ActivityPub Viewer

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.

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{ "@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", "Hashtag": "as:Hashtag" } ], "id": "https://neuromatch.social/users/elduvelle/statuses/109661551627333944", "type": "Note", "summary": null, "inReplyTo": null, "published": "2023-01-09T22:14:44Z", "url": "https://neuromatch.social/@elduvelle/109661551627333944", "attributedTo": "https://neuromatch.social/users/elduvelle", "to": [ "https://www.w3.org/ns/activitystreams#Public" ], "cc": [ "https://neuromatch.social/users/elduvelle/followers", "https://fediscience.org/users/eLife" ], "sensitive": false, "atomUri": "https://neuromatch.social/users/elduvelle/statuses/109661551627333944", "inReplyToAtomUri": null, "conversation": "tag:neuromatch.social,2023-01-09:objectId=602192:objectType=Conversation", "content": "<p>Hi all πŸ˜ƒβ€‹<br>Our latest <a href=\"https://neuromatch.social/tags/Review\" class=\"mention hashtag\" rel=\"tag\">#<span>Review</span></a> on <a href=\"https://neuromatch.social/tags/SplitterCells\" class=\"mention hashtag\" rel=\"tag\">#<span>SplitterCells</span></a> is now published in <span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@eLife\" class=\"u-url mention\" rel=\"nofollow noopener\" target=\"_blank\">@<span>eLife</span></a></span> !!<br>I will probably write a real thread on it when I get a chance... for now:</p><p><em>link</em>: <a href=\"https://elifesciences.org/articles/82357\" target=\"_blank\" rel=\"nofollow noopener\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">elifesciences.org/articles/823</span><span class=\"invisible\">57</span></a></p><p><em>why</em>: some neurons in the <a href=\"https://neuromatch.social/tags/Hippocampus\" class=\"mention hashtag\" rel=\"tag\">#<span>Hippocampus</span></a> (and other brain regions) of <a href=\"https://neuromatch.social/tags/Rats\" class=\"mention hashtag\" rel=\"tag\">#<span>Rats</span></a> (and other mammals) have the fascinating ability to discriminate not just different presents, but different past or future states or trajectories in the same current situation. They could be related to <a href=\"https://neuromatch.social/tags/EpisodicMemory\" class=\"mention hashtag\" rel=\"tag\">#<span>EpisodicMemory</span></a> or <a href=\"https://neuromatch.social/tags/DecisionMaking\" class=\"mention hashtag\" rel=\"tag\">#<span>DecisionMaking</span></a> πŸ€”β€‹They are called 'trajectory-dependent cells' or <strong>Splitter Cells</strong>. πŸ”€β€‹ We tried to make sense of them!</p><p><em>what</em>: Hippocampal Splitter cells do a lot of puzzling stuff. For example there's a lot of them even in tasks that do not require the Hippocampus to be solved. They spread asymmetrically on a linear track leading to a choice point - 'past' splitters around the start and 'future' splitters towards the choice point. <a href=\"https://neuromatch.social/tags/TimeCells\" class=\"mention hashtag\" rel=\"tag\">#<span>TimeCells</span></a> cells can be splitter cells (but they're usually <a href=\"https://neuromatch.social/tags/PlaceCells\" class=\"mention hashtag\" rel=\"tag\">#<span>PlaceCells</span></a>). Splitter cells evolve with experience, or maybe it is performance, nobody really knows. ​⁉️​ ... and a lot more weird stuff</p><p><em>conclusion</em>: Two different computational models, the <strong>temporal context model</strong> and the <strong>latent state model</strong>, each explain a subset of the properties of splitter cells... so perhaps the Hippocampus implements both! But more experiments are needed to disentangle them πŸ˜„β€‹</p><p><em>now what</em>: questions or comments? Please let us know!! βœοΈβ€‹</p><p><a href=\"https://neuromatch.social/tags/Neuroscience\" class=\"mention hashtag\" rel=\"tag\">#<span>Neuroscience</span></a> <a href=\"https://neuromatch.social/tags/Cognition\" class=\"mention hashtag\" rel=\"tag\">#<span>Cognition</span></a> <a href=\"https://neuromatch.social/tags/NeuroPaper\" class=\"mention hashtag\" rel=\"tag\">#<span>NeuroPaper</span></a></p>", "contentMap": { "en": "<p>Hi all πŸ˜ƒβ€‹<br>Our latest <a href=\"https://neuromatch.social/tags/Review\" class=\"mention hashtag\" rel=\"tag\">#<span>Review</span></a> on <a href=\"https://neuromatch.social/tags/SplitterCells\" class=\"mention hashtag\" rel=\"tag\">#<span>SplitterCells</span></a> is now published in <span class=\"h-card\" translate=\"no\"><a href=\"https://fediscience.org/@eLife\" class=\"u-url mention\" rel=\"nofollow noopener\" target=\"_blank\">@<span>eLife</span></a></span> !!