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    1. Neuroscience

    Reward-based training of recurrent neural networks for cognitive and value-based tasks

    H Francis Song et al.
    A two-part neural network models reward-based training and provides a unified framework in which to study diverse computations that can be compared to electrophysiological recordings from behaving animals.
    1. Neuroscience

    Value generalization in human avoidance learning

    Agnes Norbury et al.
    Individual differences in generalization of aversive value (but not safety information) during human active avoidance learning specifically predict experience of anxiety and intrusive thoughts.
    1. Neuroscience

    Associability-modulated loss learning is increased in posttraumatic stress disorder

    Vanessa M Brown et al.
    Veterans with PTSD show increased attention to a history of unexpected outcomes during loss learning, both as measured by computational model-derived behavioral parameters and in increased neural signaling in amygdala and insula.
    1. Neuroscience

    Distinct roles of striatal direct and indirect pathways in value-based decision making

    Shinae Kwak, Min Whan Jung
    The direct and indirect pathways of the dorsal striatum play indispensable roles in value-dependent action selection and value learning, respectively.
    1. Neuroscience

    Lateral orbitofrontal cortex promotes trial-by-trial learning of risky, but not spatial, biases

    Christine M Constantinople et al.
    The lateral orbitofrontal cortex promotes learning of abstract, task-specific biases, but not spatial ones.
    1. Neuroscience

    Rules and mechanisms for efficient two-stage learning in neural circuits

    Tiberiu Teşileanu et al.
    Teaching signals from "tutor" brain areas should be adapted to the plasticity mechanisms in "student" areas to achieve efficient learning in two-stage systems such as the vocal control circuit of the songbird.
    1. Neuroscience

    Complementary contributions of basolateral amygdala and orbitofrontal cortex to value learning under uncertainty

    Alexandra Stolyarova, Alicia Izquierdo
    Rat orbitofrontal cortex is required to accurately represent outcome distributions, whereas basolateral amygdala is necessary for the facilitation of learning in response to surprising events.
    1. Neuroscience

    The modulation of savouring by prediction error and its effects on choice

    Kiyohito Iigaya et al.
    The anticipation of rewards turns out to have its own hedonic value, on top of that of the reward itself; a wide range of behavioral and neurophysiological data suggest that this anticipation is boosted by prediction errors.
    1. Neuroscience

    Metacontrol of decision-making strategies in human aging

    Florian Bolenz et al.
    Older adults show reduced adaptation of decision-making strategies to dynamically changing situational demands.
    1. Neuroscience

    Neural and computational processes underlying dynamic changes in self-esteem

    Geert-Jan Will et al.
    Self-esteem, the value that people ascribe to the self, is represented in the ventromedial prefrontal cortex and dynamically updated when people learn how others value them.