ArticleJournal of neuroscience methods2012
Recording from defined populations of retinal ganglion cells using a high-density CMOS-integrated microelectrode array with real-time switchable electrode selection.
Article in Journal of neuroscience methods, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 64 citations in OpenAlex.
- Photovoltaic Stimulation of Mouse and Pig Retina With Pyrolytic Carbon Microelectrodes Integrated on High-Density Silicon Solar Cell Arrays.Advanced healthcare materials · 2026Article
- Variant-to-gene mapping identifiesbioRxiv : the preprint server for biology · 2026Article
- Advancing In Vitro Microfluidic Models for Pressure-Induced Retinal Ganglion Cell Degeneration: Current Insights and Future Directions from a Biomechanical Perspective.Micromachines · 2025Article
- Advances in large-scale electrophysiology with high-density microelectrode arrays.Lab on a chip · 2025Review
- Article
- High-density Multielectrode Array Recordings of Retinal Waves Using An Electrophysiology Platform.Journal of visualized experiments : JoVE · 2025Article
- Graphene-based microfluidic perforated microelectrode arrays for retinal electrophysiological studies.Lab on a chip · 2023Article
- Longitudinal in vivo CaProceedings of the National Academy of Sciences of the United States of America · 2022Article
- Visual properties of human retinal ganglion cells.PloS one · 2021Article
- Toward Closed-Loop Electrical Stimulation of Neuronal Systems: A Review.Bioelectricity · 2020Review
- Massively parallel microwire arrays integrated with CMOS chips for neural recording.Science advances · 2020Article
- Technologies to Study Action Potential Propagation With a Focus on HD-MEAs.Frontiers in cellular neuroscience · 2019Article
- Automatic spike sorting for high-density microelectrode arrays.Journal of neurophysiology · 2018Article
- Identification of Retinal Ganglion Cell Firing Patterns Using Clustering Analysis Supplied with Failure Diagnosis.International journal of neural systems · 2018Article
- Article
- Article
- A very large-scale microelectrode array for cellular-resolution electrophysiology.Nature communications · 2017Article
- Large scale matching of function to the genetic identity of retinal ganglion cells.Scientific reports · 2017Article
- Large-scale mapping of cortical synaptic projections with extracellular electrode arrays.Nature methods · 2017Article
- Causal evidence for retina-dependent and -independent visual motion computations in mouse cortex.Nature neuroscience · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
Abstract
In order to understand how retinal circuits encode visual scenes, the neural activity of defined populations of retinal ganglion cells (RGCs) has to be investigated. Here we report on a method for stimulating, detecting, and subsequently targeting defined populations of RGCs. The possibility to select a distinct population of RGCs for extracellular recording enables the design of experiments that can increase our understanding of how these neurons extract precise spatio-temporal features from the visual scene, and how the brain interprets retinal signals. We used light stimulation to elicit a response from physiologically distinct types of RGCs and then utilized the dynamic-configurability capabilities of a microelectronics-based high-density microelectrode array (MEA) to record their synchronous action potentials. The layout characteristics of the MEA made it possible to stimulate and record from multiple, highly overlapping RGCs simultaneously without light-induced artifacts. The high-density of electrodes and the high signal-to-noise ratio of the MEA circuitry allowed for recording of the activity of each RGC on 14±7 electrodes. The spatial features of the electrical activity of each RGC greatly facilitated spike sorting. We were thus able to localize, identify and record from defined RGCs within a region of mouse retina. In addition, we stimulated and recorded from genetically modified RGCs to demonstrate the applicability of optogenetic methods, which introduces an additional feature to target a defined cell type. The developed methodologies can likewise be applied to other neuronal preparations including brain slices or cultured neurons.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.