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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"id": "https://mastodon.social/users/MatteoCarandini/statuses/111788496141120995",
"type": "Note",
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"published": "2024-01-20T13:24:42Z",
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"content": "<p>All models are wrong, but some are more useful than others. When describing sensory decisions, logistic classification is often more useful:</p><p>- it is trivial to add predictors, both sensory and non-sensory; <br />- it has a simple linear interpretation in terms of log odds; <br />- it is great at describing the effects of brain manipulations.</p><p>Also:<br />- it comes straight out of probability theory;<br />- it incorporates the Bayesian assumption from the get-go; <br />- it is easily extended to multiple alternatives.</p>",
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"en": "<p>All models are wrong, but some are more useful than others. When describing sensory decisions, logistic classification is often more useful:</p><p>- it is trivial to add predictors, both sensory and non-sensory; <br />- it has a simple linear interpretation in terms of log odds; <br />- it is great at describing the effects of brain manipulations.</p><p>Also:<br />- it comes straight out of probability theory;<br />- it incorporates the Bayesian assumption from the get-go; <br />- it is easily extended to multiple alternatives.</p>"
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"updated": "2024-01-21T13:24:53Z",
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"name": "Examples of psychometric curves fitted by the logistic classification model, showing data from the @internationalbrainlab@mastodon.world, from @ArminLak@neuromatch.social, and from the Churchland lab.",
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