A small tool to view real-world ActivityPub objects as JSON! Enter a URL
or username from Mastodon or a similar service below, and we'll send a
request with
the right
Accept
header
to the server to view the underlying object.
{
"@context": [
"https://www.w3.org/ns/activitystreams",
{
"ostatus": "http://ostatus.org#",
"atomUri": "ostatus:atomUri",
"inReplyToAtomUri": "ostatus:inReplyToAtomUri",
"conversation": "ostatus:conversation",
"sensitive": "as:sensitive",
"toot": "http://joinmastodon.org/ns#",
"votersCount": "toot:votersCount",
"Hashtag": "as:Hashtag"
}
],
"id": "https://mathstodon.xyz/users/albertcardona/statuses/112026402916075929",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2024-03-02T13:47:31Z",
"url": "https://mathstodon.xyz/@albertcardona/112026402916075929",
"attributedTo": "https://mathstodon.xyz/users/albertcardona",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
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],
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"inReplyToAtomUri": null,
"conversation": "tag:mathstodon.xyz,2024-03-02:objectId=87334356:objectType=Conversation",
"content": "<p>"a connectome is often insufficient to constrain the dynamics of networks that perform a specific task, illustrating the difficulty of inferring function from connectivity alone. However, recordings from a small subset of neurons can remove this degeneracy, ... Our theory can also prioritize which neurons to record from to most efficiently infer unmeasured network activity."</p><p>Beiran and Litwin-Kumar, 2024<br /><a href=\"https://www.biorxiv.org/content/10.1101/2024.02.22.581667v1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">biorxiv.org/content/10.1101/20</span><span class=\"invisible\">24.02.22.581667v1</span></a></p><p><a href=\"https://mathstodon.xyz/tags/connectomics\" class=\"mention hashtag\" rel=\"tag\">#<span>connectomics</span></a> <a href=\"https://mathstodon.xyz/tags/neuroscience\" class=\"mention hashtag\" rel=\"tag\">#<span>neuroscience</span></a></p>",
"contentMap": {
"en": "<p>"a connectome is often insufficient to constrain the dynamics of networks that perform a specific task, illustrating the difficulty of inferring function from connectivity alone. However, recordings from a small subset of neurons can remove this degeneracy, ... Our theory can also prioritize which neurons to record from to most efficiently infer unmeasured network activity."</p><p>Beiran and Litwin-Kumar, 2024<br /><a href=\"https://www.biorxiv.org/content/10.1101/2024.02.22.581667v1\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">biorxiv.org/content/10.1101/20</span><span class=\"invisible\">24.02.22.581667v1</span></a></p><p><a href=\"https://mathstodon.xyz/tags/connectomics\" class=\"mention hashtag\" rel=\"tag\">#<span>connectomics</span></a> <a href=\"https://mathstodon.xyz/tags/neuroscience\" class=\"mention hashtag\" rel=\"tag\">#<span>neuroscience</span></a></p>"
},
"attachment": [],
"tag": [
{
"type": "Hashtag",
"href": "https://mathstodon.xyz/tags/neuroscience",
"name": "#neuroscience"
},
{
"type": "Hashtag",
"href": "https://mathstodon.xyz/tags/connectomics",
"name": "#connectomics"
}
],
"replies": {
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"type": "Collection",
"first": {
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"next": "https://mathstodon.xyz/users/albertcardona/statuses/112026402916075929/replies?only_other_accounts=true&page=true",
"partOf": "https://mathstodon.xyz/users/albertcardona/statuses/112026402916075929/replies",
"items": []
}
},
"likes": {
"id": "https://mathstodon.xyz/users/albertcardona/statuses/112026402916075929/likes",
"type": "Collection",
"totalItems": 2
},
"shares": {
"id": "https://mathstodon.xyz/users/albertcardona/statuses/112026402916075929/shares",
"type": "Collection",
"totalItems": 3
}
}