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Channel

LOVE: Neurobiology

@loveneurobiology

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

192subscribers

-2 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001046152414
TypeChannel
Username@loveneurobiology
CreatedBetween 1 January 2016 and 31 October 2016 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 September 2026
On Telegramt.me/loveneurobiology

Topic

Science — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 24 September 2026 and assigned it the closest of 31 fixed categories, at 92% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

1921941936 August 2026 — 194 subscribers7 August 2026 — 194 subscribers15 August 2026 — 193 subscribers12 September 2026 — 192 subscribers6 August 202612 September 2026
4 measurements spanning 37 days, net -2. 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 192–194 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Sept 2026, 18:00192-1
15 Aug 2026, 00:54193-1
7 Aug 2026, 06:02194no change
6 Aug 2026, 17:57194first reading

Engagement

20 posts held, back to 20 November 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of 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 20 posts for this entry, the most recent from 24 February 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

67 reactions across 20 posts, in 4 distinct kinds. The most used accounts for 94.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6394.0%
👏22.99%
👍11.49%
🙏11.49%

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 20 of the 20 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 67 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 20 November 2025 to 24 February 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.

Recent posts

24 Feb 2026, 12:26 UTC89 views4 reactionsread 7 August 2026

آیا تیزهوشی در زمان ترس کاهش می‌یابد؟ ✍️دکترمحمدزنوزی راد 🔸**مقدمه؛** #هوش (Intelligence) به معنای توانایی انطباق با محیط، حل مسئله و تفکر انتزاعی، همواره تحت تأثیر وضعیت‌های فیزیولوژیک بدن است. یکی از چالش‌برانگیزترین وضعیت‌های زیستی، حالت «#ترس» (Fear) یا پاسخ به تهدید است. پژوهش‌های نوین نشان می‌دهند که در لحظات #بحرانی، مغز انسان برای حفظ بقا، بخش‌های عالی و منطقی خود را به نفع سیستم‌های غریزی به حالت تعلیق در …

❤3👍1

Signed [email protected]

19 Feb 2026, 05:26 UTC75 views2 reactionsread 7 August 2026

یک زیست شناس توضیح می دهد که 👆👆👆👆 چرا نوزادان انسان اینقدر درمانده به دنیا می آیند. نکته: تکامل یک معامله استراتژیک ایجاد کرد. همرا با تست؛ Connectedness to Nature Scale

❤2

Signed [email protected]

19 Feb 2026, 05:22 UTC75 views2 reactionsread 7 August 2026

A Biologist Explains Why Human Babies Are Born So Helpless. Hint: Evolution Made A Strategic Tradeoff https://share.google/dsyxbUiduRiNIizhP 🌐 https://t.me/loveneurobiology

❤2

Signed [email protected]

10 Feb 2026, 07:30 UTC89 views6 reactionsread 7 August 2026

«دانش علوم اعصاب چه می‌گوید؟» **رشته علوم اعصاب (Neuroscience)**، سفری است به درونی‌ترین لایه‌های وجود؛ تلاشی برای گشودن رمز و رازِ آن توده‌ی خاکستری‌رنگ که نه تنها فرمانده بدن، بلکه معمارِ تمام رویاها، ترس‌ها، خاطرات و هویت ماست. در ادامه، نگاهی بیاندازیم به این دنیای شگفت‌انگیز که پلی است میان «زیست‌شناسی» و «فلسفه»؛ ۱. تلاقی علم و اعجاز: پهنه وسیع علوم اعصاب علوم اعصاب تنها یک رشته نیست، بلکه #سمفونی هماهنگی از …

❤5👏1

Signed [email protected]

10 Feb 2026, 07:20 UTC58 views4 reactionsread 7 August 2026

‍ علوم اعصاب، مطالعه‌ی «ماده» برای رسیدن به «معنا» است. این رشته به ما می‌آموزد که ما صرفاً ماشین‌های بیولوژیک نیستیم، بلکه کهکشانی در سر داریم که هر گوشه‌اش داستانی برای روایت دارد. #neuroscience #nicusmart 🌐 https://t.me/loveneurobiology

