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Showing 1–6 of 6 results
Advanced filters: Author: Michael Buice Clear advanced filters
  • How various factors dynamically influence neuronal variability is a longstanding question. Here, the authors build an encoding model to partition variability, revealing heterogeneous source contributions to individual units and state-dependent changes of variability across the visual hierarchy.

    • Shailaja Akella
    • Peter Ledochowitsch
    • Xiaoxuan Jia
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-22
  • A large, open dataset containing parallel recordings from six visual cortical and two thalamic areas of the mouse brain is presented, from which the relative timing of activity in response to visual stimuli and behaviour is used to construct a hierarchy scheme that corresponds to anatomical connectivity data.

    • Joshua H. Siegle
    • Xiaoxuan Jia
    • Christof Koch
    Research
    Nature
    Volume: 592, P: 86-92
  • This paper discusses how experimental and computational studies integrating multimodal data, such as RNA expression, connectivity and neural activity, are advancing our understanding of the architecture, mechanisms and function of cortical circuits.

    • Anton Arkhipov
    • Nuno da Costa
    • Hongkui Zeng
    Reviews
    Nature Neuroscience
    Volume: 28, P: 717-730
  • In this study, the authors show that the spatial responses of populations of grid cells are constrained to a two-dimensional activity manifold, and the relationships between pairs of grid cells are resistant to perturbation. These findings provide evidence of low-dimensional continuous attractor dynamics in the network.

    • KiJung Yoon
    • Michael A Buice
    • Ila R Fiete
    Research
    Nature Neuroscience
    Volume: 16, P: 1077-1084
  • DeepInterpolation is a self-supervised deep learning-based denoising approach for calcium imaging, electrophysiology and fMRI data. The approach increases the signal-to-noise ratio and allows extraction of more information from the processed data than from the raw data.

    • Jérôme Lecoq
    • Michael Oliver
    • Christof Koch
    Research
    Nature Methods
    Volume: 18, P: 1401-1408