7,965 results found
    1. Neuroscience

    Catecholaminergic challenge uncovers distinct Pavlovian and instrumental mechanisms of motivated (in)action

    Jennifer C Swart et al.
    Motivational coupling of action to reward and inhibition to punishment is subserved by dissociable learning and choice processes, and is modulated by dopamine/noradrenaline transporter blockade.
    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

    Principles of operation of a cerebellar learning circuit

    David J Herzfeld et al.
    Quantitative analysis of behavior coupled with computational modeling reveal the set of circuit-level principles that underlie cerebellar-dependent motor learning in smooth pursuit eye movements of monkeys across timescales.
    1. Neuroscience

    Responding to preconditioned cues is devaluation sensitive and requires orbitofrontal cortex during cue-cue learning

    Evan E Hart et al.
    The orbitofrontal cortex is necessary for learning about value-neutral sensory associations to impact subsequent model-based behavior.
    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

    Adaptive learning and decision-making under uncertainty by metaplastic synapses guided by a surprise detection system

    Kiyohito Iigaya
    Computational modeling offers an explanation for why animals learn more quickly or slowly when their environment becomes more variable or stable.
    1. Computational and Systems Biology
    2. Neuroscience

    On the objectivity, reliability, and validity of deep learning enabled bioimage analyses

    Dennis Segebarth et al.
    A comparison of different bioimage analysis pipelines reveals how deep learning can be used for automatized and reliable analysis of fluorescent features in biological datasets.
    1. Computational and Systems Biology
    2. Neuroscience

    Visuomotor learning from postdictive motor error

    Jana Masselink, Markus Lappe
    Visual, motor, and forward model gains learn from a postdictive update of space to keep perception and saccadic motor function aligned.
    1. Physics of Living Systems

    Symmetry breaking meets multisite modification

    Vaidhiswaran Ramesh, J Krishnan
    Network symmetry represents a new vantage point for dissecting complex information processing characteristics in multisite modification, and the breaking of symmetry can confer ordering of modification and absolute concentration robustness.
    1. Neuroscience

    The roles of online and offline replay in planning

    Eran Eldar et al.
    Replay of recently experienced trajectories during a decision task is coupled with more effective adaptation to change, whereas replay during rest is associated with limited decision making flexibility.

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