Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–10 of 10 results
Advanced filters: Author: Joshua H. Siegle 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

  • The synchronization of fast-spiking cortical interneurons (FS) produces gamma-like oscillations or ‘FS-gamma’. In this study, Siegle and colleagues found that the induction of FS gamma in the primary sensory cortex of mice performing a tactile task could enhance their detection of less salient stimuli.

    • Joshua H Siegle
    • Dominique L Pritchett
    • Christopher I Moore
    Research
    Nature Neuroscience
    Volume: 17, P: 1371-1379

  • Using optogenetics and multi-electrode recording in behaving mice, the authors find that briefly driving the thalamic reticular nucleus (TRN) switches thalamocortical firing mode and generates neocortical spindles, which have been implicated in memory and disease. These findings provide causal support for the idea that the TRN is involved in state regulation and introduce a new model for addressing the role of spindles in behavior.

    • Michael M Halassa
    • Joshua H Siegle
    • Christopher I Moore
    Research
    Nature Neuroscience
    Volume: 14, P: 1118-1120

  • 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

  • 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

  • Simultaneous electrophysiological recordings are obtained from multiple brain regions using Neuropixels probes. The procedure covers the implantation of a headframe, the targeted positioning of probes and their insertion through a perforated imaging window.

    • Séverine Durand
    • Greggory R. Heller
    • Shawn R. Olsen
    Protocols
    Nature Protocols
    Volume: 18, P: 424-457