iiinova — where your digital self keeps evolving

Reposted by Tom Hartley

Ben Fulcher @bendfulcher.bsky.social · 29/09/2026

Today I'm releasing the "1000×1000 collection": a unified place to learn about dynamical structure. 1000 simulated time series (1000 samples each) spanning 133 dynamical processes. Have a play? 🐛 #timeseries #dynamicalsystems #complexity #opendata dynamicsandneuralsystems.github.io/1000x1000/

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Tom Hartley @tomhartley.me.uk · 16/09/2026

Adding MacOS support to my reverb plugin. Exciting, expensive and daunting. On the plus side I got a beautiful new MacBook by far the best computer, I've ever had, the smallest and the most powerful, I think. There is a downside, too.

Prototype version of THeVerb (multi-instance spatial convolutional reverb plugin) running in Logic Pro on a Mac.

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Reposted by Tom Hartley

Olivia Guest · Ολίβια Γκεστ @olivia.science · 11/09/2026

I'm excited to share this preprint by my wonderful MSc student Yihsin who's thought deeply about how psychological & neurocognitive theories relate to different types of evidence. Beyond Empirical Success: Evaluating Theoretical Virtue Across the Computational Modeling Chain doi.org/10.5281/zeno...

Beyond Empirical Success: Evaluating Theoretical Virtue Across the Computational Modeling Chain
Authors/Creators

Chuang, Yihsin
ORCID icon
Guest, Olivia1
ORCID icon

Description

Computational models in psychology are typically judged by a single standard: empirical fit. Unfortunately, fit is insufficient, even misleading as a sole criterion, as the same result can arise from fundamentally different situations: theoretically faithful models, mathematically flexible ones, miscalibrated operationalizations, or implementations that compute something other than intended. Distinguishing between these is vital. Our evaluative metatheoretical account recognises that models stand in three distinct relations: a) toward the theory whose causal commitments it purports to capture, b) toward the specification and implementation it purports to compute, and c) toward the phenomenon it purports to explain. Each relation can succeed or fail independently, governed by criteria local to that stage. Importantly, relations are ordered such that theoretical content is transmitted or lost, and losses at earlier transitions are irrecoverable downstream. What a model's empirical success implicates about its theoretical commitments, therefore, depends on whether transitions are secured. Some success or failure profiles support explanatory claims; others only prediction; others establish theoretical coherence without empirical contact. Our account diagnoses what a given model shows, replacing the implicit assumption that empirical success transfers automatically to theoretical understanding with an explicit conditional rendition of what models can and cannot establish.

a figure that looks like a cloud that stays "cognitive capacity" with an arrow pointing to a lozenge with "theory" which points to a lozenge with "specification" which points to the same with "data" which is pointed to by a cloud that says "phenomenon"

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Saurabh @saurabhr.bsky.social · 04/08/2026

There are 17 different methods to measure whether confidence tracks accuracy, and these do not include Bayesian or Information Theory based measurements. We present MetaSignal with @makwana.bsky.social @lazyneuron.bsky.social and @brianodegaard.bsky.social to have common platform to access them.

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Tom Stafford @tomstafford.mastodon.online.ap.brid.gy · 13/09/2026

👀 JOB: Chair in Psychology @ University of Liverpool www.jobs.ac.uk/job/DSU859/chair-in-… Deadline: 30th Sept, full time, permanent "We are particularly seeking an individual with research expertise in neuroscience"

jobs.ac.uk

Chair in Psychology - Grade 10 at University of Liverpool

Discover Chair in Psychology - Grade 10 jobs and more in higher education on jobs.ac.uk. Apply for further details on the top job board.

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Reposted by Tom Hartley

mahwishkittur.bsky.social @mahwishkittur.bsky.social · 10/09/2026

After years of analyzing thousands of drawings from hundreds of adults and children, I am excited to share my first ever paper (w/ @samiyousif.bsky.social )! Using a simple drawing task, we show how topological structure is represented in the mind and its importance in spatial memory.

elifesciences.org

Topological structure in human spatial representation revealed through drawing

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Saloni @scientificdiscovery.dev · 05/09/2026

This is interesting. You get assigned to being born at a random place and time in history, to see what a typical person's life might have been like then. Unfortunately I was born in 1403 in the valley of Mexico and died at age 4 from dysentery.

anyhumanever.com

Any Human Ever

One life, drawn at random from all who have ever lived.

