#inhibitory
Live, measured metrics for the hashtag #inhibitory from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #inhibitory
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 21:01 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 21:01 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 21:01 UTCEverything below is measured over the latest 7 public posts (spanning ~44949 hours).
Posting hours (UTC)
Languages: English (5) · German (1) · Spanish (1)
Avg boosts / post: 2.1
Top of the latest posts
How do #NeuralNetworks generate diverse and variable outputs? This study of the larval #fruitfly locomotor system shows that relatively simple sets of #inhibitory circuit motifs can generate a surprising degree of diversity & variability in
If you liked our lab’s SFN poster from @saman, here’s the #preprint, just up! Laminar CA1 recordings in freely moving🐒 🛜 and that buys us some interesting fields in task and overnight #sleep, #inhibitory cell responses, and best of all: s
@DrYohanJohn this is a great reference work I use in class! Does anyone out there have something more recent? That is, are there important revisions to this story that I should be teaching? Also, should we not just cave and call them #inhib
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/inhibitory