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Posts by Elkan Akyurek

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Tenure Track Assistant Professor in Cognitive Psychology The Department of Psychology at the University of Southern Denmark invites applications for a full-time position as tenure-track Assistant Professor. The position is a six-year tenure-track appointmen...

Tenure-track position in Denmark "with a particular focus on visual perception, including visual attention, working memory, and visual neuroscience" #neurojobs #neuroskyence #visionscience
fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/Candid...

7 hours ago 13 13 0 0
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❤️‍🔥 Exciting new preprint ❤️‍🔥 #Pupil constriction causes, by itself and independently of visual stimulation, activity in the human #retina and #visual system. w/ @anavili.bsky.social @veerahelmisofia.bsky.social @hakankarsilar.bsky.social @olaf.dimigen.de 1/4 🧵
www.biorxiv.org/content/10.6...

4 days ago 26 12 1 2
Emergence of Successor Representations and Experimental Design. Top: Example of how sequence learning and sleep might change neural representations. Upon encountering a Welsh Corgi, the brain primarily represents the current stimulus entity. If the Corgi is part of a recurring temporal sequence (Corgi → Girl → House), subsequent stimuli (Girl and House) might be integrated into the Corgi representation. Post-learning sleep might provide an opportunity for the brain to replay learned experiences and thereby further strengthen successor representations. Upon post-sleep exposure to a Corgi image (right), brain activation patterns might reflect both the current stimulus (Corgi) as well as learned successors (Girl, House). Faded images indicate weaker representations. Middle: Timeline of the experiment. Participants first completed a perceptual task, followed by a sequence learning task (Memory Arena). Memory for the learned sequence was then assessed both before and after a period of sleep. Finally, participants completed the perceptual task again. Bottom left: Memory Arena sequence design. Participants (N = 26) were tasked with learning the spatiotemporal structure of 50 images. These images belonged to five distinct categories (letter strings, scenes, objects, faces, and body parts) and were organized into 10 subsequences of five images each, following one of two fixed category orders: (i) letter string, scene, object, face, or (ii) object, scene, letter string, face, with body part images randomly inserted to obscure the primary category sequences. The two subsequence types were counterbalanced across participants. Bottom right: Memory Arena location design. The Arena was spatially organized into five principal ‘slices’, with each slice corresponding to one of the five main image categories.

Emergence of Successor Representations and Experimental Design. Top: Example of how sequence learning and sleep might change neural representations. Upon encountering a Welsh Corgi, the brain primarily represents the current stimulus entity. If the Corgi is part of a recurring temporal sequence (Corgi → Girl → House), subsequent stimuli (Girl and House) might be integrated into the Corgi representation. Post-learning sleep might provide an opportunity for the brain to replay learned experiences and thereby further strengthen successor representations. Upon post-sleep exposure to a Corgi image (right), brain activation patterns might reflect both the current stimulus (Corgi) as well as learned successors (Girl, House). Faded images indicate weaker representations. Middle: Timeline of the experiment. Participants first completed a perceptual task, followed by a sequence learning task (Memory Arena). Memory for the learned sequence was then assessed both before and after a period of sleep. Finally, participants completed the perceptual task again. Bottom left: Memory Arena sequence design. Participants (N = 26) were tasked with learning the spatiotemporal structure of 50 images. These images belonged to five distinct categories (letter strings, scenes, objects, faces, and body parts) and were organized into 10 subsequences of five images each, following one of two fixed category orders: (i) letter string, scene, object, face, or (ii) object, scene, letter string, face, with body part images randomly inserted to obscure the primary category sequences. The two subsequence types were counterbalanced across participants. Bottom right: Memory Arena location design. The Arena was spatially organized into five principal ‘slices’, with each slice corresponding to one of the five main image categories.

How do experiences reshape our internal representations of the world? @bstaresina.bsky.social &co show that learning sequential experiences reshapes how the #brain represents what we see; a post-learning nap strengthens these predictive changes @plosbiology.org 🧪 plos.io/4dJGwMC

1 week ago 14 8 0 1

Yuanyuan did a great job on this one! If you're interested in working memory & EEG, stay tuned for a couple more projects from her, coming out soon.

1 week ago 7 0 0 0

JOB ALERT: PhD opening in my lab!

@cimecunitrento.bsky.social
in Italy, as part of an Italian FIS3 starting grant.

The project will use advanced analysis methods of MEG data to investigate how our world's naturalistic hierarchical structure facilitates predictive neural processing.

2 weeks ago 35 26 2 0
Open Positions

We have a new PhD position at the University of Zurich to work on visual working memory. For more info see here:
www.psychology.uzh.ch/en/areas/nec...

