Browse our latest Neuroscience articles

Page 97 of 609
    1. Neuroscience

    Parallel reconstruction of the excitatory and inhibitory inputs received by single neurons reveals the synaptic basis of recurrent spiking

    Julian Bartram, Felix Franke ... Andreas Hierlemann
    Revised
    Reviewed Preprint v2
    Updated
    • Important
    • Compelling
    • Convincing
    1. Neuroscience

    History-dependent spiking facilitates efficient encoding of polarization angles in neurons of the central complex

    Lisa Rother, Anna Stöckl, Keram Pfeiffer
    Not revised
    Reviewed Preprint v1
    • Valuable
    • Compelling
    • Incomplete
    1. Neuroscience

    Hippocampal-occipital connectivity reflects autobiographical memory deficits in aphantasia

    Merlin Monzel, Pitshaporn Leelaarporn ... Cornelia McCormick
    The autobiographical memory deficits seen in aphantasia are reflected by altered activation and connectivity patterns of the hippocampus and occipital cortex, corroborating the strong link between memory and mental imagery.
    1. Neuroscience
    2. Stem Cells and Regenerative Medicine

    Muscle-resident mesenchymal progenitors sense and repair peripheral nerve injury via the GDNF-BDNF axis

    Kyusang Yoo, Young-Woo Jo ... Young-Yun Kong
    GDNF receptor-expressing mesenchymal progenitor subpopulation within skeletal muscle responds to peripheral nerve injury by sensing GDNF and secreting BDNF, thereby directly promoting nerve regeneration through facilitating remyelination by Schwann cells.
    1. Neuroscience
    2. Stem Cells and Regenerative Medicine

    Reprogramming: A perfect recipe for a corticospinal neuron

    Alfonso Aguilera, Marta Nieto
    A tailored cocktail of genes can reprogram a subset of progenitors to no longer produce glial cells and instead develop into neurons involved in motor control.
    Version of Record
    Insight
    1. Neuroscience

    A neural network model of differentiation and integration of competing memories

    Victoria JH Ritvo, Alex Nguyen ... Kenneth A Norman
    A computational neural network model leverages a simple unsupervised learning principle to account for recent findings on when memories move apart (differentiate) or together (integrate) in the brain.
    1. Neuroscience

    Distractor effects in decision making are related to the individual’s style of integrating choice attributes

    Jing Jun Wong, Alessandro Bongioanni ... Bolton KH Chau
    Computational modelling reveals variations in people’s preferences towards integrating choice attributes using an additive or multiplicative approach, which affected whether the presence of valuable distractors facilitate or impair decision making.
    1. Neuroscience

    When and why does motor preparation arise in recurrent neural network models of motor control?

    Marine Schimel, Ta-Chu Kao, Guillaume Hennequin
    A computational model shows that preparation arises as an optimal control strategy in input-driven recurrent neural networks performing a delayed-reaching task.
    1. Neuroscience

    The subthalamic nucleus contributes causally to perceptual decision-making in monkeys

    Kathryn Branam, Joshua I Gold, Long Ding
    The subthalamic nucleus contains distinct subpopulations that can support multifaceted roles for making decisions based on uncertain evidence.