Everyone: Binocular rivalry describes an alternation between exclusive percepts from each eye.
Me + Prof Bex:
Which perceptual categories do observers experience during multistable perception? url: royalsocietypublishing.org/rspb/article...
Everyone: Binocular rivalry describes an alternation between exclusive percepts from each eye.
Me + Prof Bex:
Which perceptual categories do observers experience during multistable perception? url: royalsocietypublishing.org/rspb/article...
Everyone: Binocular rivalry describes an alternation between exclusive percepts from each eye.
Me + Prof Bex:
Which perceptual categories do observers experience during multistable perception? url: royalsocietypublishing.org/rspb/article...
Happy new year everyone!
Just in time for the holidays βexciting news!
Our latest validation study is out in the Journal of Translational Medicine:
"Novel color vision assessment tool: AIM color detection and discrimination" by Jingyi He, @janskerswetat.bsky.social , & Peter Bex.
Alright , ARVO extended the deadline
@arvoinfo.bsky.social login website is down
Because of a few thousand people uploading and tweaking abstracts ?
Right eye dominant:
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Left eye dominant:
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Honorable mentions:
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Agree?
One way to get your citation count upπ
Universities.
I wonder whether there are any exceptions.
@sfn.org I will be at SfN β25 and will present the first data using our recently developed adaptive Object discrimination tasks FInD Object and PeDS.
11/19, 8am, @ SDCC Halls B-H, Poster # PSTR393
#SfN2025
#VisionScience
Welcome to SoCal Pete π
@ucisocsci.bsky.social
Agreed, I appreciate the conversation.
If I compare AI from 2020 vs now, that is the direction. There is too much incentive to build such AI, and thatβs why publishers will be probably the first who will jump on this ship.
Ethically , if an AI is better than an expert human reviewer, it will be no longer defensible to use human
Itβs the utopian take on where AI can lead: it will be better in reviewing than human reviewers.
Fact is, AI capabilities improvement is a one way street. Just a matter of time when the first journal will rely on it only.
With the rise of AI, Iβm not sure whether the knowledge communication through journals will or should survive. I speculate that Journals will be platforms for AIs, becoming middleman between scientists and AI providers. At some point, they can be skipped all together.
The irony is of course that I have and will continue to publish in special journals, still it doesnβt mean that we still need those.
Ok, I agree that we will probably lose those editorials.
How does the community fragment when publishing pdfs in different servers reviewed by experts? (Probably soon by AI)
βLoss of focusβ means what?
If you get very close you can see the boundary of S cone distribution; one big circle would do the same trick
Question for the scientific reviewers: when reviewing a paper, which is pre-registered, do you compare contents pre vs actual submission? Does it or should it even matter in your judgement?
When I read a pdf, I look how it has been published (transparency of publication process), who wrote it, and the content. The label of the pdfβs publisher is important for brand equity reasons and scale or reach.
So the argument for specialised journals is: editors and reviewers have more shared domain expertise and that is better than having one external (editor)
βFlashy stories βoccur more in general journals (I highly doubt the truth of the claim) therefore specialised journals are needed?
Yes, my statement was referring to a wider domain knowledge gap in general vs special journals.
* meaning: domain knowledge gap between editors and reviewers
Ok, the situation in every general journal. Why is that important or good?
π
What???? No account anywhere? π
I like that too, happens to me here daily and whenever Iβm on other platforms, passively. On researchgate it happens when Iβm searching for something, again with the advantage to not being constrained by a journal. Btw,
Ask your AI to provide you an interested latest list of research
For active search google scholar and AI models are the way.
I find the social media science bots way better in doing what you described as they are not constrained by journal. Letβs call that passive research exposure. Really the only reason why Iβm here and on ResearchGate. Plus I can chat with you directly.