Vladislav Khvostov

Vladislav Khvostov

@khvo100v.bsky.social

Cognitive scientist. I study human visual perception, attention, and memory. Postdoc at the Vision and Cognitive Neuroscience lab (Golomb lab) @Ohio State University

78 Followers 120 Following 8 Posts Joined Jun 2025
4 months ago
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We see the forest, but what do we know about the trees? Our perception of ensembles may be richer than previously thought. Read more in a post by @ankosov.bsky.social on a new #psynomPBR paper by Vladislav Khvostov @khvo100v.bsky.social, Árni Gunnar Ásgeirsson, & Árni Kristjánsson buff.ly/3NCjHIz

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4 months ago

This is so cool! Great job!

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6 months ago

Is there a link (or instructions) to download the plugin? I could find only this one: www.piwheels.org/project/psyc...
Is that it?

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6 months ago

I am surprised to see how openly you (and people in comments) dismiss the entire research subfield. But as an ensemble perception researcher, I can say that it would be useful for us to hear any constructive feedback

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7 months ago
a visual illusion: what appears to be some strangely shaped pink pieces of cloth are actually the background on which several forks are laying

these are forks

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9 months ago
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Explicit access to detailed representations of feature distributions - Psychonomic Bulletin & Review The human visual system can quickly process groups of objects (ensembles) and build compressed representations of their features. What does the conscious perception of ensembles consist of? Observersʼ...

This result necessitates a fundamental rethinking of how ensembles are processed. We argue that such distribution representations (NOT Summary statistics) are the most natural way for the visual system to represent groups of objects.
Read the full story here: link.springer.com/article/10.3... 5/5

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9 months ago
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The distributions of responses, both aggregated and separate for each observer, followed the shape of the presented distribution. Thus, after only brief exposure to a color set, the visual system builds detailed representations of feature distributions that observers have explicit access to. 4/5

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9 months ago
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In our new paradigm (Feature Frequency Report), observers viewed 36 disks of various colors for 800 ms and then reported the frequency of a randomly chosen color using a slider. The sets had Gaussian, uniform, or bimodal color distributions with a random mean color. 3/5

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9 months ago

In our new paper, @arnig.bsky.social, Árni Kristjánsson, and I show that explicit ensemble representations are so much more than just Summary statistics — they contain information about the whole feature distribution! 2/5

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9 months ago
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What does our conscious perception of this set of berries consist of? If you heard about Ensemble perception, you could say: “It’s too much info for our poor attention/working memory systems, so instead of storing all the individual features, people just represent the average and variability.” 1/5

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