<br>I will probably write a real thread on it when I get a chance... for now:</p><p><em>link</em>: <a href=\"https://elifesciences.org/articles/82357\" target=\"_blank\" rel=\"nofollow noopener\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">elifesciences.org/articles/823</span><span class=\"invisible\">57</span></a></p><p><em>why</em>: some neurons in the <a href=\"https://neuromatch.social/tags/Hippocampus\" class=\"mention hashtag\" rel=\"tag\">#<span>Hippocampus</span></a> (and other brain regions) of <a href=\"https://neuromatch.social/tags/Rats\" class=\"mention hashtag\" rel=\"tag\">#<span>Rats</span></a> (and other mammals) have the fascinating ability to discriminate not just different presents, but different past or future states or trajectories in the same current situation. They could be related to <a href=\"https://neuromatch.social/tags/EpisodicMemory\" class=\"mention hashtag\" rel=\"tag\">#<span>EpisodicMemory</span></a> or <a href=\"https://neuromatch.social/tags/DecisionMaking\" class=\"mention hashtag\" rel=\"tag\">#<span>DecisionMaking</span></a> πŸ€”β€‹They are called 'trajectory-dependent cells' or <strong>Splitter Cells</strong>. πŸ”€β€‹ We tried to make sense of them!</p><p><em>what</em>: Hippocampal Splitter cells do a lot of puzzling stuff. For example there's a lot of them even in tasks that do not require the Hippocampus to be solved. They spread asymmetrically on a linear track leading to a choice point - 'past' splitters around the start and 'future' splitters towards the choice point. <a href=\"https://neuromatch.social/tags/TimeCells\" class=\"mention hashtag\" rel=\"tag\">#<span>TimeCells</span></a> cells can be splitter cells (but they're usually <a href=\"https://neuromatch.social/tags/PlaceCells\" class=\"mention hashtag\" rel=\"tag\">#<span>PlaceCells</span></a>). Splitter cells evolve with experience, or maybe it is performance, nobody really knows. ​⁉️​ ... and a lot more weird stuff</p><p><em>conclusion</em>: Two different computational models, the <strong>temporal context model</strong> and the <strong>latent state model</strong>, each explain a subset of the properties of splitter cells... so perhaps the Hippocampus implements both! But more experiments are needed to disentangle them πŸ˜„β€‹</p><p><em>now what</em>: questions or comments? Please let us know!! βœοΈβ€‹</p><p><a href=\"https://neuromatch.social/tags/Neuroscience\" class=\"mention hashtag\" rel=\"tag\">#<span>Neuroscience</span></a> <a href=\"https://neuromatch.social/tags/Cognition\" class=\"mention hashtag\" rel=\"tag\">#<span>Cognition</span></a> <a href=\"https://neuromatch.social/tags/NeuroPaper\" class=\"mention hashtag\" rel=\"tag\">#<span>NeuroPaper</span></a></p>" }, "attachment": [], "tag": [ { "type": "Mention", "href": "https://fediscience.org/users/eLife", "name": "@eLife@fediscience.org" }, { "type": "Hashtag", "href": "https://neuromatch.social/tags/review", "name": "#review" }, { "type": "Hashtag", "href": "https://neuromatch.social/tags/splittercells", "name": "#splittercells" }, { "type": "Hashtag", "href": "https://neuromatch.social/tags/hippocampus", "name": "#hippocampus" }, { "type": "Hashtag", "href": "https://neuromatch.social/tags/rats", "name": "#rats" }, { "type": "Hashtag", "href": "https://neuromatch.social/tags/episodicmemory", "name": "#episodicmemory" }, { "type": "Hashtag", "href": "https://neuromatch.social/tags/decisionmaking", "name": "#decisionmaking" }, { "type": "Hashtag", "href": "https://neuromatch.social/tags/timecells", "name": "#timecells" }, { "type": "Hashtag", "href": "https://neuromatch.social/tags/placecells", "name": "#placecells" }, { "type": "Hashtag", "href": "https://neuromatch.social/tags/neuroscience", "name": "#neuroscience" }, { "type": "Hashtag", "href": "https://neuromatch.social/tags/cognition", "name": "#cognition" }, { "type": "Hashtag", "href": "https://neuromatch.social/tags/neuropaper", "name": "#neuropaper" } ], "replies": { "id": "https://neuromatch.social/users/elduvelle/statuses/109661551627333944/replies", "type": "Collection", "first": { "type": "CollectionPage", "next": "https://neuromatch.social/users/elduvelle/statuses/109661551627333944/replies?only_other_accounts=true&page=true", "partOf": "https://neuromatch.social/users/elduvelle/statuses/109661551627333944/replies", "items": [] } }, "likes": { "id": "https://neuromatch.social/users/elduvelle/statuses/109661551627333944/likes", "type": "Collection", "totalItems": 64 }, "shares": { "id": "https://neuromatch.social/users/elduvelle/statuses/109661551627333944/shares", "type": "Collection", "totalItems": 71 } }