Browse our latest Neuroscience articles

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    1. Neuroscience

    A corticostriatal deficit promotes temporal distortion of automatic action in ageing

    Miriam Matamales, Zala Skrbis ... Jesus Bertran-Gonzalez
    Acquisition of behavioral sequences in normally aged mice involves short and unusually fast patterns of action, some of which are reproduced by striatal circuitry manipulations in young mice and can be transitorily restored through action-related feedback.
    1. Neuroscience

    Maintained avalanche dynamics during task-induced changes of neuronal activity in nonhuman primates

    Shan Yu, Tiago L Ribeiro ... Dietmar Plenz
    Ongoing and stimulus-evoked brain activity in cortex are shown in nonhuman primates to follow the organization of neuronal avalanches, a core commonality that might guide optimal information processing in the brain.
    1. Neuroscience

    Computer assisted detection of axonal bouton structural plasticity in in vivo time-lapse images

    Rohan Gala, Daniel Lebrecht ... Armen Stepanyants
    BoutonAnalyzer software makes it possible to detect axonal boutons and measure their structural plasticity in long-term in vivo imaging experiments.
    1. Neuroscience

    Two single-point mutations shift the ligand selectivity of a pheromone receptor between two closely related moth species

    Ke Yang, Ling-Qiao Huang ... Chen-Zhu Wang
    Differing from its ortholog in Helicoverpa armigera, pheromone receptor HassOr14b is tuned to the major sex pheromone component in H. assulta, and two amino acids in the intracellular domain determine their ligand selectivity.
    1. Structural Biology and Molecular Biophysics
    2. Neuroscience

    Preferential assembly of heteromeric kainate and AMPA receptor amino terminal domains

    Huaying Zhao, Suvendu Lomash ... Peter Schuck
    Members of kainate and AMPA families of glutamate receptors exhibit large differences in affinity for homo- and hetero-dimerziation of their amino terminal domains, which may control gating characteristics and ion selectivity of receptor subtypes with different subunit composition.
    1. Neuroscience

    Beyond excitation/inhibition imbalance in multidimensional models of neural circuit changes in brain disorders

    Cian O'Donnell, J Tiago Gonçalves ... Terrence J Sejnowski
    Computational modeling and analysis of mouse neural population data finds that the excitation/inhibition imbalance theory of brain disorders is too limited to account for key changes in neural activity statistics.
    1. Neuroscience

    Action history influences subsequent movement via two distinct processes

    Welber Marinovic, Eugene Poh ... Timothy J Carroll
    Movement biases due to recent action history involve both dynamically-evolving processes reflecting prediction of future actions, and temporally-stable processes induced by movement repetition.
    1. Neuroscience

    Infants are superior in implicit crossmodal learning and use other learning mechanisms than adults

    Sophie Rohlf, Boukje Habets ... Brigitte Röder
    Electrophysiological activity indicates superior implicit crossmodal learning in infants and a change in learning mode from infancy to adulthood.
    1. Neuroscience

    Conserved neural circuit structure across Drosophila larval development revealed by comparative connectomics

    Stephan Gerhard, Ingrid Andrade ... Casey M Schneider-Mizell
    The connectivity structure of a nociceptive circuit is precisely maintained over Drosophila larval development through cell type-specific increases in synaptic contacts as measured from electron microscopy reconstructions, while individual neurons grow five-fold in size and number of synapses.
    1. Computational and Systems Biology
    2. Neuroscience

    Exploratory search during directed navigation in C. elegans and Drosophila larva

    Mason Klein, Sergei V Krivov ... Martin Karplus
    Crawling Drosophila larvae and C. elegans exhibit diffusive behavior alongside directed motion, and the dynamics of this navigation can be analyzed with techniques developed in understanding protein folding, using a Markov state model.