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ShareScore release 0.9.0
Dataset results
7 results for “retinal wave”
rwave-1024 - Retinal Wave Dataset
<p>1024 classes of retinal waves, 1000 images per class.</p> <ul> <li>info.txt: Information regarding file structure and parameters.</li> <li>rwave-1024.tar.gz: images in class folders</li> </ul> <p>Generated using Retinal Wave Simulator https://github.com/BennyCa/Retinal-Wave-Simulator adapted from https://swindale.ecc.ubc.ca/home-page/software/retinal-wave-models/</p> <p>Used in project Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development: https://github.com/BennyCa/ReWaRD</p>
Circuit mechanisms underlying embryonic retinal waves
<p>Spontaneous activity is a hallmark of developing neural systems. In the retina, spontaneous activity comes in the form of retinal waves, comprised of three stages persisting from embryonic day 16 (E16) to eye opening at postnatal day 14 (P14). Though postnatal retinal waves have been well characterized, little is known about the spatiotemporal properties or the mechanisms mediating embryonic retinal waves, designated Stage 1 waves. Using a custom-built macroscope to record spontaneous calcium transients from whole embryonic retinas, we show that Stage 1 waves are initiated at several locations across the retina and propagate across a broad range of areas. A gap junction antagonist, meclofenamic acid, reduced the frequency and size of Stage 1 waves, nearly abolishing them. The general nAChR antagonist, hexamethonium similarly nearly abolished Stage 1 waves. Application of the α4β2 nAChR antagonist dihydro-ß-erythroidine only slightly reduced the frequency of waves but significantly reduced the number of cells that participated in waves. Thus, Stage 1 waves are mediated by a complex circuitry involving subtypes of nAChRs and gap junctions. Stage 1 waves in mice lacking the β2 subunit of the nAChRs (β2-nAChR-KO) were reduced, but in contrast to WT mice, they persisted in the hexamethonium and were completely blocked by meclofenamic acid. To assay the impact of Stage 1 waves on retinal development, we compared the spatial distribution of a subtype of retinal ganglion cells, intrinsically photosensitive retinal ganglion cells (ipRGCs), which undergo a significant amount of cell death, in WT and β2-nAChR-KO mice. We found that the developmental decrease of ipRGC density is preserved between WT and β2-nAChR-KO mice, indicating that processes regulating ipRGC distribution are not influenced by spontaneous activity.</p>
rwave-4096 - Retinal Wave Dataset
<p>4096 classes of retinal waves, 2000 images per class.</p> <ul> <li>4096_split.tar.gz: Images split into train/test/val sets (80%/10%/10%).</li> <li>4096_info.zip: Retinal Wave Simulator Parameters per Class.</li> </ul> <p>Generated using Retinal Wave Simulator https://github.com/BennyCa/Retinal-Wave-Simulator adapted from https://swindale.ecc.ubc.ca/home-page/software/retinal-wave-models/</p> <p>Used in project Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development: https://github.com/BennyCa/ReWaRD</p>
Circuit mechanisms underlying embryonic retinal waves
Open the record for dataset details and reuse information.
ANNs pre-trained on Retinal Waves
<p>Different Artificial Neural Networks (saved weights), some only pre-trained either on rwave-1024 or rwave-4096 or FractalDB1000 datasets; some fine-tuned or trained from scratch (pt_none_ft... or pt__ft... or ...scratch...) on CIFAR10/100 or ImageNet1k.</p><p>Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development - see https://github.com/BennyCa/ReWaRD for filter visualization and further fine-tuning possibilities</p><p>Pre-training and fine-tuning was conducted using the codebase https://github.com/hirokatsukataoka16/FractalDB-Pretrained-ResNet-PyTorch</p>
Transcriptomic changes in retinal ganglion cell types associated with the disruption of cholinergic retinal waves
GEO Series GSE283463. Mus musculus. 7 samples. Type: Expression profiling by high throughput sequencing.
Waves of cell death modulate the abundance and maturation of human retinal ganglion cells
GEO Series GSE305194. Homo sapiens. 16 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.