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    1. Neuroscience

    Risking your Tail: Modeling Individual Differences in Risk-sensitive Exploration using Bayes Adaptive Markov Decision Processes

    Tingke Shen, Peter Dayan
    Not revised
    Reviewed Preprint v1
    • Important
    • Convincing
    1. Computational and Systems Biology
    2. Neuroscience

    Supercomputer framework for reverse engineering firing patterns of neuron populations to identify their synaptic inputs

    Matthieu K Chardon, Y Curtis Wang ... Charles J Heckman
    Estimating the organization of supraspinal input to motoneurons in humans is not currently possible, but a promising reverse engineering technique has been developed using large-scale supercomputing and computational neuroscience.
    1. Neuroscience
    2. Computational and Systems Biology

    Dynamic organization of visual cortical networks inferred from massive spiking datasets

    Colin Graber, Yurii Vlasov, Alexander Schwing
    Revised
    Reviewed Preprint v2
    Updated
    • Useful
    • Incomplete
    1. Neuroscience

    Automatic learning mechanisms for flexible human locomotion

    Cristina Rossi, Kristan A Leech ... Amy J Bastian
    Not revised
    Reviewed Preprint v1
    • Valuable
    • Convincing
    • Incomplete
    1. Developmental Biology
    2. Physics of Living Systems

    Deep learning for rapid analysis of cell divisions in vivo during epithelial morphogenesis and repair

    Jake Turley, Isaac V Chenchiah ... Helen Weavers
    Deep Learning Artificial Intelligence tools can be developed to accurately identify cell divisions during development and wound repair of epithelial tissue.
    1. Neuroscience

    Methylphenidate enhances or impairs the cognitive control of Pavlovian bias depending on working memory capacity

    Dirk EM Geurts, Hanneke EM den Ouden ... Roshan Cools
    Not revised
    Reviewed Preprint v1
    • Important
    • Convincing
    1. Neuroscience

    Flexible neural representations of abstract structural knowledge in the human Entorhinal Cortex

    Shirley Mark, Phillipp Schwartenbeck ... Timothy E Behrens
    Not revised
    Reviewed Preprint v1
    • Valuable
    • Solid
    1. Neuroscience

    Analysis of fast calcium dynamics of honey bee olfactory coding

    Marco Paoli, Antoine Wystrach ... Martin Giurfa
    Fast calcium dynamics of honey bee olfactory projection neurons revealed an unprecedented heterogeneity of response profile dynamics and explained fundamental aspects of olfactory discrimination and associative learning.
    1. Neuroscience

    MotorNet, a Python toolbox for controlling differentiable biomechanical effectors with artificial neural networks

    Olivier Codol, Jonathan A Michaels ... Paul L Gribble
    MotorNet is a Python toolbox for training artificial neural networks to control arbitrarily complex, differentiable, and biomechanically realistic musculo-skeletal effectors on user-defined sensorimotor tasks.
    1. Neuroscience
    2. Computational and Systems Biology

    Switching perspective: Comparing ground-level and bird’s-eye views for bees navigating clutter

    Annkathrin Sonntag, Odile Sauzet ... Olivier Bertrand
    Not revised
    Reviewed Preprint v1
    • Useful
    • Incomplete
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