Channel
@theTuringMachine
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
273subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001246133738 |
|---|---|
| Type | Channel |
| Username | @theTuringMachine |
| Description | Join me through the journey of learning Computational Neuroscience topics. Useful resources, positions and much more! Get in touch: @nosratullah Website: nosratullah.github.io |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/theTuringMachine |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 08:47 | 273 | no change |
| 7 Aug 2026, 16:11 | 273 | first reading |
20 posts held, back to 27 November 2024 — 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 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 20 posts for this entry, the most recent from 30 June 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
64 reactions across 14 posts, in 7 distinct kinds. The most used accounts for 35.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 23 | 35.9% | |
| ❤ | 18 | 28.1% | |
| 👏 | 12 | 18.8% | |
| 🔥 | 7 | 10.9% | |
| 🙏 | 2 | 3.13% | |
| 💔 | 1 | 1.56% | |
| 🤔 | 1 | 1.56% |
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 15 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 64reactions 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 27 November 2024 to 30 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.
https://experimentology.io As scientists and practitioners, we often want to create generalizable, causal theories of human behavior. As it turns out, experiments—in which we use random assignment to measure a causal effect—are an unreasonably effective tool to help with this task. But how should we go about doing good experiments? This book provides an introduction to the workflow of the experimental researcher wor…
The Neurosift application enables anyone to browse these datasets in-browser and code-free, without downloading or installing anything. https://chat.neurosift.app/chat
Job Details Postdoctoral Researcher Department of Experimental Psychology, Life and Mind Building, South Parks Road This is an exciting opportunity to help shape the direction of a new research group, and supervise PhDs and Masters’ students. We are looking for an independent postdoc who wants to explore both the PI’s research directions as well as their own. Reporting to the Principal Investigator, James Whittingt…
https://paulwintz.com/latex-in-vscode/
https://mikexcohen.substack.com/p/why-i-left-academia-and-neuroscience
👍1🤔1
Low-dimensional shared variability can be generated in spatial network models • Synaptic spatial and temporal scales determine the dimensions of shared variability • Depolarizing inhibitory neurons suppresses the population-wide fluctuations • Modeling the attentional modulation of variability within and between brain areas [ link ]
https://www.thetransmitter.org/open-neuroscience-and-data-sharing/neurosciences-open-data-revolution-is-just-getting-started/
👍1
https://m.youtube.com/watch?v=KeLNaX5YJcw
Our new research article from PNAS investigates how localized brain manipulations, such as lesions or silencing, impact the entire brain's functional connectivity in mice. Combining fMRI data with computational modeling, the study reveals that these targeted interventions lead to widespread network reconfigurations, sometimes decreasing and other times increasing connectivity. We used personalized brain simulations t…
👍2
The Elements of Style Author: William Strunk, Jr. Asserting that one must first know the rules to break them, this classic reference book is a must-have for any student and conscientious writer. Intended for use in which the practice of composition is combined with the study of literature, it gives in brief space the principal requirements of plain English style and concentrates attention on the rules of usage and …
🙏2❤1
Mathematical Methods in Computational Neuroscience - Application deadline 📆 Mar 31, 2025 https://www.compneuronrsn.org/
👍2
✨ Continuing sharing newsletters for inspiration and general perspective broadening Neural manifolds: Latest buzzword or pathway to understand the brain? Check out this insightful piece from The Transmitter on neural manifolds and population coding. The article presents a case for viewing neural information processing through the lens of coordinated population activity rather than individual neuron responses. The …
👍3❤1
Showing the 12 most recent of 20 posts we hold for @theTuringMachine. 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.
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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“the Turing Machine” (@theTuringMachine), 273 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/theTuringMachine.
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.