ArticleNature neuroscience2010
Parallel processing of visual space by neighboring neurons in mouse visual cortex.
Article in Nature neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers.
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Who cites it
111 citing papers in PubMed, 222 citations in OpenAlex.
- Improved inference of latent neural states from calcium imaging data.bioRxiv : the preprint server for biology · 2025Article
- Characterizing optogenetically mediated rebound effects in anaesthetized mouse primary visual cortex.The Journal of physiology · 2025Article
- Recurrent cortical networks encode natural sensory statistics via sequence filtering.bioRxiv : the preprint server for biology · 2025Article
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- In vivo dual-plane 3-photon microscopy: spanning the depth of the mouse neocortex.Biomedical optics express · 2024Article
- All-optical interrogation of brain-wide activity in freely swimming larval zebrafish.iScience · 2024Article
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- Dynamic Recruitment of the Feedforward and Recurrent Mechanism for Black-White Asymmetry in the Primary Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Joint representations of color and form in mouse visual cortex described by random pooling from rods and cones.Journal of neurophysiology · 2023Article
- Luminance Contrast Shifts Dominance Balance between ON and OFF Pathways in Human Vision.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- NeuroSeg-II: A deep learning approach for generalized neuron segmentation in two-photon CaFrontiers in cellular neuroscience · 2023Article
- Thalamocortical boutons cluster by ON/OFF responses in mouse primary visual cortex.Journal of neurophysiology · 2023Article
- Cone opponent functional domains in primary visual cortex combine signals for color appearance mechanisms.Nature communications · 2022Article
- SpecSeg is a versatile toolbox that segments neurons and neurites in chronic calcium imaging datasets based on low-frequency cross-spectral power.Cell reports methods · 2022Article
- Review of data processing of functional optical microscopy for neuroscience.Neurophotonics · 2022Review
- Review on data analysis methods for mesoscale neural imagingNeurophotonics · 2022Article
- Selective representations of texture and motion in mouse higher visual areas.Current biology : CB · 2022Article
- Tracking longitudinal population dynamics of single neuronal calcium signal using SCOUT.Cell reports methods · 2022Article
- ON/OFF domains shape receptive field structure in mouse visual cortex.Nature communications · 2022Article
- A deep-learning approach for online cell identification and trace extraction in functional two-photon calcium imaging.Nature communications · 2022Article
51 more citing papers are in PubMed but not listed here.
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Visual cortex shows smooth retinotopic organization on the macroscopic scale, but it is unknown how receptive fields are organized at the level of neighboring neurons. This information is crucial for discriminating among models of visual cortex. We used in vivo two-photon calcium imaging to independently map ON and OFF receptive field subregions of local populations of layer 2/3 neurons in mouse visual cortex. Receptive field subregions were often precisely shared among neighboring neurons. Furthermore, large subregions seem to be assembled from multiple smaller, non-overlapping subregions of other neurons in the same local population. These experiments provide, to our knowledge, the first characterization of the diversity of receptive fields in a dense local network of visual cortex and reveal elementary units of receptive field organization. Our results suggest that a limited pool of afferent receptive fields is available to a local population of neurons and reveal new organizational principles for the neural circuitry of the mouse visual cortex.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.