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#meg

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The vOICe vision BCI 🧠🇪🇺

Shared and diverging neural dynamics underlying false and veridical perception jneurosci.org/content/early/20 Now let's "mistake" meaningful noise as meaningful images through enhanced reliance on top-down signalling? #MEG #neuroscience

Journal of Neuroscience · Shared and diverging neural dynamics underlying false and veridical perceptionWe often mistake visual noise for meaningful images, which sometimes appear as convincing as veridical percepts. This suggests considerable overlap between the mechanisms that underlie false and veridical perception. Yet, false percepts must arise at least in part from internally generated signals. Here, we apply multivariate analyses to human MEG data to study the overlap between veridical and false perception across two aspects of perceptual inference: discrimination of content (what did I see?) and detection (did I see something?). Male and female participants performed a visual discrimination task requiring them to indicate the orientation of a noisy grating, as well as their confidence in having seen a grating. Importantly, on 50% of trials only a noise patch was presented. To exclude external signals driving false percepts, noise patches were carefully designed not to contain orientation signal. Still, participants occasionally confidently reported seeing a grating on noise-only trials, dubbed here false percepts. Decoding analyses revealed a sensory signal reflecting the content of these false percepts, despite no such grating being physically presented. Uniquely, high confidence false, but not veridical, percepts were associated with increased pre-stimulus high alpha/low beta [11-14Hz] power, potentially reflecting enhanced reliance on top-down signalling on false percept trials. Later on, a shared neural code reflecting confidence in stimulus presence emerged for both false and veridical percepts. These findings suggest that false percepts arise through neural signals reflecting both sensory content and detection, similar to veridical percepts, with an increase in pre-stimulus alpha/beta power uniquely contributing to false percepts. Significance statement The neural mechanisms underlying false percepts are likely different from those that underlie veridical perception, as the former are generated endogenously, whereas the latter are the result of an external stimulus. Yet, false percepts often get confused for veridical perception, suggesting a converging mechanism. This study explores the extent to which the mechanisms diverge and converge. We found that both high confidence false and veridical percepts were accompanied by content-specific stimulus-like orientation signals, as well as a shared signal reflecting perceptual confidence. In contrast, we found that false, but not veridical, percepts were preceded by increased high alpha/low beta [11-14 Hz] power, possibly reflecting a reliance on endogenous signals.
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JulietJFall

A beautiful exhibition at the MEG (Musée Ethnographique de Genève), professionally curated - cleverly contextualising objects and theories, without shying away from truly examining colonial guilt in Switzerland. Not to be missed! I was so touched that they suggested including my comic on Carl-Vogt.
#MEG #postcolonialtheory #history #colonialHistory #switzerland #museum #ethnography #anthropology #geography

Glass cases in museum exhibit showing objects from the collection, next to the comic placed on a wall
Extract of two books, one by Carl Vogt, showing worked of "scientific racial theory" based on skull measurements. The label contextualises the pieces, using a trigger warning for the racialised language
The six page comic is printed in large A3 pages, stuck on the wall, with a small label explaining the context of its first publication in a local newspaper
A glass case showcasing the 19th Century glass slides describing people from around the world, used by ethnographers, and that feature in the museum's collection
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Fabrice Tshimanga

I feel conflicted with Meta AI research.
On the one hand, I disapprove of basically anything Facebook or Instagram, as much as I do not like many LeCun stances or how he presents them.
On the other hand I've found much research on deep learning to be interesting and even ethical.
If I were in highschool I'd be very excited with their MEG image decoder, instead now it excites me more or less like a MEG classifier whose outputs prompt Stable Diffusion/Midjourney/DALL-E.... I cannot find it very interesting and I don't even know if it's just more skepticism and knowledge, or the uneasy feeling of seeing a company whose business model is surveillance capitalism + enshittification suggesting they can now directly surveil the brain (although they can't).

#meta#deeplearning#facebook
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