Furl Lab

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Furl Lab

Furl Lab

@FurlLab

Brain imaging and behavioural research on face perception and social decision making

London, UK Katılım Nisan 2016
2.3K Takip Edilen776 Takipçiler
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Furl Lab
Furl Lab@FurlLab·
💡 When making choices—like picking a flat, a job, or a romantic partner—when should we stop looking and commit? Our new study from @RHULPsychology published in @commspsychol explores how biased expectations about future options shape our decisions. 🧵👇
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Furl Lab
Furl Lab@FurlLab·
Please help out my Msc student! She's doing a study on decision making in forensic contexts and needs participants. Takes about 15 minutes. Decide if the defendents are guilty or innocent: research.sc/participant/lo…
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Associate Deans
Associate Deans@ass_deans·
If you criticize the new college policy, you are clearly part of the problem we are trying to solve.
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Ahmed El Hady
Ahmed El Hady@zamakany·
Larval Zebrafish can perform evidence integration in a visual random dot motion task. This behavioral task can be done in a high throughput manner . In this preprint : biorxiv.org/content/10.648… We developed an automatic high throughput fitting method for latent variables inference that allow us to study a variety of conditions such as different zebrafish larvae developmental stages and larval zebrafish mutants.
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Praveen Swami
Praveen Swami@praveenswami·
True, the Athenian did say “the strong do what they can and the weak suffer what they must.” Then, Thucydides teaches us, Athens sailed towards ruin, driven by hubris and demagoguery. The line gives insight into the blindness of the vain, not the natural order of things.
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Philip Lymbery
Philip Lymbery@philip_ciwf·
For 14 years, 15 penguins have been "in a windowless basement enclosure" at the Sea Life LondonAquarium, with no daylight or outdoor access @SkyNews What a price these sentient creatures pay for a few minutes of human entertainment 💔 #Wicked #WildForLife msn.com/en-gb/news/ukn…
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Communications Psychology
Communications Psychology@CommsPsychol·
A large-scale resampling exercise in the Confidence Database was done to study the reliability of (between and within individuals) confidence estimates. Results show that these measures reach a reliability plateau after roughly 50 trials. @mael_lebreton nature.com/articles/s4427…
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CLaE
CLaE@leafs_s·
PNAS The functional role of oscillatory dynamics in neocortical circuits: A computational perspective pnas.org/doi/10.1073/pn…
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Ashley Tyrer
Ashley Tyrer@AshleyTyrer·
1/ To explore or to exploit? I’m excited to share my new preprint with @TobiasUHauser and @micahgallen, correlating variations in cortical microstructures with individual differences in exploration-exploitation behaviours, using a gamified task! biorxiv.org/content/10.110…
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SWC
SWC@SWC_Neuro·
We're delighted to host the travelling exhibition: ‘The art and legacy of Santiago Ramón y Cajal’ at SWC next month. 📅 7–30 November 🕒 Fri: 2–5 PM | Sat–Sun: 10 AM–3 PM 🎟️ Register for the launch event on 7 November, 16:30 sruk.org.uk/ceru-events/lo…
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Communications Psychology
Communications Psychology@CommsPsychol·
Adolescents’ choices are influenced by others. A social risky choice experiment and Bayesian modelling reveal that age differences in internal uncertainty, being unsure how to choose, relate to differences in the susceptibility to social influence. nature.com/articles/s4427…
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CLaE
CLaE@leafs_s·
Trends in Cognitive Sciences Curiosity and the dynamics of optimal exploration cell.com/trends/cogniti…
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Matthias Niessner
Matthias Niessner@MattNiessner·
📢📢 𝐀𝐯𝐚𝐭𝟑𝐫 📢📢 Avat3r creates high-quality 3D head avatars from just a few input images in a single forward pass with a new dynamic 3DGS reconstruction model. Video: youtu.be/P3zNVx15gYs Project: tobias-kirschstein.github.io/avat3r Our core idea is to make Gaussian Reconstruction Models animatable. We find that a simple cross-attention to an expression code sequence is already sufficient to model complex facial expressions. We then incorporate position maps from DUSt3R and feature maps from Sapiens to facilitate the prediction task. While DUSt3R's position maps act as a pixel-aligned initialization for the Gaussians' positions, the Sapiens feature maps help the cross-view transformer to match corresponding image tokens in the 4 input images. One major challenge in creating a 3D head avatar from smartphone images comes from inconsistent facial expressions when the subject could not remain perfectly static during the capture. We eliminate this static requirement by simply showing our model input images with different facial expressions during training. This technique makes our model robust to inconsistent input images later on. Finally, we show that despite the model has been trained with 4 input images, one can even create a 3D head avatar when only a single image is available. To achieve this, we employ a pre-trained 3D GAN to lift the single image to 3D and then render the 4 input images for our model. This allows us to create 3D head avatars from single images and even highly out-of-distribution examples like AI generated faces, paintings or statues. Great work by @TobiasKirschst1 from his internship at Meta with Javier Romero, @ASevastopolsky, and @psyth91
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Lionel Page
Lionel Page@page_eco·
Established universities face little competitive pressure, as they benefit from a steady flow of students, thanks to a reputation that changes only slowly. This is why the corporatisation of universities often leads not to efficiency but to managerial capture.
Lionel Page@page_eco

If your manager looks like a character from the series The Office, it is likely that you work in an industry with low competitive pressure. "higher levels of competition [...] are strongly associated with better management practices"

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