ReviewCurrent opinion in neurobiology2012
Building retinal connectomes.
Review in Current opinion in neurobiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Impact of Aii Amacrine Cell Rewiring in a Pathoconnectome-Based Computational Model of Early Retinal Degeneration.bioRxiv : the preprint server for biology · 2026Article
- Retinal Pathoconnectomics: A Window into Neurodegeneration.Advances in experimental medicine and biology · 2023Article
- Peptide-based immunotherapy against oxidized elastin ameliorates pathology in mouse model of smoke-induced ocular injury.Experimental eye research · 2021Article
- A pathoconnectome of early neurodegeneration: Network changes in retinal degeneration.Experimental eye research · 2020Article
- Rod-cone crossover connectome of mammalian bipolar cells.The Journal of comparative neurology · 2019Article
- Fractional integral-like processing in retinal cones reduces noise and improves adaptation.PloS one · 2018Article
- Retinal remodeling in human retinitis pigmentosa.Experimental eye research · 2016Review
- Synaptic Mechanisms Generating Orientation Selectivity in the ON Pathway of the Rabbit Retina.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016Article
- A resource from 3D electron microscopy of hippocampal neuropil for user training and tool development.Scientific data · 2015Article
- Input clustering and the microscale structure of local circuits.Frontiers in neural circuits · 2014Review
- Genetics of gene expression in CNS.International review of neurobiology · 2014Review
- Retinal connectomics: towards complete, accurate networks.Progress in retinal and eye research · 2013Review
- ON cone bipolar cell axonal synapses in the OFF inner plexiform layer of the rabbit retina.The Journal of comparative neurology · 2013Article
- Automated transmission-mode scanning electron microscopy (tSEM) for large volume analysis at nanoscale resolution.PloS one · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Understanding vertebrate vision depends on knowing, in part, the complete network graph of at least one representative retina. Acquiring such graphs is the business of synaptic connectomics, emerging as a practical technology due to improvements in electron imaging platform control, management software for large-scale datasets, and availability of data storage. The optimal strategy for building complete connectomes uses transmission electron imaging with 2 nm or better resolution, molecular tags for cell identification, open-access data volumes for navigation, and annotation with open-source tools to build 3D cell libraries, complete network diagrams and connectivity databases. The first forays into retinal connectomics have shown that even nominally well-studied cells have much richer connection graphs than expected.
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.