Clare Press
@clarepress.bsky.social
2.6K followers 480 following 62 posts
PI of Action & Perception Lab at UCL. Professor. Cognitive neuroscience, action, perception, learning, prediction. Cellist, lazy runner, mum. https://www.ucl.ac.uk/pals/action-and-perception-lab/ https://www.fil.ion.ucl.ac.uk/team/action-and-perception/
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clarepress.bsky.social
Out now @cp-trendscognsci.bsky.social, w/ @akalt.bsky.social & @drmattdavis.bsky.social.

Are sensory sampling rhythms fixed by intrinsically-determined processes, or do they couple to external structure? Here we highlight the incompatibility between these accounts and propose a resolution [1/6]
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randolph-helfrich.bsky.social
New position, new social media account. After 5 fantastic years in Tuebingen, I moved to @yale.edu and the @wutsaiyale.bsky.social this summer - which means that I’ll be recruiting PhD students and postdocs. Please help me to spread the word and see current opportunities below 👇
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drrickadams.bsky.social
Post doc job alert 📢! Announcing a v exciting job on a Wellcome-funded project in my group at UCL, looking at auditory hallucinations... Advert here 👀: rb.gy/230w8l - deadline is end of Oct. Please apply! 1/5
UCL – University College London
UCL is consistently ranked as one of the top ten universities in the world (QS World University Rankings 2010-2022) and is No.2 in the UK for research power (Research Excellence Framework 2021).
rb.gy
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silviaseghezzi.bsky.social
Next up in our Psychological Sciences Seminar Series:
🎤 Prof. Clare Press
🗓 Wed 8 Oct, 12:30–1:30 pm (note the earlier time)
📍 Room 612, Malet Street, + online via Teams
@clarepress.bsky.social @birkbeckpsychology.bsky.social
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svangaal.bsky.social
Out for a while but forgot to post it. Using pupil size as a proxy for arousal, we show that the inverted-U shaped arousal–performance curve (Yerkes-Dodson law) is not fixed, but can shift globally depending on neuromodulatory state (atomoxetine): arousal recalibration www.pnas.org/doi/10.1073/...
PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
www.pnas.org
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actlab.bsky.social
Thrilled that our new review "Motor Working Memory" is now in press at TiCS!

@cp-trendscognsci.bsky.social
@cellpress.bsky.social

By me +
Hanna Hillman

We argue that a dedicated research program on 'working memory for movements' is long overdue

Link: authors.elsevier.com/a/1lmMX4sIRv...
clarepress.bsky.social
Please come to see our lab presentations at #ICON2025, by the brilliant Kirsten Rittershofer and Quirin Gehmacher. Sorry I can't be there myself, it looks a brilliant meeting 🎉
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clarepress.bsky.social
Looking forward to #CCN2025! Please come to say hello and check out our lab's presentations 👇

@compcogneuro.bsky.social
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imagingneuroucl.bsky.social
🚨 We’re hiring: Associate Professor/Professor of Cognitive Neuroscience

🧠 Lead pioneering imaging-informed cognitive neuroscience research
🌍 Open to international applicants | Visa sponsorship available
📍 Permanent, full-time, on-site
🔗 Apply now: www.ucl.ac.uk/work-at-ucl/...
clarepress.bsky.social
Looking forward to #CCN2025! Please come to say hello and check out our lab's presentations 👇

@compcogneuro.bsky.social
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jolienfrancken.bsky.social
My favourite talk @assc28.bsky.social was just delivered by @matanmazor.bsky.social showing that dualists are warmer 💕 @ronyhirsch.bsky.social #assc28
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irisvanrooij.bsky.social
“The goal of academic training is not to solve problems as efficiently and quickly as possible, but to develop skills for identifying and dealing with novel problems, which have never been solved before.”
irisvanrooij.bsky.social
If you agree with our 5 requests to our universities, please sign 🖊️ the open letter and don’t forget to confirm your email! ☺️🙏

openletter.earth/open-letter-...
• Resist the introduction of AI in our own software systems, from Microsoft to OpenAI to Apple. It is not in our interests to let our processes be corrupted and give away our data to be used to train models that are not only useless to us, but also harmful.

