#hodgkinhuxley
Live, measured metrics for the hashtag #hodgkinhuxley from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #hodgkinhuxley
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Day-by-day usage
measured · mastodon.social (Mastodon public tags API) · fetched 2026-10-27 14:13 UTC0 uses by 0 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 2026-10-27 14:13 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-27 14:13 UTCEverything below is measured over the latest 4 public posts (spanning ~12802 hours).
Posting hours (UTC)
Languages: English (4)
Avg boosts / post: 5
Top of the latest posts
@DhananjayThakur You might also enjoy this #neurolecture recalling #hodgkinhuxley #neurohistory seminal quintet of papers, remarking how became aware of their model limitations, written in the 1952 d/4th paper: Forgotten lesson in nowadays
@andrewplested Oh Tx A! What a pleasure reading classic pioneers humble candid remarks! Contrast to nowadays endless new-papers new-models proposals without any scientific model self awareness on bias towards invalidation, and lacking such
An important step in #ComputationalNeuroscience 🧠💻 was the development of the #HodgkinHuxley model, for which Hodgkin and Huxley received the #NobelPrize in 1963. The model describes the dynamics of the #MembranePotential of a #neuron 🔬
#hodgkinhuxley across platforms
every network with a public tag surfaceFollow #hodgkinhuxley 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/hodgkinhuxley