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Michel Nivard @michelnivard.bsky.social · 02/09/2026

🚨& 🧵 Our new Nature paper is out! Across 46 cohorts and up to 1.14M people per Big Five trait, we do GWAS and ask how robust, generalizable and consequential the genetic signals underlying personality really are. www.nature.com/articles/s41...

nature.com

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Caswell Barry @caswell.bsky.social · 01/09/2026

Very excited to see this out — real teamwork, led by @laurenb29.bsky.social & Will de Cothi with @lgiocomo.bsky.social, @colinlever.bsky.social, Laurenz Muessig, Fábio Rodrigues, Francesca Cacucci, Tom Wills, Yanjun Sun & Steven Poulter. In Nature Comms: www.nature.com/articles/s41467-026-76686-y

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Tom Hartley @tomhartley.me.uk · 31/08/2026

Released my first audio plugin today. You can find out more, download a free trial at hartleydsp.com. Listen to the demo video with headphones for the full spatial effect. youtu.be/E5h1YP1ETZg?...

youtu.be

THeVerb 1.0 | Spatial Convolutional Reverb | VST3 Plugin | Windows

YouTube video by Tom Hartley

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Tom Hartley @tomhartley.me.uk · 31/08/2026

Released my first audio plugin today. You can find out more, download a free trial at hartleydsp.com. Listen to the demo video with headphones for the full spatial effect. youtu.be/E5h1YP1ETZg?...

youtu.be

THeVerb 1.0 | Spatial Convolutional Reverb | VST3 Plugin | Windows

YouTube video by Tom Hartley

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Reposted by Tom Hartley

Tom Hartley @tomhartley.me.uk · 24/08/2026

This is a great song by a great artist @katherinepriddy.bsky.social who I saw at The Magpies Festival last week. She sang this song unaccompanied like this at the Songwriter's Circle. Well done @rachelphysics.bsky.social for finding the video. youtu.be/ltOVVU0hUnQ?...

youtu.be

Katherine Priddy - Matches | McClaren Guitars Workshop Sessions

YouTube video by Sam McClaren Guitars

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Tom Hartley @tomhartley.me.uk · 24/08/2026

youtu.be

Katherine Priddy - Matches | McClaren Guitars Workshop Sessions

YouTube video by Sam McClaren Guitars

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Tom Hartley @tomhartley.me.uk · 20/08/2026

Marty Supreme, which I just watched having heard very little about it, was *way* better than I expected. Ridiculously good.

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Reposted by Tom Hartley

Ida Momennejad @neuroai.bsky.social · 19/08/2026

📣Algorithmic Grammar of Flexible Cognition: A Walk through Latent Operations osf.io/preprints/ps... Flexible behavior moves adaptively btwn cognitive modes. But units of analysis remain representations & few operations. Proposal: formalize open-ended cognition as walk over latent operations 1/n

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Andrew MacKellar @hansoliton.bsky.social · 18/08/2026

I have ADHD. I'm also a physicist. I got the ADHD diagnosis about a year and a half ago, after really struggling with work for a few years. I didn't know about it when I was in school, or when I started a physics undergrad as a mature student, or through my PhD. I have thoughts:

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Tom Hartley @tomhartley.me.uk · 18/08/2026

Another way to do this, is to do multiple low N pilot experiments with no intention to publish. Each yields very low confidence and great care is needed to ensure justified confidence accumulates rather than being diluted...

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Tom Hartley @tomhartley.me.uk · 18/08/2026

This is right IMO. The reason why we see increased diagnosis is because society (capitalism) is increasingly reliant on conformity, narrowing the range of what counts as "normal" - if you are sufficiently different, you are disabled. @drrobertchapman.bsky.social has written a book about it.