• Ban AI use in the classroom for student assignments, in the same way we ban essay mills and other forms of plagiarism. Students must be protected from de-skilling and allowed space and time to perform their assignments themselves.

• Cease normalising the AI hype and the lies which are prevalent in the technology industry's framing of these technologies. The technologies do not have the advertised capacities and their adoption puts students and academics at risk of violating ethical, legal, scholarly, and scientific standards of reliability, sustainability, and safety.

• Fortify our academic freedom as university staff to enforce these principles and standards in our classrooms and our research as well as on the computer systems we are obliged to use as part of our work. We as academics have the right to our own spaces.

• Sustain critical thinking on AI and promote critical engagement with technology on a firm academic footing. Scholarly discussion must be free from the conflicts of interest caused by industry funding, and reasoned resistance must always be an option.
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epanlab.bsky.social
Research is NOT the same as innovation. Spend the money at least equally on bottom-up research by @erc.europa.eu. ERC grantees @ercgrantees.Baku.social are the most successful in the EIC, but there is no innovation without fundamental Bluesky research by the ERC
sciencebusiness.net/news/europea...
EU should double, if not triple, the EIC budget, Zaharieva says
The European Commission hopes to at least double the budget of the European Innovation Council (EIC), if not triple it, when the agency can only finance 4% of the projects it receives, research commis...
sciencebusiness.net
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danieljamesyon.bsky.social
Less than a week left to apply for this PhD studentship in my lab at @birkbeckpsychology.bsky.social !

Deadline Sun 6th July
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miquai.bsky.social
Me: "What did you learn at journal club today?"

Intern: "That one day I'm going to publish a paper, and a bunch of people are going to sit around a table and rip it apart."
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clarepress.bsky.social
Out now @cp-trendscognsci.bsky.social, w/ @akalt.bsky.social & @drmattdavis.bsky.social.

Are sensory sampling rhythms fixed by intrinsically-determined processes, or do they couple to external structure? Here we highlight the incompatibility between these accounts and propose a resolution [1/6]
clarepress.bsky.social
And the tags!
@uclpals.bsky.social @imagingneuroucl.bsky.social @mrccbu.bsky.social
#neuroskyence
#neuroscience
#consci

And many congratulations to the brilliant @akalt.bsky.social on his first paper from PhD 🎉
clarepress.bsky.social
We propose this as a testable starting point for a mechanism that can account for seemingly flexible and fixed rhythms, and determine optimal sampling, across sensory domains. We also address controversies with existing accounts.

Hope it proves useful!
tinyurl.com/fixedflexibl... [6/6]
Fixed and flexible perceptual rhythms
Our sensory inputs are never identical across time and contain temporal structure. Cognitive scientists have recently been fascinated by how these sen…
tinyurl.com
clarepress.bsky.social
Sampling rhythms reflect statistical learning of temporal properties of inputs, governed by both externally- and intrinsically-determined sensory dynamics. We process the sensory world according to the probability with which a weighted combination of sources predicts information at that time. [5/6]
clarepress.bsky.social
We must crucially now ask how we optimally combine these rhythmic sources to determine perceptual and motor processing. To this end we propose a new account. [4/6]
clarepress.bsky.social
In contrast, accounts predominating in audition propose neural rhythms that are flexible and couple to those of the input. We contend that these different accounts grew from contrasting paradigms in which the visual world is more easily, yet artificially, stabilised in lab settings. [3/6]
clarepress.bsky.social
Some accounts of oscillatory processing, predominating in vision, propose perception is supported by fixed neural rhythms that do not reflect rhythmic structure of the input. They instead reflect motor (e.g. saccadic) and neural architectural constraints (e.g. receptive field interactions) [2/6]