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Showing 1–4 of 4 results
Advanced filters: Author: Daniel C. McNamee Clear advanced filters

  • McNamee et al. develop a theory of entorhinal–hippocampal processing. Distributed entorhinal input drives hippocampal activity between distinct statistical and dynamical regimes of activity, thereby unifying several empirical observations.

    • Daniel C. McNamee
    • Kimberly L. Stachenfeld
    • Samuel J. Gershman
    Research
    Nature Neuroscience
    Volume: 24, P: 851-862

  • An algorithm called time–magnitude reinforcement learning (TMRL) extends distributional reinforcement learning to take account of reward time and magnitude, and behavioural and neurophysiological experiments in mice suggest that midbrain dopamine neurons use TMRL-like computations.

    • Margarida Sousa
    • Pawel Bujalski
    • Joseph J. Paton
    Research
    Nature
    Volume: 642, P: 691-699

  • To facilitate decisions between distinct options, goal values could be represented using a common currency. Here the authors find that a region of medial prefrontal cortex contains a distributed goal-value code that is independent of stimulus category. However, in the medial orbitofrontal cortex, they also find unique category-dependent distributed value codes.

    • Daniel McNamee
    • Antonio Rangel
    • John P O'Doherty
    Research
    Nature Neuroscience
    Volume: 16, P: 479-485