108 results found
    1. Neuroscience

    What the success of brain imaging implies about the neural code

    Olivia Guest, Bradley C Love
    For brain imaging to be useful despite its limitations in measuring neural activity, the neural code must be smooth both in a traditional sense and functionally.
    1. Ecology
    2. Human Biology and Medicine

    Point of View: A transatlantic perspective on 20 emerging issues in biological engineering

    Bonnie C Wintle et al.
    Horizon scanning has been used to identify opportunities and risks presented by 20 emerging issues in the field of biological engineering.
    1. Computational and Systems Biology
    2. Evolutionary Biology

    Point of View: Biological causal links on physiological and evolutionary time scales

    Amit Karmon, Yitzhak Pilpel
    Increasing awareness that many causal links in biology might be bi-directional could overcome biases and improve scientific reasoning.
    1. Neuroscience

    Science Forum: Ten common statistical mistakes to watch out for when writing or reviewing a manuscript

    Tamar R Makin, Jean-Jacques Orban de Xivry
    What can authors and reviewers do to keep common statistical mistakes out of the literature?
    1. Cell Biology

    The step-wise pathway of septin hetero-octamer assembly in budding yeast

    Andrew Weems, Michael McMurray
    In budding yeast cells, slow monomeric septin GTPase activity and the cytosolic GTP:GDP ratio dictate the relative incorporation of alternative subunits during septin hetero-oligomer assembly, which proceeds by discrete, ordered steps dependent on allostery between interaction interfaces.
    1. Neuroscience

    The number of olfactory stimuli that humans can discriminate is still unknown

    Richard C Gerkin, Jason B Castro
    The recent claim that humans can discriminate more than one trillion odors is shown to be unwarranted.
    1. Neuroscience

    Leave-One-Trial-Out, LOTO, a general approach to link single-trial parameters of cognitive models to neural data

    Sebastian Gluth, Nachshon Meiran
    Leave-One-Trial-Out (LOTO) is a general, efficient and easily implementable approach for inferring trial-by-trial measures of computational model parameters in order to link these measures to neural mechanisms.
    1. Computational and Systems Biology
    2. Neuroscience

    Biophysical mechanisms in the mammalian respiratory oscillator re-examined with a new data-driven computational model

    Ryan S Phillips et al.
    Computational modeling motivated by recent experiments clarifies biophysical mechanisms generating the rhythm and amplitude of breathing at the level of neurons and brain circuits in mammals.
    1. Epidemiology and Global Health

    Conjunction of factors triggering waves of seasonal influenza

    Ishanu Chattopadhyay et al.
    Three complementary computational approaches reveal a set of putative causes of initiation of pan-USA waves of influenza.
    1. Neuroscience

    Cerebellar learning using perturbations

    Guy Bouvier et al.
    A proposal for a complete cellular/network implementation of trial-and-error motor learning in the olivo-cerebellar system.

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