❤3👏1

Signed [email protected]

8 Feb 2026, 09:45 UTC57 views3 reactionsread 7 August 2026
Forwarded from @kids_medical_clinic

#خلاصه_کتاب 📚 «فرزندپروری مبتنی بر مغز: علوم اعصابِ مراقبت برای دلبستگی سالم» ✍️دکترمحمدزنوزی راد کتابی نوشته‌ی دنیل هیوز و جاناتان بیلین، اثری بنیادین در حوزه‌ی «زیست‌شناسی عصبی میان‌فردی» است. این کتاب شکاف میان علوم پیچیده‌ی اعصاب و واقعیت‌های روزمره‌ی #تربیت_فرزند را پر می‌کند. نویسندگان در این کتاب از روش‌های سنتی مدیریت رفتار فراتر رفته و در عوض بر «مغز والدینی» تمرکز می‌کنند؛ یعنی اینکه چگونه وضعیت سیستم عصب…

❤3

Signed [email protected]

6 Feb 2026, 05:37 UTC53 views4 reactionsread 7 August 2026
Forwarded from @AI_in_ResearchVideo

🤔اپ مخصوص اپلای: رزومه رو آپلود کن و توی چند دقیقه همه موقعیت های اپلای رو استخراج کن توضیحات: اپ تخصصی اپلای، اتوماتیک برگرفته از پیشرفته ترین ابزارهای تخصصی مبتنی بر هوش مصنوعی پس از مدتها توسعه بالاخره آماده شد. این ابزار قابلیت جستجوی دقیق و فوری ، مشخص کردن پوزیشن های مختلف اپلای و درصد احتمال پذیرش با توجه به رزومه را داراست ✍️ جهت تهیه اشتراک نامحدود و کسب اطلاعات بیشتر به پشتیبانی پیام دهید. 🔹 ما را دنبال …

❤3🙏1

Signed [email protected]

6 Feb 2026, 05:32 UTC47 views2 reactionsread 7 August 2026
Forwarded from @AI_in_ResearchPhoto

⭐ 6 ابزار برتر هوش مصنوعی برای ویرایش مقاله نوشتن مقاله یه طرف، ویرایش و استاندارد کردنش یه طرف دیگه! 🤯 اگه می‌خوای مقاله‌ت مثل نیتیو‌ها خونده بشه و داورها راحت‌تر اکسپت کنن، این ۶ تا ابزار رو حتماً تست کن. 🔢 Gemini: سردسته‌ی همه! جمینای (مخصوصاً نسخه ۱.۵ پرو) بهترین ویراستار شماست چون "منطق" مقاله رو می‌فهمه. 🔢 Paperpal: رقیب سرسخت گرامرلی ولی مخصوصِ آکادمیک. این ابزار با میلیون‌ها مقاله علمی آموزش دیده و پیشنها…

❤2

Signed [email protected]

5 Feb 2026, 04:27 UTC46 views2 reactionsread 7 August 2026
Forwarded from @yogahozoorPhoto

«زیبایی این توانایی را دارد که زندگی دوباره ببخشد. کافی است ببینید و بشنوید. به دلیل بی‌توجهی‌مان است که تا وقتی زنده هستیم وارد بهشت نمی‌شویم؛ فقط به دلیل بی‌توجهی‌مان است.» بهت، کریستین بوبن، @yogahozoor

❤2

Signed [email protected]

Showing the 12 most recent of 20 posts we hold for @loveneurobiology. 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.

Forward network

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

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 12 September 2026 — this entry's latest reading, not the date you are reading this.

“LOVE: Neurobiology” (@loveneurobiology), 192 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/loveneurobiology.

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.