Lmst

The more we know the more we see how interconnected all the body systems are. #complex #devsci #science www.science.org/doi/10.1126/... www.science.org/doi/10.1126/...

Muscle-derived myostatin is a ...

The more we know the more we see how interconnected all the body systems are. #complex #devsci #science

https://www.science.org/doi/10.1126/science.adu7735
https://www.science.org/doi/10.1126/science.adi4736

1/2 More science breaks to clear out the incoming sh-t. Offering up a little science this morning as a corrective to all the sh-t that is taking up space in our brains. #science #devsci #HPBIO #complex www.nature.com/articles/s41... 5 ways in which cell atlases reveaL valuable biological insights

The Human Cell Atlas from a ce...

Yay! Open Access. Note that this is a study in mice. Don't know about humans. But a new aspect of bone building regulation that down the road could have medical use. In the mean time, bodies are regulated my multiple and complex systems. #complex #science #devsci

https://www.nature.com/articles/s41586-024-07634-3

Hi autism researchers, have you run experiments online and noticed that participants who report they *aren't* autistic score highly on autism trait questionnaires?

I'm using the RAADS-14 but interested in your experiences with any questionnaire. Do let me know what you're using! And boosting is welcome :)

[Note: "Ps" = participants]

#academicChatter #devSci #autismResearch

"Autistic and nonautistic adolescents do not differ in adaptation to gaze direction" https://doi.org/10.1002/aur.3118

I was reminded today that a talk I gave on this project for Neuromatch was recorded, so if you're interested in the paper but tldr, you can catch the main message in just 15 min 45 s here:

https://www.youtube.com/watch?v=v0Xn_VqE8ro

#autism #cognitivePsychology #development #devSci #PredictiveProcessing

My paper on adaptation after-effects in autistic and non-autistic teenagers is out in Autism Research! 🎉

"Autistic and nonautistic adolescents do not differ in adaptation to gaze direction"

These autistic teens show a large adaptation after-effect behaviourally, though we don't see the after-effects in EEG, and we try to interpret this in light of Predictive Processing accounts of autism.

https://doi.org/10.1002/aur.3118

#autism #cognitivePsychology #development #devSci #PredictiveProcessing

Two panels with boxplots, the lefthand one subtitled "Pre-adaptation" and the righthand one subtitled "Post-adaptation". The legend shows blue solid lines for "Autistic group" and red dashed lines for "Nonautistic group". On both, the y axis reads "Proportion" and goes from 0 to 1 and the x axis reads "Adapted", "Direct" and "Unadapted".

In the lefthand Pre-adaptation panel, the boxplots for both groups are around 0.25 for both Adapted and Unadapted, with Direct at around 0.5. In the righthand Post-adaptation panel, the boxplots for both groups are around 0 for Adapted, around 0.6 for Direct and around 0.3 for Unadapted. This means that both groups responded similarly to the manipulation and both showed a strong adaptation after-effect.

Very excited to share this preprint I wrote with Danaja Rutar, @LorijnZ , @francescopoli & Sabine Hunnius.

We first introduce #PredictiveProcessing and define its terms with *lots* of examples, and then point out that it cannot yet account for
#development

PP claims to be a unifying account of #cognition , and as such should apply to all humans.

We propose two additions which are necessary not only for completeness of PP,
but also for #devsci to be able to use it.

https://osf.io/preprints/psyarxiv/wktz8

A set of graphs showing probability distributions over sizes of objects. There are 3 panels, A, B, and C, and each has a graph with a long caption.

A. Before I walk out of my house, I have a representation of the sizes of vehicles I have seen before, shown here in blue. Size is the variable we are depicting, and the expected value is represented by the probability of each value on the x axis. I have seen mostly cars of medium size, some smaller motorbikes and some larger vans, so the probabilities reflect this. The mean of this distribution is the point estimate of my prior expectation, and the inverse of the variance is the precision of the expectation.

B. When I do walk out of my house, I make a new observation. I see the elephant which has turned up on my street, and the estimate of its size is shown here in green. I have some uncertainty around the size of the elephant, because vision isn’t that reliable for estimating size, so the distribution has some variance. Because there is little overlap between the distributions, despite the uncertainty about the actual size, I can still tell that the elephant is larger than the expected vehicle size.
C. Under the standard Bayesian integration to update my model, I would come up with the new estimate of the value of the variable parked-object size, shown here in red. Note that this integration loses some of the specific details of the observation and results in a general expectation for the size of all parked objects.

A systematic review I helped with is out today! We summarise the existing research using flickering stimuli* to understand visual cognition in the first 6 years of life, with explanations of the different methodological approaches and some of the insights these approaches have yielded

*also known as frequency-tagging, fast periodic visual stimulation, rhythmic visual stimulation, and many other names

https://doi.org/10.1016/j.dcn.2023.101315

#cogNeuro #cogSci #systematicReview #visionScience #devSci

#devsci

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