Telegram RegisterThe public register of Telegram

Channel

Innopolis Neuroscience

@Innopolis_Neuroscience

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Polls · Citations · Cite this entry

116subscribers

+0 since we began measuring on 9 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002885276987
TypeChannel
Username@Innopolis_Neuroscience
CreatedBetween 1 June 2025 and 31 August 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live10 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/Innopolis_Neuroscience

Growth

1169 Aug 2026, 19:46 — 116 subscribers10 Aug 2026, 03:41 — 116 subscribers9 Aug 2026, 19:4610 Aug 2026, 03:41
2 measurements taken within a single day. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 115–117 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 03:41116no change
9 Aug 2026, 19:46116first reading

Engagement

17 posts held, back to 1 January 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 17 posts for this entry, the most recent from 7 June 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1m 07s
Average length
34s

Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

173 reactions across 17 posts, in 8 distinct kinds. The most used accounts for 35.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤‍🔥6135.3%
🔥4626.6%
4023.1%
🤯95.20%
🎉74.05%
👍74.05%
👏21.16%
🤩10.578%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 17 of the 17 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 173reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 1 January 2026 to 7 June 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 17 we hold a reading for · 6%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Innopolis_Neuroscience. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 17 most recent posts we hold for this entry, published 1 January 2026 to 7 June 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

7 Jun 2026, 13:15 UTC328 views23 reactionsread 9 August 2026
Photo

Innopolis Neuroscience на открытии первого института мозга в Центральной Азии 🧠 В этот раз мы приняли участие в симпозиуме "Perspectives of Integrative Neuroscience", проведенный в рамках большого международного форума IFBioScFU 2026 в Алматы. Поводов для мероприятия было сразу два: выход первого номера журнала Neuroscience Perspectives и открытие первого в Центральной Азии института мозга при КазНУ - с чем мы искр

13🤯5❤‍🔥4🔥1

20 Apr 2026, 09:17 UTC665 views7 reactionsread 9 August 2026
Photo

Привет! Возвращаемся с нашей серией семинаров "Грокаем модели машинного обучения в Brain-Computer Interface"! В этот четверг продолжим разговор о Brain Foundation Models. В фокусе на этой неделе токенизация и подготовках данных для Foundation Models, а также фундаментальные ограничения существующих подходов. Когда 📅: 23 апреля (четверг), 19:00 Где📍: Университет Иннополис, аудитория 314 Тема 📚: When Tokenization W

5❤‍🔥2

2 Apr 2026, 10:55 UTC324 views19 reactionsread 9 August 2026
Video

Симуляция нервной системы Дрозофилы 🧠 В ходе работы над одним из проектов нашего научного коллектива, мы решили поделиться небольшой, но очень наглядной анимацией. Она отлично показывает, насколько красивой и завораживающей может быть вычислительная нейронаука ✨ На видео - детальная multi-entity симуляция 0.5 секунды работы мозга личинки дрозофилы. Более светлые шарики - это наиболее активные сомы нейронов. После н

🔥10🤯4❤‍🔥32

1 Mar 2026, 08:05 UTC292 views6 reactionsread 9 August 2026

Привет! Напоминаем, что сегодня у нас состоится вторая лекция из цикла "Грокаем модели машинного обучения в Brain-Computer Interface"! Будем рады всем ⚡🧠⚡ Когда 📅: сегодня, 14:00 Где📍: Университет Иннополис, аудитория 104

🔥4❤‍🔥2

25 Feb 2026, 06:23 UTC559 views11 reactionsread 9 August 2026
Photo

Приглашаем на вторую часть лекции "Грокаем модели машинного обучения в Brain-Computer Interface: Part 2. Brain Foundation Models" Продолжаем глубоко разбираться, как современные большие предобученные модели меняют игру в работе с ЭЭГ-данными. В фокусе — архитектуры, стратегии предобучения, работа с гетерогенными данными, few-shot и zero-shot сценарии, а также реальные примеры применения в BCI-задачах. • Много прак

👍7❤‍🔥2🔥1🤩1

19 Feb 2026, 06:44 UTC284 views1 reactionsread 9 August 2026
Poll

Настало время выбрать тему следующего семинара! О чем будем разговаривать?

  1. Оптимизация научных вычислений на Python: beyound map(), filter(), reduce()41%
  2. Грокаем модели машинного обучения в Brain-computer interface: Part 2, Brain Foundation Models88%

The shares total 129%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

❤‍🔥1

17 Feb 2026, 06:01 UTC284 views8 reactionsread 9 August 2026
File

Для тех, кто предпочитает текстовый формат, вот конспект

🔥5❤‍🔥3

17 Feb 2026, 06:00 UTC271 views12 reactionsread 9 August 2026
File

Спасибо всем, кто пришел вчера! Следите за анонсами. В ближайшее время расскажем о будущих семинарах! P.S. Как и обещали, делимся слайдами

🔥7❤‍🔥3👏2

12 Feb 2026, 11:50 UTC302 views6 reactionsread 9 August 2026

А в понедельник - более подробно про то, как работать с мозгом и данными с него методами машинного обучения, почему нет универсальных моделей для анализа мозговых сигналов, как эти универсальные модели можно сделать и использовать, а также снова затронем тему кризиса воспроизводимости (куда ж без него), но на этот раз арбузами не ограничимся. Добро пожаловать, всех ждём! P.S. помню что с меня статьи с прошлого семин

❤‍🔥51

12 Feb 2026, 11:44 UTC231 views10 reactions1 Starread 9 August 2026
Forwarded from @opportunitiesforyouPhoto

🧠 Грокаем модели машинного обучения в Brain-Computer Interface (BCI) Семинар от лаборатории нейронаук УИ, на котором рассмотрим модели машинного обучения в BCI Ответим на следующие вопросы: • Как найти удачную репрезентацию данных с низким signal-to-noise ratio? • Какие задачи машинное обучение решает в BCI? • В чем проблемы воспроизводимости и валидации моделей машинного обучения в области? • Что такое Foundat

🔥7❤‍🔥3

2 Feb 2026, 12:12 UTC265 views2 reactionsread 9 August 2026
Poll

Выбираем тему следующего семинара!

  1. Оптимизация научных вычислений на Python: beyound map(), filter(), reduce()45%
  2. Грокаем модели машинного обучения в Brain-computer Interface80%

The shares total 125%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

❤‍🔥2

Showing the 12 most recent of 17 posts we hold for @Innopolis_Neuroscience. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Polls

The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

19 Feb 2026, 06:44 UTCAnonymous Poll34 voters

Настало время выбрать тему следующего семинара! О чем будем разговаривать?

  1. Оптимизация научных вычислений на Python: beyound map(), filter(), reduce()41%
  2. Грокаем модели машинного обучения в Brain-computer interface: Part 2, Brain Foundation Models88%

The shares total 129%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

2 Feb 2026, 12:12 UTCAnonymous Poll40 voters

Выбираем тему следующего семинара!

  1. Оптимизация научных вычислений на Python: beyound map(), filter(), reduce()45%
  2. Грокаем модели машинного обучения в Brain-computer Interface80%

The shares total 125%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 17 most recent posts we hold, published 1 January 2026 to 7 June 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Citation-graph rank

Citation-graph rank — 1,018,785 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 10 August 2026 — this entry's latest reading, not the date you are reading this.

“Innopolis Neuroscience” (@Innopolis_Neuroscience), 116 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/Innopolis_Neuroscience.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.