ArticleFrontiers in neuroscience2015
A method for electrophysiological characterization of hamster retinal ganglion cells using a high-density CMOS microelectrode array.
Article in Frontiers in neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 16 citations in OpenAlex.
- Gap junctions fine-tune ganglion cell signals to equalize response kinetics within a given electrically coupled array.iScience · 2024Article
- Effect of epiretinal electrical stimulation on the glial cells in a rabbit retinal eyecup model.Frontiers in neuroscience · 2024Article
- Review
- Technologies to Study Action Potential Propagation With a Focus on HD-MEAs.Frontiers in cellular neuroscience · 2019Article
- A method for single-neuron chronic recording from the retina in awake mice.Science (New York, N.Y.) · 2018Article
- Non-parametric Physiological Classification of Retinal Ganglion Cells in the Mouse Retina.Frontiers in cellular neuroscience · 2018Article
- Technical feasibility study for production of tailored multielectrode arrays and patterning of arranged neuronal networks.PloS one · 2018Article
- Mechanisms creating transient and sustained photoresponses in mammalian retinal ganglion cells.The Journal of general physiology · 2017Article
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
Abstract
Knowledge of neuronal cell types in the mammalian retina is important for the understanding of human retinal disease and the advancement of sight-restoring technology, such as retinal prosthetic devices. A somewhat less utilized animal model for retinal research is the hamster, which has a visual system that is characterized by an area centralis and a wide visual field with a broad binocular component. The hamster retina is optimally suited for recording on the microelectrode array (MEA), because it intrinsically lies flat on the MEA surface and yields robust, large-amplitude signals. However, information in the literature about hamster retinal ganglion cell functional types is scarce. The goal of our work is to develop a method featuring a high-density (HD) complementary metal-oxide-semiconductor (CMOS) MEA technology along with a sequence of standardized visual stimuli in order to categorize ganglion cells in isolated Syrian Hamster (Mesocricetus auratus) retina. Since the HD-MEA is capable of recording at a higher spatial resolution than most MEA systems (17.5 μm electrode pitch), we were able to record from a large proportion of RGCs within a selected region. Secondly, we chose our stimuli so that they could be run during the experiment without intervention or computation steps. The visual stimulus set was designed to activate the receptive fields of most ganglion cells in parallel and to incorporate various visual features to which different cell types respond uniquely. Based on the ganglion cell responses, basic cell properties were determined: direction selectivity, speed tuning, width tuning, transience, and latency. These properties were clustered to identify ganglion cell types in the hamster retina. Ultimately, we recorded up to a cell density of 2780 cells/mm(2) at 2 mm (42°) from the optic nerve head. Using five parameters extracted from the responses to visual stimuli, we obtained seven ganglion cell types.
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