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David Richter

@davidrichter.bsky.social

240 followers 220 following 31 posts

Cognitive Neuroscientist | Predictive Processing & Perception Researcher. At: CIMCYC, Granada. Formerly: VU Amsterdam & Donders Institute. https://www.richter-neuroscience.com/

www.richter-neuroscience.com

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David Richter @davidrichter.bsky.social · Nov 13

High-level visual prediction errors in early visual cortex!

In collaboration with @timkietzmann.bsky.social and @predictivebrain.bsky.social we explored what type of surprise drives the enhanced sensory response often observed for surprising inputs.

doi.org/10.1371/jour...

Summary 🧵 below

High-level visual prediction errors in early visual cortex

Surprising sensory input triggers stronger neural activity than expected input, but at which level of the cortical hierarchy are these predictions made? This study shows that prediction errors are com...

doi.org

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David Richter @davidrichter.bsky.social · Aug 11

If you’re into predictive processing and curious about the ‘what & when of visual surprise’, come see me at #CCN2025 in Amsterdam!

Poster B23 · Wednesday at 1:00 pm · de Brug.

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Tim Kietzmann @timkietzmann.bsky.social · Aug 9

Hi, we will have three NeuroAI postdoc openings (3 years each, fully funded) to work with Sebastian Musslick (@musslick.bsky.social), Pascal Nieters and myself on task-switching, replay, and visual information routing.

Reach out if you are interested in any of the above, I'll be at CCN next week!

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Peter Kok @peterkok.bsky.social · Aug 8

We are recruiting a new PI at the FIL @imagingneuroucl.bsky.social, Associate or Full Professor. This is an amazing place to do cognitive neuroscience, in the heart of London. If you or someone you know might be interested, please pass it on. #neuroskyence

www.ucl.ac.uk/work-at-ucl/...

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).

www.ucl.ac.uk

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Liad Mudrik @liadmudrik.bsky.social · Jul 21

If you are interested in pursuing a PhD in cognitive neuroscience, specially targeting conscious vs. unconscious processing, contact me. We are recruiting 🙏🧠 please RT

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Carlos González-García @gonzalezgarcia.bsky.social · Jul 18

🚨 We’re hiring a postdoc!
Join the FLARE project @cimcyc.bsky.social to study sudden perceptual learning using fMRI, RSA, and DNNs.
🧠 2 years, fully funded, flexible start
More info 👉 gonzalezgarcia.github.io/postdoc/

DMs or emails welcome! Please share!

Postdoc Position – FLARE Project

gonzalezgarcia.github.io

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Tim Kietzmann @timkietzmann.bsky.social · Jul 8

Exciting new preprint from the lab: “Adopting a human developmental visual diet yields robust, shape-based AI vision”. A most wonderful case where brain inspiration massively improved AI solutions.

Work with @zejinlu.bsky.social @sushrutthorat.bsky.social and Radek Cichy

arxiv.org/abs/2507.03168

arxiv.org

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David Richter @davidrichter.bsky.social · Jun 26

If you are interested in more details check out the preprint here:
www.biorxiv.org/content/10.1...

Rapid Computation of High-Level Visual Surprise

Predictive processing theories propose that the brain continuously generates expectations about incoming sensory information. Discrepancies between these predictions and actual inputs, sensory predict...

www.biorxiv.org

David Richter @davidrichter.bsky.social · Jun 26

Taken together, our findings demonstrate that high-level visual predictions are rapidly integrated during perceptual inference. This suggests that the brain's predictive machinery is finely tuned to utilize expectations abstracted away from low-level sensory details, likely to facilitate perception.

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David Richter @davidrichter.bsky.social · Jun 26

We also found a curious decrease in ERP amplitude by semantic (word-based) surprise. Critically, we found no modulation by low-level visual surprise, even though stimuli were predictable all the way down to the pixel level.

David Richter @davidrichter.bsky.social · Jun 26

Next, we turned to the key questions – when and what kind of surprise drive visually evoked responses? Results showed that neural responses around 200ms post-stimulus onset over parieto-occipital electrodes were selectively enhanced by high-level visual surprise.

David Richter @davidrichter.bsky.social · Jun 26

First, as a sanity check, we used RSA to show that the DNN and other models of interest (a semantic word-based and a task model) well explained the EEG response irrespective of surprise.

David Richter @davidrichter.bsky.social · Jun 26

We investigated these questions using EEG and a visual DNN. Participants viewed object images that were probabilistically predicted by preceding cues. We then quantified trial-by-trial surprise at low-levels (early DNN layers) and high-levels (late DNN layers) of visual feature abstraction.

David Richter @davidrichter.bsky.social · Jun 26

Predictive processing holds that the brain continuously generates predictions about incoming sensory information. But at what level of abstraction does the brain predict – edges & contrasts or high-level textures & objects? And which stages of visual processing do such predictions modulate?

David Richter @davidrichter.bsky.social · Jun 26

The what and when of visual surprise:
EEG shows that high-level visual surprise emerges rapidly and modulates neural responses ~200ms after stimulus onset.

New preprint with @paulapena.bsky.social and @mruz.bsky.social available here: doi.org/10.1101/2025...

