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    1. Neuroscience

    Preparation for upcoming attentional states in the hippocampus and medial prefrontal cortex

    Eren Günseli, Mariam Aly
    Memory guides attention by enabling preparation for upcoming states in the hippocampus and medial prefrontal cortex.
    1. Neuroscience

    Unsupervised discovery of temporal sequences in high-dimensional datasets, with applications to neuroscience

    Emily L Mackevicius et al.
    Building on simple unsupervised matrix factorization techniques, the seqNMF algorithm successfully recovers neural sequences in a wide range of simulated and real datasets.
    1. Neuroscience

    Optogenetically induced low-frequency correlations impair perception

    Anirvan Nandy et al.
    Low-frequency correlations among neurons in monkey visual area V4 impair the animal's ability to perform an attention-demanding task, suggesting a causal role of these fluctuations in perception.
    1. Computational and Systems Biology
    2. Neuroscience

    Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit

    Marianne J Bezaire et al.
    Spontaneous theta oscillations and interneuron-specific phase preferences emerge spontaneously in a full-scale model of the isolated hippocampal CA1 subfield, corroborating and extending recent experimental findings.
    1. Cell Biology
    2. Developmental Biology

    First quantitative high-throughput screen in zebrafish identifies novel pathways for increasing pancreatic β-cell mass

    Guangliang Wang et al.
    A novel high-throughput, whole organism chemical screening platform was used to identify existing drugs that increase pancreatic beta-cell mass in zebrafish, implicating unique roles for the NF-κB and serotonergic signaling pathways in regulating pancreatic biology.
    1. Cell Biology
    2. Computational and Systems Biology

    Active machine learning-driven experimentation to determine compound effects on protein patterns

    Armaghan W Naik et al.
    In an investigation into the effects of drugs on proteins, an active machine learning algorithm chose which sets of experiments to perform and was able to learn an accurate model of the effects after doing only a fraction of the experiments.
    1. Neuroscience

    Characterizing a psychiatric symptom dimension related to deficits in goal-directed control

    Claire M Gillan et al.
    A dimensional approach to psychiatry demonstrates the specificity and generalizability of a neurocognitive marker of compulsive behavior and intrusive thought via large-scale online testing.
    1. Neuroscience

    Analysis of ultrasonic vocalizations from mice using computer vision and machine learning

    Antonio HO Fonseca et al.
    An open-source tool based on computational vision and machine learning shows high accuracy and sensitivity in the analysis of ultrasonic vocalizations.
    1. Neuroscience

    SpikeInterface, a unified framework for spike sorting

    Alessio P Buccino et al.
    SpikeInterface is an open-source software framework designed to build full analysis pipelines for extracellular recordings in a seamless and reproducible way.
    1. Neuroscience

    Tuning of olfactory cortex ventral tenia tecta neurons to distinct task elements of goal-directed behavior

    Kazuki Shiotani et al.
    Individual neurons of ventral tenia tecta which is a part of olfactory cortex tune to specific time windows in the behavioral context during odor-guided goal-directed behaviors.