Very cool RIFT study by @arora__borealis!
Do we engage early visual areas when prioritizing VWM versus Perception? Does space play the same role in both? Which measures of attention (RIFT, Alpha, Microsaccades) dissociate internal and external selection?
Check the preprint!
New preprint alert!
In the first project of my PhD, we use RIFT to show that the visual system is not passively recruiting mechanisms of external attention for prioritization in VWM, but is instead using space as an organizational principle to store and select items in VWM.
In a dynamic world, items appear, disappear, and reappear within seconds. In our latest preprint we show: the reappearance of maintained items guides the prioritization of non-reappearing memory items.
https://t.co/GfckJ5NVaj
How can you study each phase of visual working memory using pupillometry? In our new review, we outline how encoding, maintenance and prioritization are reflected in pupil size.
Open access:
https://t.co/ZYMSUSNkRB
🚨Hi Tweeps, please allow me proudly present the CAP-lab website: https://t.co/scRxHddOiY
Where CAP stands for Consciousness, Attention, & Perception (and coincidentally refers to my favorite clothing attribute).
Please, have a look, and don't forget to follow my PhD students!
Tomorrow at 4 pm (CET), Prof. Sabine Kastner will provide the upcoming Helmholtz lecture, "Neural dynamics of the primate attention network." Refer to the link to find the abstract and location, or if you want to request to join online https://t.co/5db2iFoTwf
Beta doesn’t simply vanish following tactile stimulation. Like alpha's perceptual echoes, beta responds with phase-locked bursts to white noise and single pulses.
Echoes aren't confined to vision - they're a basic supramodal signature of sensory processing https://t.co/nvjBjbGwss
@abhidwarakanath@SuryaGayet@SvanderStigchel@chris_olivers Thanks Abhilash! We did find increased alpha power in the memory condition which could suggest stronger involvement of top-down processes. I would be very happy to discuss some further ideas/analyses with you!
Why spend resources to represent information that is already available in the external world? "Surprisingly" we don't: Our new paper in Cereb. Cortex (OA) shows better decoding of stimulus features during working memory than perception. https://t.co/8lwuUGIT5X
Very excited to share our new preprint on visual processing in the octopus! Led by Judit Pungor @traceofpink, together with @jsongco_ and @climbing_octo, we measured the functional organization of visual responses in the octopus brain. 🐙👁️
https://t.co/J99W57NoOl
1/n
**JOB POSITION ALERT**
Join me in Toulouse (France) for a 3 years postdoc in Computational Neuroscience, working on Predictive Coding and Travelling Waves!
Please RT and spread the word!
More details here: https://t.co/mGWojqYRDE
2-Minute read on location prediction of moving objects. Fantastic summary (eLife insight) by @DKoevoet and @AndreSahakian. Got more than 2 minutes? Highly recommend reading the full paper by @phil__johnson and @HinzeHogendoorn.
Since neural processing takes time, the brain only has access to outdated information? How is it possible that humans are able to react effectively to extremely fast events, such as hitting an approaching baseball? Recent work proposes motion prediction to play an important role!
When we open our eyes, we feel we see the present moment. But because neural processing takes time, the brain only has access to outdated information. So how does it create our experience of the present? I propose a possible answer in @TrendsCognSci: https://t.co/DyAm1fLdZL 1/15
We are looking for a postdoc to join us in the Dynamics of Cognition Lab. We are investigating the neural basis of cognitive flexibility associated with selective attention and working memory. If you’re potentially interested, DM. And please RT!
Brookshire shows that a widely used approach to identifying rhythms in behavioral data can misclassify consistent, non-rhythmic patterns as rhythmic. Importantly, evidence for rhythms in attention isn’t limited to behavioral data. My comment from bioRxiv: https://t.co/JtQ5WDfv9Y