Summary 🧵 below

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Clare Press @clarepress.bsky.social · Jun 19

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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Peter Kok @peterkok.bsky.social · Jun 10

New MEG paper by @jhaarsma.bsky.social and @dotproduct.bsky.social‬! Same design and behavioural results as our 7T layer fMRI study (www.jneurosci.org/content/43/4...), but now shedding light on the temporal dynamics of the sensory signals underlying false percepts. #neuroskyence

Shared and diverging neural dynamics underlying false and veridical perception

We often mistake visual noise for meaningful images, which sometimes appear as convincing as veridical percepts. This suggests considerable overlap between the mechanisms that underlie false and verid...

www.jneurosci.org

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Daniel Yon @danieljamesyon.bsky.social · Jun 6

Looking for a PhD in #psychology or #cogneuro ? I’m recruiting a fully-funded @leverhulme.ac.uk PhD student to join my lab at @birkbeckpsychology.bsky.social. If you’re interested in metacognition, learning, social cognition and culture I’d love you to apply 🧠👇

www.jobs.ac.uk/job/DNJ330/p...

PhD Studentship: Public Communication and Private Confidence at Birkbeck, University of London

Find a PhD Studentship: Public Communication and Private Confidence on jobs.ac.uk, the top job board in higher education. Click to view more!

www.jobs.ac.uk

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Nadine Dijkstra @nadinedijkstra.bsky.social · Jun 5

I am so excited to share that our paper 'A neural basis for distinguishing imagination from reality' is now published in @cp-neuron.bsky.social! 🧠✨ See thread below! doi.org/10.1016/j.ne...

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Tim Kietzmann @timkietzmann.bsky.social · Jun 6

Introducing All-TNNs: Topographic deep neural networks that exhibit ventral-stream-like feature tuning and a better match to human behaviour than the gold standard. Now out in Nature Human Behaviour. 👇

Zejin Lu @zejinlu.bsky.social · Jun 6

Now out in Nature Human Behaviour @nathumbehav.nature.com : “End-to-end topographic networks as models of cortical map formation and human visual behaviour”. Please check our NHB link: www.nature.com/articles/s41...

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Federico De Martino @fedemar.bsky.social · Jun 3

PhD position alert!!!
Together with @predictivebrain.bsky.social and Sonja Kotz we are looking for a PhD candidate to join a great project on the biological foundations of perceptual decisions vacancies.maastrichtuniversity.nl/job/Maastric...

Happy to answer any question you may have!

PhD position in biological foundations of neural control

vacancies.maastrichtuniversity.nl

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Juan Linde-Domingo @lindedomingo.bsky.social · May 29

New preprint! 🚨→ Determinants of Visual Ambiguity Resolution. A new work with @ortiztudela.bsky.social @jvoeller.bsky.social @martinhebart.bsky.social and @gonzalezgarcia.bsky.social

We created ~2k images and collected ~100k responses to study visual ambiguity.

www.biorxiv.org/content/10.1...

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Dan Feuerriegel @danfeuerriegel.bsky.social · May 27

New paper from the lab!!

We add to the (lack of) evidence for expectation effects in carefully-controlled predictive cueing designs.

doi.org/10.1111/psyp...

Led by Carla den Ouden and Máire Kashyap, collaborating with Morgan Kikkawa

<em>Psychophysiology</em> | SPR Journal | Wiley Online Library

Stimulus expectations are widely assumed to modulate the responsiveness of neurons in the visual system. However, there is currently a lack of clear evidence from electrophysiological studies to supp....

doi.org

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andrea e. martin @andreaeyleen.bsky.social · May 20

my lab (lacns.github.io) at @mpi-nl.bsky.social and @dondersinst.bsky.social is recruiting for two PhD and two postdoctoral positions funded by an @erc.europa.eu Consolidator - come join us!

PhD: www.mpi.nl/career-educa...

Postdoc: www.mpi.nl/career-educa...

(please share widely)

Language and Computation in Neural Systems

We are an international group of scientists consisting of linguists, cognitive scientists, cognitive neuroscientists, computational neuroscientists, computational modellers, computational scientists, ...

lacns.github.io

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micha heilbron @mheilbron.bsky.social · May 23

New preprint, w/ @predictivebrain.bsky.social !

we've found that visual cortex, even when just viewing natural scenes, predicts *higher-level* visual features

The aligns with developments in ML, but challenges some assumptions about early sensory cortex

www.biorxiv.org/content/10.1...

Higher-level spatial prediction in natural vision across mouse visual cortex

Theories of predictive processing propose that sensory systems constantly predict incoming signals, based on spatial and temporal context. However, evidence for prediction in sensory cortex largely co...

www.biorxiv.org

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Reposted by David Richter

Peter Kok @peterkok.bsky.social · May 22

Our study using layer fMRI to study the direction of communication between the hippocampus and cortex during perceptual predictions is finally out in Science Advances! Predicted-but-omitted shapes are represented in CA2/3 and correlate specifically with deep layers of PHC, suggesting feedback. 🧠🟦

Communication of perceptual predictions from the hippocampus to the deep layers of the parahippocampal cortex

High-resolution neuroimaging reveals stimulus-specific predictions sent from hippocampus to the neocortex during perception.

www.science.org

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