#learningandmemory
Live, measured metrics for the hashtag #learningandmemory from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #learningandmemory
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.social (Mastodon public tags API) · fetched 2026-10-24 13:38 UTC2 uses by 2 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-10-24 13:38 UTCNo related tags with measured usage found for #learningandmemory.
Live pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-24 13:38 UTCEverything below is measured over the latest 40 public posts (spanning ~44907 hours).
Posting hours (UTC) — busiest: 11:00
Languages: English (40)
Avg boosts / post: 1.2
Top of the latest posts
@DrYohanJohn Let’s bring back into the limelight Jurgen Schmidhuber’s ~2009 take on compression as the root of a lot that goes on in learning and its impact/causality on beauty, novelty, boringness/interestingness, and action selection. “Dr
"Evolution, Discovery, and Interpretations of Arthropod Mushroom Bodies", Strausfeld et al. 1998 https://learnmem.cshlp.org/content/5/1/11.long "Mushroom bodies were discovered in 1850 by the French biologist Félix Dujardin, who called thes
“No evidence for aversive associative olfactory memory through metamorphosis in Drosophila”, Poppinga et al. 2026 (André Fiala’s lab). https://journals.biologists.com/bio/article/doi/10.1242/bio.062512/372288 Puts to rest the Tully et al. 1
#learningandmemory across platforms
every network with a public tag surfaceFollow #learningandmemory straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/learningandmemory