Channel
@cognitiveneur0science
On this record: Topic · Growth · Engagement · Posts · Cite this entry
130subscribers
-3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001470004415 |
|---|---|
| Type | Channel |
| Username | @cognitiveneur0science |
| Created | Between 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 7 October 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 7 October 2026 |
| On Telegram | t.me/cognitiveneur0science |
Technology — 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 26 September 2026 and assigned it the closest of 31 fixed categories, at 80% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Oct 2026, 15:37 | 130 | -2 |
| 22 Aug 2026, 05:57 | 132 | -1 |
| 9 Aug 2026, 00:16 | 133 | no change |
| 7 Aug 2026, 00:41 | 133 | first reading |
20 posts held, back to 17 April 2023 — 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 12 June 2023. An engagement rate over an empty window would be a number about nothing.
من نبودم دستم بود تقصیر آستینم بود! چند روز پیش #اپل عینک #واقعیت_افزوده /مجازی خود را رونمایی کرد، #فناوری_شناختی که پیش از آن زاکربرگ بنیانگذار شرکت #متا، رهبری و پیشگامی این انقلاب #واقعیت_مجازی را شروع کرده بود و حالا حتی خود #زاکربرگ چند روز پس از رونمایی از عینک اپل، جبهه ای رقیبانه گرفته است : "هیچ نوع راه‌حل جادویی برای هیچ یک از محدودیت‌های قوانین و فیزیک اتفاق نیافتاده که تیم‌های ما تاکنون به آن فکر نکرده…
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خبر کسب مجوز FDA پروژه ی نورالینک ایلان_ماسک برای کاشت ایمپلنت مغزی در انسان ، افقی جدید را برای آینده ی درمان ها و مداخلات چه بر انسان های بیمار و چه بر انسان های سالم ، باز می کند ،این پروژه قبلا روی حیواناتی نظیر خوک و میمون انجام شده است و اینک نوبت به انسان رسیده است. تائیده سازمان غذاو داروی امریکا که بالاترین استاندارد مورد قبول جهانی است، نشانگر آنست که حالا حتما باید منتظر آینده ی متفاوت برای مغزها و درک و ا…
cognitive._.neuroscience's profile picture خروج جفری هینتون از شرکت #گوگل که به پدرخوانده ی #هوش_مصنوعی معروف است ، پیام روشنی از زبان خودش دارد : وی تنها یکی از خدماتش بنیانگذاری روش یادگیری عمیق در هوش مصنوعی است و از بزرگان #علوم_شناختی است، این پیام را در مصاحبه اش می دهد که بازیگران بد می توانند سوء استفاده های ابزاری شرورانه ای از هوش مصنوعی کنند و باتوجه به سرعت پیشرونده ی هوش و یادگیری در هوش مصنوعی ، این موج…
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https://www.instagram.com/p/CrHw-oLN3Xd/?utm_source=ig_web_copy_link
-_ list of the top 10 best cognitive neuroscientists _The answer of chatgpt : As an AI language model, I cannot provide a definitive list of the top 10 best cognitive neuroscientists as this is subjective and can vary depending on different criteria. However, here are some notable cognitive neuroscientists who have made significant contributions to the field: 1. Michael Gazzaniga 2. Antonio Damasio 3. Daniel Dennet…
Magnetoencephalography (MEG) is a powerful tool with highly versatile applications in the field of cognitive neuroscience. Its main strength lies in non-invasively recording a signal that is closely related to neuronal population activity. When combined with source localization techniques, it yields a rich representation of brain activity with millisecond temporal resolution throughout the brain. Whereas MEG cannot c…
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python for (Cognitive) Neuroscience : ▶️ Nengo - Library for creating and simulating large-scale brain models. ▶️ Nitime - Timeseries analysis for neuroscience data. ▶️ Nilearn - Module for performing statistical learning/machine learning on NeuroImaging data. ▶️DIPY - Toolbox for analysis of MR diffusion imaging. ▶️MNE-Python - Community-driven software for processing time-resolved neural signals including electroen…
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Showing the 12 most recent of 20 posts we hold for @cognitiveneur0science. 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.
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 7 October 2026 — this entry's latest reading, not the date you are reading this.
“Cognitive Neuroscience” (@cognitiveneur0science), 130 subscribers as measured 7 October 2026. Telegram Register, tgregister.com/channel/cognitiveneur0science.
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.