films and self-organization during friction under the current collection conditions by GERSHMAN, J

    Published in Surface & coatings technology (01-09-2004)
    “…The processes taking place during the friction of current collection materials are studied based on non-equilibrium thermodynamics and self-organizing…”
    Get full text
    Journal Article
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