Cognitive scientist, postdoc at Justus Liebig University, Giessen. Natural/artificial vision/cognition.
Giacomo Aldegheri
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Fantastic work by my labmates, asking people to draw non-existing objects to reveal the structure of our internal category representations!
Folks at #VSS2026, stop by my poster this morning to hear about my work with Roland Fleming on these little guys and their navigational affordances! "Automatically perceiving paths through a scene", poster 53.348, Banyan Breezeway 8.30-12.30
Statistics of natural scenes shape contextual modulation in the visual cortex www.cell.com/neuron/fullt... - would be really interesting to do this right after eye opening!
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...
Giacomo Aldegheri
Giacomo Aldegheri
Kevin Mitchell
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...
Join us at the Max Planck Institute in Leipzig as a fully funded 4-year postdoc position (m/f/d) in Cognitive and Computational Neuroscience (Area: Social Cognition). Excellent infrastructure with a leading scientific network. Apply by 13 July: recruitingapp-5218.de.umantis.com/Vacancies/44...?
Our postdoc Dr. Tianjiao Zhang has released "Its Complicated", a great software library that provides infrastructure to implement naturalistic, complex, interactive experiments in game engines. The toolbox supports peripherals and coding game logic for later analysis.
gallantlab.org/Its-Complica...
What do we look for when searching for objects in our daily-life environments? Very happy that I can now share this review, together with @suryagayet.bsky.social , @predictivebrain.bsky.social and @peelen.bsky.social🥳
A brief thread below!
𝗥𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗯𝗿𝗮𝗶𝗻𝘀
Great paper discussing the challenges of understanding brain representations and the models-brain correspondence
#neuroskyence
t.co/9l1VU6Pox1
What is the minimal machinery needed for complex, cognition-like behavior? With @lostintheswarm.bsky.social, we show how self-sustained calcium oscillations, diffusion, and mechanics may be enough to coordinate behavior across a single cell with no nervous system.
www.biorxiv.org/content/10.6...
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Doeller Lab
Nika Adamian
Now out in Nature Neuroscience: "Fixation duration on natural scenes is explained by memory encoding not processing demand".
www.nature.com/articles/s41...
Our eyes don't linger because recognition is hard; they linger to remember. Let me take you on a quick tour. 🧵
By combining magnetoencephalography and eye tracking, this study sheds light on why people fixate on some parts of natural scenes longer than others. Rather than visual complexity, fixation durations ...
How does visual context shape neuronal responses to local features? Fu et al. demonstrate
that surround modulation in primary visual cortex neurons reflects how well context
matches the optimal local ...
How would you categorise these images? What features would you use? Preprint just went live looking at how we make sense of things we’ve never seen before (i.e., drawings just like these!). If that sounds interesting, read on or check out the preprint: www.biorxiv.org/content/10.6...
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Linnéa Gyllingberg
PessoaBrain
Maëlle Lerebourg
Philip Sulewski
Emily A-Izzeddin
Online Now: Attention in the wild: balancing flexibility and stability
dlvr.it
To prioritize the visual processing of task-relevant objects in our surroundings, we rely on an attentional template—an internal representation of object features that guides attention toward potential targets. Decades of research have characterized attentional templates for simple targets in artificial arrays. How could templates function in real-world search, where target appearance is variable and objects are embedded in complex, dynamic scenes? We consider two possibilities: (i) flexible templates that are adapted to changing scene contexts and (ii) stable (‘one-size-fits-all’) templates that generalize across contexts. We review recent behavioral and neuroimaging evidence for both possibilities and discuss how optimal search depends on balancing the relative costs and benefits of template adaptation, enabling efficient attention ‘in the wild’.