ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2015
Anatomical identification of extracellularly recorded cells in large-scale multielectrode recordings.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- Diversity and Feature Selectivity of Primate Retinal Ganglion Cells.Annual review of vision science · 2026Review
- Projection targeting with phototagging to study the structure and function of retinal ganglion cells.Cell reports methods · 2026Article
- Synchronization of visual perception within the human fovea.Nature neuroscience · 2025Article
- Decomposition of retinal ganglion cell electrical images for cell type and functional inference.bioRxiv : the preprint server for biology · 2025Article
- Direct-Print 3D Electrodes for Large-Scale, High-Density, and Customizable Neural Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Article
- Liquid-metal-based three-dimensional microelectrode arrays integrated with implantable ultrathin retinal prosthesis for vision restoration.Nature nanotechnology · 2024Article
- Inferring light responses of primate retinal ganglion cells using intrinsic electrical signatures.Journal of neural engineering · 2023Article
- High-Fidelity Reproduction of Visual Signals by Electrical Stimulation in the Central Primate Retina.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Focal electrical stimulation of human retinal ganglion cells for vision restoration.Journal of neural engineering · 2022Article
- Cortical Representation of Touch in Silico.Neuroinformatics · 2022Article
- A novel approach to the functional classification of retinal ganglion cells.Open biology · 2022Article
- Large-scale neural recordings call for new insights to link brain and behavior.Nature neuroscience · 2022Review
- Morphological Factors that Underlie Neural Sensitivity to Stimulation in the Retina.Advanced nanobiomed research · 2021Article
- Spatially patterned bi-electrode epiretinal stimulation for axon avoidance at cellular resolution.Journal of neural engineering · 2021Article
- Optogenetic therapy: high spatiotemporal resolution and pattern discrimination compatible with vision restoration in non-human primates.Communications biology · 2021Article
- Computational challenges and opportunities for a bi-directional artificial retina.Journal of neural engineering · 2020Article
- Global Motion Processing by Populations of Direction-Selective Retinal Ganglion Cells.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- A template-matching algorithm for laminar identification of cortical recording sites from evoked response potentials.Journal of neurophysiology · 2020Article
- SpikeForest, reproducible web-facing ground-truth validation of automated neural spike sorters.eLife · 2020Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
This study combines for the first time two major approaches to understanding the function and structure of neural circuits: large-scale multielectrode recordings, and confocal imaging of labeled neurons. To achieve this end, we develop a novel approach to the central problem of anatomically identifying recorded cells, based on the electrical image: the spatiotemporal pattern of voltage deflections induced by spikes on a large-scale, high-density multielectrode array. Recordings were performed from identified ganglion cell types in the macaque retina. Anatomical images of cells in the same preparation were obtained using virally transfected fluorescent labeling or by immunolabeling after fixation. The electrical image was then used to locate recorded cell somas, axon initial segments, and axon trajectories, and these signatures were used to identify recorded cells. Comparison of anatomical and physiological measurements permitted visualization and physiological characterization of numerically dominant ganglion cell types with high efficiency in a single preparation.
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Registered trials
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