🫁❤️New preprint out: The social, decoupled self

We show effects of interpersonal synchronization of physiological rhythms on intrapersonal cardiorespiratory coupling: when we sync our breathing, our breathing–heart rhythms decouple, with a perturbed phase-relationship
www.biorxiv.org/content/10.1...

Here it is our new preprint on neural encoding of musical expectations in newborns!

in collaboration with B. Toth & I. Winkler's hungrain team and @giacomonovembre.bsky.social 's NPAlab

check it out 👇
www.biorxiv.org/content/10.1...

#musicscience #Neuroscience #MusicCognition #Neurodevelopment

Check out our new preprint on how infants respond to music over the first year of life! 👶🧠💃🎶
While neural responses are pretty much ready to go in the youngest, moving to music takes a bit longer, becoming more complex and potentially more dance-like by 12 months. www.biorxiv.org/content/10.1...

Thanks @sciencebanshee.bsky.social it was amazing to have you here! Hope to see you soon.

Update: Our biomechanics EMG/Posture study on voice and upper limb kinetics has been accepted at Proceedings B. We show that moving the arms (while manipulating mass) recruits (postural) muscles that interact with the voice through respiratory interactions. Postprint: wimpouw.com/files/Pouwet...

🚨 We’re hiring! 🚨

A postdoc position is available at my lab (npa.iit.it) in Rome! Join us to explore:

🎵 Neural bases of musicality (humans, infants, macaques)
💃🕺 Dance & joint music-making
🤝 Spontaneous social behavior

⬇️ Apply through the link below! ⬇️

Thanks @avsp.bsky.social

How accurately can we estimate spontaneous body kinematics from video recordings? Effect of movement amplitude on OpenPose accuracy link.springer.com/article/10.3... OpenPose (OP) vs Vicon (ground truth). OP: overall moderate/varies substantially across participants & body parts > small motion = bad

Our work can inform researchers on whether they can substitute traditional infrared-based approaches with video-based ones. It highlights the importance of considering factors such as movement amplitude when evaluating video-based methods, as well as the need for better algorithms and datasets.

OpenPose accuracy varied substantially, ranging from being inaccurate to perfect! Interestingly, this variability reflected the varying amplitude of movements performed - poor estimations for low-amplitude movements while, large-amplitude movements (>10 cm) yielded highly accurate estimates.

Video-based motion-tracking technologies are increasingly being used. But can we rely on such estimations? What factors might determine the accuracy? Using a large dataset of 550+ minutes from 46 subjects, we estimated the accuracy of OpenPose using a traditional infrared system as ground truth.

How well can video-based methods estimate body kinematics? In my recent paper with @giacomonovembre.bsky.social, we show that accuracy of one such method (OpenPose) varied substantially across subjects & body parts. Interestingly, this accuracy strongly depended on the movement amplitude. t.ly/4Tlnc