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",
"litepub": "http://litepub.social/ns#",
"directMessage": "litepub:directMessage"
}
],
"id": "https://neuromatch.social/users/NicoleCRust/statuses/109502133416060959/replies?page=true",
"type": "CollectionPage",
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{
"id": "https://neuromatch.social/users/NicoleCRust/statuses/109502303422507487",
"type": "Note",
"summary": null,
"inReplyTo": "https://neuromatch.social/users/NicoleCRust/statuses/109502133416060959",
"published": "2022-12-12T19:15:49Z",
"url": "https://neuromatch.social/@NicoleCRust/109502303422507487",
"attributedTo": "https://neuromatch.social/users/NicoleCRust",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
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],
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"conversation": "tag:fediscience.org,2022-11-14:objectId=3628115:objectType=Conversation",
"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@sandervanbree\" class=\"u-url mention\">@<span>sandervanbree</span></a></span>: I really like the way that you lay out what a cognitive mechanism is (and is not). I recently wrote a short piece emphasizing the dynamical systems perspective. In your piece, you use decision making as an example; we use the complementary example of working memory. </p><p>I would be curious to hear your thoughts on whether/how you see Epistemic Iteration (Chang) as the way forward for converging on mechanistic explanations.</p><p><a href=\"https://direct.mit.edu/jocn/article/doi/10.1162/jocn_a_01950/114112/Unraveling-the-Entangled-Brain-How-Do-We-Go-About\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">direct.mit.edu/jocn/article/do</span><span class=\"invisible\">i/10.1162/jocn_a_01950/114112/Unraveling-the-Entangled-Brain-How-Do-We-Go-About</span></a></p><p>or</p><p><a href=\"https://www.sas.upenn.edu/psych/rust-lab/DruckmannRust_Commentary_final.pdf\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">sas.upenn.edu/psych/rust-lab/D</span><span class=\"invisible\">ruckmannRust_Commentary_final.pdf</span></a></p>",
"contentMap": {
"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@sandervanbree\" class=\"u-url mention\">@<span>sandervanbree</span></a></span>: I really like the way that you lay out what a cognitive mechanism is (and is not). I recently wrote a short piece emphasizing the dynamical systems perspective. In your piece, you use decision making as an example; we use the complementary example of working memory. </p><p>I would be curious to hear your thoughts on whether/how you see Epistemic Iteration (Chang) as the way forward for converging on mechanistic explanations.</p><p><a href=\"https://direct.mit.edu/jocn/article/doi/10.1162/jocn_a_01950/114112/Unraveling-the-Entangled-Brain-How-Do-We-Go-About\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">direct.mit.edu/jocn/article/do</span><span class=\"invisible\">i/10.1162/jocn_a_01950/114112/Unraveling-the-Entangled-Brain-How-Do-We-Go-About</span></a></p><p>or</p><p><a href=\"https://www.sas.upenn.edu/psych/rust-lab/DruckmannRust_Commentary_final.pdf\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">sas.upenn.edu/psych/rust-lab/D</span><span class=\"invisible\">ruckmannRust_Commentary_final.pdf</span></a></p>"
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"shares": {
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]
}