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Marie Le Conte @youngvulgarian.marieleconte.com · 18/08/2026

really does feel, as an ideology, like to them there is A Norm, and you can either obey The Norm and be exactly like everyone else, or you can be A Freak and not be meaningfully welcome in society, and everyone should be trying their hardest to fit The Norm a sad view of the world!

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Julia Schaefer @julia-sc.bsky.social · 17/08/2026

Episodic memory forms through action: gaze shifts sequentially sample experience as it unfolds 👀🏞️ 🧠 But actions may also help organize how the brain reactivates episodic memories! 👀🧠💭 🏞️ Check out our new preprint 👇 doi.org/10.64898/202... 🎉 @tobiasstaudigl.bsky.social & Aditya Chowdhury 👇🧵

doi.org

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Matt Kirkcaldie @matttkk.bsky.social · 03/08/2026

This piece interviewing @masudhusain.bsky.social is a wonderful antidote and frustration cleanser m.youtube.com/watch?v=HZRG...

m.youtube.com

Myths v Science: What Does Dopamine Actually Do? | What’s Up Docs

YouTube video by BBC Sounds

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Tom Hartley @tomhartley.me.uk · 30/07/2026

From the description this is the sort of data I would have loved to get my teeth into. Tempting even now I am retired.

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Tom Hartley @tomhartley.me.uk · 15/07/2026

I admit I am starting to get nervous/excited about this. It's the hope that kills you.

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Tom Hartley @tomhartley.me.uk · 14/07/2026

A little football (soccer) thread. When I was a kid I was quite into football, not fanatical but I went to a few games, watched on TV, followed Football Focus, Final Score and so on.

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Reposted by Tom Hartley

Mahveen S Mubarak @mahveenmubarak.bsky.social · 10/07/2026

What if simply predicting an event could trick your brain into remembering it as real, even when it never happened? 🧠 Very excited to share my very first preprint with @keisukefukuda.bsky.social, born from a question that seemed almost too counterintuitive to be true🧵 1/7 doi.org/10.31234/osf...

doi.org

OSF

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Neil Burgess @neilburgess10.bsky.social · 01/07/2026

Ever wondered how the hippocampal cognitive map is read-out? @changmin-yu.bsky.social @zilong-ji.bsky.social with Jake & John, show that, during navigation, theta sweeps indicate remembered goal-directions (cf. current/next movements or perceptual targets) 1/2 www.nature.com/articles/s41...

Decoded locations from place cell firing sweep towards a remembered goal location during each theta cycle irrespective of the current movement or head direction

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Tom Hartley @tomhartley.me.uk · 28/06/2026

"Nobody ever likes to fire somebody they have lunch with"

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Reposted by Tom Hartley

Caswell Barry @caswell.bsky.social · 16/06/2026

Job klaxon 📣 UCL is hiring two NeuroAI / computational neuroscience specialists (Lecturer or Associate Prof) — a big part of the new NeuroAI centre we're growing in Biosciences. Do consider applying if it's relevant to you. JD & details: www.jobs.ac.uk/job/DRX021 Happy to take questions.

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franz @franzanth.bsky.social · 10/06/2026

Finally, footage from that new whale graveyard. The fact that fossils and fresh carcasses mix together in this spot is bonkers. But of course it makes sense, because the scavengers that live down there also need a steady supply over millions of years. They can't just suddenly adapt to the deep.

youtube.com

Whale graveyard discovered 7km under the sea

YouTube video by nature video

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Roddy Grieves @roddy-grieves.bsky.social · 05/06/2026

Ever wonder how your brain navigates the real world? 🧠 Most spatial navigation studies use flat, 2D mazes. But the real world is hilly, irregular, and bumpy! ⛰️ Our new paper in #ScienceAdvances asked a simple question: How does the brain map uneven terrain? 📄 doi.org/10.1126/scia... 🧵👇️️️ 1/

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Tom Hartley @tomhartley.me.uk · 04/06/2026

Place cells respond to terrain geometry. Explicable as a generalisation of the BVC model. www.science.org/doi/10.1126/... This is the kind of discovery which, I admit, makes me slightly miss my old job.

science.org

Hippocampal place cells map terrain geometry independently of behavior

Place cells map terrain geometry, not behavior, revealing a surface-based brain code for real-world navigation.

