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    1. Neuroscience

    Disruption of Nrxn1α within excitatory forebrain circuits drives value-based dysfunction

    Opeyemi O Alabi et al.
    Disruption of the disease-associated synaptic adhesion molecule Neurexin1a in cortical excitatory neurons perturbs decision making and disrupts value-associated neural activity in downstream striatal circuits.
    1. Neuroscience

    Reinforcement regulates timing variability in thalamus

    Jing Wang et al.
    When behavioral outcomes are unfavorable, the brain searches for better outcomes by deliberately increasing its internal variability.
    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

    Learning precise spatiotemporal sequences via biophysically realistic learning rules in a modular, spiking network

    Ian Cone, Harel Z Shouval
    A computational model shows that it's possible to learn and replay extended temporal sequences in a network of spiking neurons with a modular architecture and a biologically realistic learning rule.
    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.
    1. Neuroscience

    Two-photon imaging in mice shows striosomes and matrix have overlapping but differential reinforcement-related responses

    Bernard Bloem et al.
    Simultaneous 2-photon imaging of striosomes and matrix in mice shows that striosomes preferentially encode reward-predicting cues whereas both striatal compartments demonstrate reward-related activity.
    1. Neuroscience

    Robust and distributed neural representation of action values

    Eun Ju Shin et al.
    Action-value signals previously found in many brain areas can be accounted for neither by concurrent serial correlations in neural activity and action value nor by signals for other decision variables.
    1. Computational and Systems Biology
    2. Neuroscience

    Dopamine role in learning and action inference

    Rafal Bogacz
    A mathematical model describes the function of dopaminergic neurons in both learning and action planning.
    1. Neuroscience

    Motor thalamus supports striatum-driven reinforcement

    Arnaud L Lalive et al.
    While the basal ganglia have long been thought to mediate learning through dopamine-dependent striatal plasticity, their regulation of motor thalamus plays an unexpected and critical role in reinforcement.
    1. Neuroscience

    The influence of task outcome on implicit motor learning

    Hyosub E Kim et al.
    During a sensorimotor perturbation, task outcome may serve as a gain on implicit adaptation or provide a distinct error signal for a second, independent implicit learning process.