3 weeks ago 21 21 0 2
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🎓 𝐁𝐒𝐒 𝐏𝐡𝐃 𝐝𝐞𝐟𝐞𝐧𝐜𝐞 𝐜𝐞𝐫𝐞𝐦𝐨𝐧𝐢𝐞𝐬 - We are proud to announce the upcoming promotion at BSS! 👇🏻

Sophia Wilhelm - Working memory undercover: Searching for traces of synaptic states in neuronal activity across wake and sleep

👉 Read more: edu.nl/xwf39

2 weeks ago 8 2 0 0
Open Rank Faculty Cluster Hire Search for the New Department of Cognitive Science at Bocconi - Bocconi University

A new Department of Cognitive Science is being created at Bocconi University in Milan, Italy.

Here is the call for a cluster hire (for around 10 faculty) in all areas of cognitive science, at both junior and senior levels:

www.unibocconi.it/en/faculty-a...

Deadline: May 4th, 2026

1 month ago 148 119 3 3
Jobs - The University of York

Exciting news! The @yorkpsychology.bsky.social are recruiting 3 new ART (research and teaching) lecturers! One role will be prioritised for cognitive, affective and/or social neuroscience.

#neuroskyence #cognition #psychscisky #neurojobs

1 month ago 65 60 1 5
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Retrieval accuracy for practiced associations (RP+), for associations that were not practiced, but were in the same event (RP-), and for associations and events that were not practiced at all (NRP). Retrieval was higher in the RP+ and RP- conditions than in the NRP condition, and RP+ and RP- did not differ from each other.

Retrieval accuracy for practiced associations (RP+), for associations that were not practiced, but were in the same event (RP-), and for associations and events that were not practiced at all (NRP). Retrieval was higher in the RP+ and RP- conditions than in the NRP condition, and RP+ and RP- did not differ from each other.

We observed holistic retrieval: Retrieving one element from an episodic event causes incidental retrieval of associated elements. Practiced (RP+) and not-practiced associations from the same events (RP-) were recalled equally well, over associations from events that were not practiced at all (NRP).

1 month ago 2 0 0 0
OSF

We have a new preprint out, in which @zehan-camilla.bsky.social, me, and Mark Nieuwenstein studied retrieval in episodic memory! Full read here:
doi.org/10.31234/osf...

1 month ago 5 2 1 1

Impulse perturbation can help with that, but it does require *many* trials per experiment.

1 month ago 0 0 1 0

I am happy to be attending #CNS2026 with the Yale Wu Tsai Institute travel award to present this paper👇🏻 as a poster - it’ll be on Monday from 2:30-4:30pm (session E), come check it out!

1 month ago 19 8 0 0

I am glad to attend #CNS2026 in beautiful Vancouver🇨🇦! I will present my work on action planning in visual working memory. In this project, we focus on the factors leading motor planning such as selective attention, affordances and task requirements. Meet me at the Poster Session B (B38)!

1 month ago 16 6 0 0
Job Opening Annonce d'ouverture de poste

We are looking for a new colleague!🧠🇨🇭🦩
A new post doc position is available in our lab - check the link for more details!

www.unige.ch/fapse/womcog...

1 month ago 11 10 0 3

Some cool work by the indomitable @nursenaataseven.bsky.social Check it out👇

1 month ago 3 0 0 0
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Are you interested in psychological experiments, but feel a little unsure about programming. Try OpenSesame. Not only has it a user-friendly GUI, it is also connected to SigmundAI, an AI assistant that can basically make the experiment for you! Super cool stuff by @cogsci.nl

1 month ago 8 4 0 0

🚨 Job alert🚨 My former lab in Germany led by Daniel Schneider is recruiting a postdoc. Daniel’s research sits at the intersection of memory and attention, and the ideal candidate will have expertise in EEG and/or fMRI.
👉Job ad in English: www.dropbox.com/scl/fi/br2vg... 1/n

2 months ago 11 12 1 0
Feature and space-based interference with functionally active and passive items in working memory Functionally active and passive states in working memory have been related to different neural mechanisms. Memoranda in active states might be maintained by persistent neural firing, whereas memoranda in passive states might be maintained through short-term synaptic plasticity. We reasoned that this might make these items differentially susceptible to interference during maintenance, in particular that passively maintained items might be more robust. To test this hypothesis, we gave our participants a working memory task in which one item was prioritised (active) by always probing it first, while the other item was deprioritised (passive) by always probing it second. In two experiments, on half the trials, we presented an interfering task during memory maintenance, in which the stimuli matched either the feature dimension of the memory items (colour or orientation), or their spatial location. Whether the interfering task appeared on a given trial was unpredictable. In a third experiment where participants were given prior knowledge of the interference condition, and finally in a fourth experiment we used a reward-based prioritisation cue. Across experiments, we found that both active and passive memory items were affected by interference to a similar extent, with overall performance being closely matched in all experiments. We further investigated precision and probability of target response parameters from the standard mixture model, which also showed no differences between states. We conclude that active and passive items, although potentially stored in different neuronal states, do not show differential susceptibility to interference. ### Competing Interest Statement The authors have declared no competing interest.