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Andrew Reid @reid-lab.org · 04/06/2026

Fun thread.

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Michelle Greene @mgreenephd.bsky.social · 02/06/2026

🚨New dataset just dropped🚨 Introducing Places in the Wild: 67,000 RAW-format photographs (45 mpix) densely sampled from 810 places (260 basic-level categories). This is 11x the number of pixels in ImageNet! Preprint is here: arxiv.org/abs/2606.02481 1/

arxiv.org

Places in the Wild: A Large, High-Resolution RAW Photograph Dataset for Ecologically Valid Vision Research

Large image datasets have accelerated progress in cognitive neuroscience and computer vision. However, most datasets are low-resolution, internet-sourced JPEGs with unknown capture conditions and limi...

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Tom Hartley @tomhartley.me.uk · 29/05/2026

New release from The Pennydrops: "Boundary". I produced it. open.spotify.com/track/3aJyn4...

open.spotify.com

Boundary

The Pennydrops, Izzy Hartley, J.J. Chamberlain · Boundary · Song · 2026

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Tom Hartley @tomhartley.me.uk · 29/05/2026

New release from The Pennydrops: "Boundary". I produced it. open.spotify.com/track/3aJyn4...

open.spotify.com

Boundary

The Pennydrops, Izzy Hartley, J.J. Chamberlain · Boundary · Song · 2026

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Reposted by Tom Hartley

Philip Sulewski @psulewski.bsky.social · 26/05/2026

Now out in Nature Neuroscience: "Fixation duration on natural scenes is explained by memory encoding not processing demand". www.nature.com/articles/s41... Our eyes don't linger because recognition is hard; they linger to remember. Let me take you on a quick tour. 🧵

nature.com

Fixation duration on natural scenes is explained by memory encoding not processing demand - Nature Neuroscience

By combining magnetoencephalography and eye tracking, this study sheds light on why people fixate on some parts of natural scenes longer than others. Rather than visual complexity, fixation durations ...

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Berna Devezer @devezer.bsky.social · 07/05/2026

There are a few more metascientific implications I'd like to highlight. 1. When reporting replicability rates, there are multiple levels of uncertainty that needs to be modeled in a hierarchical way, and metascientific practice flattens all to the lowest level, masking much of it in the process.

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Berna Devezer @devezer.bsky.social · 30/04/2026

📣 The difference between replicable and not replicable is not itself scientifically replicable. 📣 New work with Erkan Buzbas, showing that verdicts such as "X% of results replicated" are based on an inferential machinery that doesn't work. arxiv.org/abs/2604.26268

Screenshot of a paper's title page. Title: "The Difference Between 'Replicable' and 'Not replicable' is not Itself Scientifically Replicable". Authors: Berna Devezer and Erkan O. Buzbas, both at the University of Idaho — Devezer in the Department of Business and the Institute for Modeling Collaboration and Innovation, Buzbas in the Department of Mathematics and Statistical Science. Authors contributed equally. Corresponding author: bdevezer@uidaho.edu.
Abstract: Replication studies estimate the replicability rate of scientific results by aggregating binary verdicts of experiments. Exact replications are rarely attainable, so most replication sequences are non-exact. Experiments differ in ways that matter and do not share a single common data-generating process. We formalize two statistical interpretations of this non-exactness. In a shared latent rate model (benchmark), experiments are exchangeable and depend on a common random replicability rate. In a conditionally independent rates model (operational), each experiment has its own replicability rate drawn independently from a population distribution. Under the shared latent rate model, even small variability among replicability rates induces an irreducible variance floor on the estimated mean replicability rate that cannot be eliminated by adding more replications. Under the conditionally independent rates model, the degree of non-exactness is not identifiable from standard replication data, because one binary verdict per experiment contains no information about between-experiment heterogeneity. Researchers therefore cannot tell which precision regime they are operating in or whether high- and low-replicability sequences can be distinguished in principle. As a result, the usual data structure of one binary verdict per experiment cannot support reliable demarcation between "replicable" and "not replicable" results and systematically understates uncertainty, making high- and low-replicability sequences appear discrim…

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