Telegram RegisterThe public register of Telegram

Channel

the last neural cell

@neural_cell

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

1,448subscribers

+3 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001794454208
TypeChannel
Username@neural_cell
CreatedBetween 1 January 2022 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/neural_cell

Growth

1,4451,4481,446.57 August 2026 — 1,445 subscribers7 August 2026 — 1,445 subscribers11 August 2026 — 1,448 subscribers7 August 202611 August 2026
3 measurements spanning 4 days, net +3. 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 1,445–1,448 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 04:171,448+3
7 Aug 2026, 10:021,445no change
7 Aug 2026, 09:551,445first reading

Engagement

16 posts held, back to 27 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 16 posts for this entry, the most recent from 16 June 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

219 reactions across 13 posts, in 8 distinct kinds. The most used accounts for 44.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9744.3%
🔥8036.5%
🤓156.85%
104.57%
🤯104.57%
custom 532813498915646290352.28%
🤔10.457%
🥴10.457%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.

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 13 of the 16 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 219reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 27 January 2026 to 16 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
3
across the posts below
Posts paid on
1
of 15 we hold a reading for · 7%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @neural_cell. 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 16 most recent posts we hold for this entry, published 27 January 2026 to 16 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

16 Jun 2026, 12:46 UTC327 views5 reactionsread 7 August 2026
Forwarded from @liftfeed

Та самая группа из UC Davis, которая работает по программе BrainGate2, публикует отчет: они подробно пишут про опыт использования внутрикортикального интерфейса «мозг-компьютер» для управления речью и курсором в домашних условиях в течение нескольких месяцев. Их 45-летний пациент с БАС за время исследования произнес 183 060 предложений. #prosthesis | #brain | #readout

5

Signed Aleksandr Kovalev

2 Jun 2026, 14:53 UTC574 views2 reactionsread 7 August 2026

https://ccunpacked.dev/#agent-loop

🔥2

Signed Aleksejs Timčenko

20 Apr 2026, 18:26 UTC875 views37 reactionsread 7 August 2026
Photo

Шестой день после имплантации и первая запись в лабе Сегодня мы увидели намного больше спайков. Мозг все ещё адаптируется к импланту. Записали спонтанную активностиь и также успели про стимулировать несколько электродов, однако пока что без фосфенов. Они должны появиться позднее, примерно на 2-3 недели. Сделал фото: Antonio Lozano Записал активность: Adrian Villamarin Руководил процессом: Eduardo Fernandez (наш про

19🔥135

Signed Aleksandr Kovalev

16 Apr 2026, 17:02 UTC≈1,120 views51 reactionsread 7 August 2026
Photo

Мы начали работать со слепым пациентом. Напомню, что я в лабе уже чуть больше года и занимаюсь визуальными имплантами. Пару дней назад мы имплантировали электроды Utah array в визуальную кору новому пациенту. У нас теперь есть шесть месяцев на эксперименты. Сегодня был первый день записи данных. Записали спонтанную активность с закрытыми и открытыми глазами. Сигналы пишутся, спайки есть, импеданс нормальный. Мы ис

29🔥16custom 532813498915646290351

Signed Aleksandr Kovalev

24 Mar 2026, 08:59 UTC794 views14 reactionsread 7 August 2026
Photo

Neuro embeddings of resting state 😅 Первый раз вижу такие колечки) На самом деле в этих кольцах (маленьком и большом) в основном артефакты

🤯9🤓5

Signed Aleksandr Kovalev

11 Mar 2026, 13:03 UTC≈1,950 views17 reactionsread 7 August 2026

The most tasty neuro papers in 2025 Мой личный, абсолютно субъективный список лучших статей по нейро-декодингу за 2025 год. Тренд года: кидай больше данных и молись чтобы стало лучше. Но главный вопрос по-прежнему в том, как объединить данные между животными, областями мозга и типами электродов в одной модели. Разбил 10 статей на 4 секции: инвазивные сигналы, неинвазивные, нейро софт и напоследок принес статью из н

🤓75🔥41

Signed Aleksandr Kovalev

10 Mar 2026, 17:45 UTC645 views12 reactionsread 7 August 2026

ReVision Implant получает FDA breakthrough Бельгийцы из ReVision Implant получили FDA breakthrough device designation на свой Occular - кортикальный визуальный протез с 1000+ гибкими микроэлектродами прямо в visual cortex, минуя ретину и оптический нерв полностью. Первый trial в октябре 2026, полноценные испытания на слепых волонтерах - лето 2027. link: https://www.massdevice.com/revision-implant-fda-breakthrough-v

🔥102

Signed Aleksandr Kovalev

3 Mar 2026, 17:42 UTC655 views13 reactionsread 7 August 2026
Photo

tasty aaai-26 papers 🔹 MindSight: Bio-Inspired Neural Architecture for Visual Restoration via Cortical Electrical Stimulation tl;dr: система учится генерировать паттерны напряжений на электродах чтобы создавать нужные зрительные образы через стимуляцию коры. Протестировано на реальных макаках. Запись с 1280 каналов V1, декодирование из 50мс окон MUA, предсказание тока на каждый электрод. Два пути обучения: через MU

6🔥4🤓3

Signed Aleksandr Kovalev

10 Feb 2026, 12:01 UTC696 views5 reactionsread 7 August 2026
Photo

Что происходит в LLM. Февраль 2026 Несмотря на то, что LLM — главный хайп последних 2 лет, вокруг больших моделей остаётся много путаницы и заблуждений. Чем отличаются модели? Надо ли доучивать модель? Хостить или ходить по API? На что можно рассчитывать при построении агента или RAG-системы? Почему у кого-то работают RAG и агенты, а кто-то вовсе в них разочаровался? Deepschool ответит на эти и другие вопросы на он

🔥32

Signed Aleksandr Kovalev

7 Feb 2026, 09:57 UTC803 views30 reactionsread 7 August 2026
Photo

Впечатление от AAAI 26. Я съездил на свою первую AI конференцию. Показывал нашу работу над визуальными имплантами на воркшопе AI for Neuro, общался с кучей людей, слушал доклады. Расскажу, как это было. После года в Эльче (маленький город на юге Испании) Сингапур впечатляет. Всё сверкает, всё большое. Но за углом от небоскрёбов Hawker Center и Chinatown: грязно, шумно, вкусно. Еда отличная, погода с постоянными 30

17🔥92🤔1🤯1

Signed Aleksandr Kovalev

3 Feb 2026, 10:57 UTC499 viewsread 7 August 2026

Давайте поддержим ребят, они делают крутого робота гуманоида Грин! Так ещё и рассказали как они его обучали!

Signed Aleksandr Kovalev

3 Feb 2026, 10:57 UTC662 views9 reactionsread 7 August 2026
Forwarded from @CoTUnreasoning

Рад поделиться тем, что у команды частью которой Я являюсь, на HuggingFace вышел ТехРепорт по VLA, которая работает на разных роботах в том числе и нашем антропоморфном роботе - Грине (не китайском!). Если вкратце: за последний год стало ясно, что просто «навалить данных» уже не помогает. Чтобы робот перестал тупить в реальных задачах, нужно копать в сторону качества, переносимости между воплощениями и адаптацией в р

🔥72

Signed Aleksandr Kovalev

Showing the 12 most recent of 16 posts we hold for @neural_cell. 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.

Citation-graph rank

Citation-graph rank — 793,725 of 1,176,251entries 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.

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.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

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 11 August 2026 — this entry's latest reading, not the date you are reading this.

“the last neural cell” (@neural_cell), 1,448 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/neural_cell.

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.