🎉 My first first-author paper was just accepted in JEP:HPP! We asked what “active” vs “passive” WM states do - do they protect against interference? Across 4 behavioural experiments we find no reliable protection. Updated preprint here: doi.org/10.1101/2024.02.05.578913 @elkanakyurek.bsky.social

2 months ago 17 5 0 0

Cool work! I would personally think that post-target intrusions are likely caused by temporal integration, rather than 'sluggish' attentional processes. :)

2 months ago 2 0 1 0
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Have you ever wanted to study individual differences in attention only to be frustrated by prohibitive low reliability?

If so, what a coincidence!

Let me introduce you to the first study from the newly formed Sheffield PandA lab:

Using RSVPs to measure the speed of attention: rdcu.be/e0t0A

1/

2 months ago 33 12 2 1

New preprint on how working memory (WM) supports event segmentation. Using load-sensitive EEG markers, we test whether WM accumulates information within events or instead reactivates prior event information at boundaries. osf.io/preprints/ps...

3 months ago 14 5 1 0
OSF

Our new preprint is out!

Using a continuous-report paradigm, we show that divided attention reliably disrupts long-term memory retrieval by reducing accessibility—not precision.

Two experiments + mixture modeling + TCC.

Link: osf.io/preprints/ps...

4 months ago 21 7 1 1
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Hoger onderwijs hoopt met nieuwe staking druk te leggen op de formatie Het hoger onderwijs staakt op 9 december opnieuw tegen de bezuinigingen. Onder andere WOinActie, studentenvakbonden, FNV en de Algemene Onderwijsbond (AOb) hopen zo druk te leggen op de formatie.

9 december! Zegt het voort!
ukrant.nl/hoger-onderw...

5 months ago 28 27 0 0
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Postdoc Position: Neural Circuitry Underlying Working Memory | Radboud University Do you want to work as a Postdoc Position: Neural Circuitry Underlying Working Memory at the Faculty of Social Sciences? Check our vacancy!

🚨🧠🚨 POSTDOC POSITION 🚨🧠🚨 in my lab: www.ru.nl/en/working-a... Connectivity in Working Memory. Deadline 12 Nov! Apply via website; please repost.

5 months ago 37 38 1 0
Decoding working memory contents from induced alpha power. Decoding is largely successful during the short (1 second) delay, for both prioritized and deprioritized items. However, in the long (3 seconds) delay, deprioritized items eventually return to baseline.

Decoding working memory contents from induced alpha power. Decoding is largely successful during the short (1 second) delay, for both prioritized and deprioritized items. However, in the long (3 seconds) delay, deprioritized items eventually return to baseline.

Decoding working memory contents from induced alpha power was largely successful in the short delay (left), but importantly, deprioritized items eventually vanished completely in the long delay (right). Work lead by Yuanyuan Weng and in collaboration with Jelmer Borst. 3/3 #neuroskyence #cogpsyc

6 months ago 2 0 0 0
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Decoding working memory contents from raw voltage. Across both short (1 second) and long (3 second) retention delays, decoding returns to baseline. In the long delay, just prior to the onset of the memory probe, decoding re-emerges, likely in anticipation of the response.

Decoding working memory contents from raw voltage. Across both short (1 second) and long (3 second) retention delays, decoding returns to baseline. In the long delay, just prior to the onset of the memory probe, decoding re-emerges, likely in anticipation of the response.

Our task included a longer-than-usual delay period of 3 seconds, where working memory maintenance should have stabilized. Voltage decoding dropped to zero even in the short delay (left panel), and re-emerged only just before the probe in the long delay (right panel), presumably in anticipation. 2/3

6 months ago 4 0 1 0
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Sustained alpha oscillations serve attentional prioritization in working memory, not maintenance Recent theory on the neural basis of working memory (WM) has attributed an important role to "activity-silent" mechanisms, suggesting that sustained neural activity might not be essential in the reten...

New preprint!

Working memory contents can be decoded from alpha band power. But does working memory maintenance really depend on these oscillations?

We say no, because we found that alpha power decoding only works for prioritized items, not deprioritized ones. 1/3

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

6 months ago 18 5 1 0
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Job alert!🚨
Join us @uab.cat to investigate human memory representations with intracranial recordings, eye-tracking, immersive VR and deep learning. This is a fully funded, four-year PhD position at the Prediction and Memory Lab.
Feel free to reach out if you have any questions!

6 months ago 8 4 1 0

We’re looking for a postdoc to join our Max Planck group in Germany some time in 2026. If you have computational and/or neuroimaging expertise, and are interested in questions intersecting perception and cognition, please reach out! I’ll also be happy to chat at the #Bernsteinconference this week.

6 months ago 63 54 1 1