5,738 results found
    1. Neuroscience

    Recurrent network model for learning goal-directed sequences through reverse replay

    Tatsuya Haga, Tomoki Fukai
    The combination of short-term and long-term plasticity enables hippocampus to learn goal-directed paths through replay in a reversed order.
    1. Neuroscience

    Functional heterogeneity within the rodent lateral orbitofrontal cortex dissociates outcome devaluation and reversal learning deficits

    Marios C Panayi, Simon Killcross
    The rodent orbitofrontal cortex makes functionally distinct contributions to flexible behavioural control, even within a single putative orbitofrontal subregion, which has important implications for establishing homology between rodent and primate orbitofrontal cortex.
    1. Neuroscience

    Activity patterns of serotonin neurons underlying cognitive flexibility

    Sara Matias et al.
    Recordings from serotonin-producing neurons in the brain reveal that these neurons are highly activated by sudden changes in previously familiar environments, potentially explaining why serotonin is important for learning to adapt to such changes.
    1. Stem Cells and Regenerative Medicine

    Live cell-lineage tracing and machine learning reveal patterns of organ regeneration

    Oriol Viader-Llargués et al.
    A combination of live cell tracking, cell-lineage tracing and machine learning shows that injured sensory organs repair accurately regardless of the extent of damage.
    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

    Critical role for the mediodorsal thalamus in permitting rapid reward-guided updating in stochastic reward environments

    Subhojit Chakraborty et al.
    In monkeys, the integrity of the magnocellular subdivision of mediodorsal thalamus is important when using recent rewarded choices to promote persistence with a recently sampled choice during changing or uncertain reward guided-learning and decision-making tasks.
    1. Neuroscience

    Instructed knowledge shapes feedback-driven aversive learning in striatum and orbitofrontal cortex, but not the amygdala

    Lauren Y Atlas et al.
    While the striatum and orbitofrontal cortex learn about threats through verbal warnings, the amygdala learns only from direct experience, suggesting that the amygdala forms part of a specialized threat detection system.
    1. Neuroscience

    Neural computations underlying inverse reinforcement learning in the human brain

    Sven Collette et al.
    The human brain is capable of implementing inverse reinforcement learning, where an observer infers the hidden reward structure of a decision problem solely through observing another individual take actions.
    1. Neuroscience

    Dopaminergic neurons write and update memories with cell-type-specific rules

    Yoshinori Aso, Gerald M Rubin
    Building on previous work (Aso et al., 2014a; Aso et al., 2014b), cell-type-specific drivers and optogenetics are used to control the local release of dopamine and reveal that distinct learning rules are implemented in parallel memory units.
    1. Neuroscience

    Gating of neural error signals during motor learning

    Rhea R Kimpo et al.
    Electrode recordings and optogenetics reveal that the cerebellum can modulate its response to error signals from the brainstem during motor learning.

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