8,791 results found
    1. Neuroscience

    Homeostatic reinforcement learning for integrating reward collection and physiological stability

    Mehdi Keramati, Boris Gutkin
    A mathematical model built around the assumption that the desire to maintain internal homeostasis drives the behavior of animals, by affecting their learning processes, can explain many real-world behaviors, including some that might otherwise appear irrational.
    1. Neuroscience

    Inhibitory muscarinic acetylcholine receptors enhance aversive olfactory learning in adult Drosophila

    Noa Bielopolski et al.
    Muscarinic acetylcholine receptor type A in adult Drosophila inhibits Kenyon cells, and is required for aversive olfactory learning and learning-associated synaptic depression between Kenyon cells and their output neurons.
    1. Neuroscience

    Coding of stimulus strength via analog calcium signals in Purkinje cell dendrites of awake mice

    Farzaneh Najafi et al.
    Sensory-driven calcium spikes in Purkinje cells are not binary; instead, they are graded and can provide information about the strength of a periocular airpuff stimulus known to drive learning.
    1. Neuroscience

    Control of entropy in neural models of environmental state

    Timothy H Muller et al.
    Evidence for neuromodulatory control of flexibility in human neural models.
    1. Neuroscience

    Catecholaminergic modulation of meta-learning

    Jennifer L Cook et al.
    A human psychopharmacology study reveals that a drug that affects the dopamine and noradrenaline systems enhances people's ability to adapt their learning rate to suit the volatility of the environment.
    1. Neuroscience

    Effects of dopamine on reinforcement learning and consolidation in Parkinson’s disease

    John P Grogan et al.
    Memory over 24 hours was impaired in Parkinson's patients off, rather than on, dopaminergic medication during reinforcement learning, whereas dopamine did not affect positive and negative reinforcement, in contrast to previous studies.
    1. Neuroscience

    Computational mechanisms of curiosity and goal-directed exploration

    Philipp Schwartenbeck et al.
    Distinct computational levels of uncertainty compel agents to gain information about hidden states in the world (‘active inference’) or optimise their ‘world model’ as such (‘active learning’).
    1. Ecology
    2. Neuroscience

    BiteOscope, an open platform to study mosquito biting behavior

    Felix JH Hol et al.
    A new tool to visualize blood-feeding mosquitoes in high resolution and quantitatively characterize their behavior sheds light on contact-dependent sensing and blood-feeding dynamics of several medically relevant mosquito species.
    1. Computational and Systems Biology
    2. Evolutionary Biology

    Deep evolutionary analysis reveals the design principles of fold A glycosyltransferases

    Rahil Taujale et al.
    Deep mining of GT-A fold sequences provides an evolutionary framework for investigating complex relationships connecting GT-A fold sequence, structure, function and regulation.
    1. Developmental Biology
    2. Neuroscience

    Purinergic signaling in cochlear supporting cells reduces hair cell excitability by increasing the extracellular space

    Travis A Babola et al.
    Supporting cells in the cochlea change their shape in response to purinergic receptor activation, which influences hair cell excitability by altering potassium redistribution in the extracellular space.

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