A new conference proceedings paper is out using neural networks to simulate motor tasks using networks trained to have hemispheric specialization. The model comparisons suggest that this strategy can take advantage of each hemisphere's strengths https://t.co/Uggf2fMSpQ
We published a new paper showing that people with Parkinson's disease produce more submovements than controls. In contrast to previous experiments, we used a tracking task so all participants would move at the same speed and for the same duration. https://t.co/Ls9sYsCEd3
PhD position: I’m looking for a PhD candidate to lead a project on how modulating variability can improve motor learning in my lab at Tel Aviv University. The position will be part of the TReND doctoral network with 11 other PhD students from around Europe https://t.co/SGjeAA27Dn
@TarkeshRSingh Thanks @TarkeshRSingh! While the hour was difficult (starting at 10:45pm Israel time!), once I got started it didn't feel so late. I got some useful feedback, and will be happy to discuss any of the ideas from the talk further.
We think these differences are likely due to the different areas of brain damage typically seen in CP (motor areas) and TBI (frontal lobe), and the time following injury and plasticity at different ages.
Our study on finger coordination in children with cerebral palsy and traumatic brain injury is out today in @FrontiersIn Human Neuroscience https://t.co/h0jbcoBdI2. Thanks to my great collaborators from the Loewenstein hospital.
We quantified finger coordination using the uncontrolled manifold (UCM) and found opposite results for children with CP and TBI. As children with CP get older, their synergy index increases (better coordination) whereas for children after TBI, the synergy index decreases with age
Thanks to Prof. Robert Sainburg from Penn State for his great recent talk in biomed@TAU motor learning hub: "It's the Wrong Hand, Bob" Why treat the good hand in Stroke Patients? https://t.co/nf9TJrxkOK on movement differences between hands and which hand to treat after stroke
Looking forward to the next zoom talk in the Biomed@TAU Motor learning hub this Monday at 1600 Israel time (=1400 UTC) from Prof. Bob Sainburg on "It’s the Wrong Hand, Bob!" Why treat the good hand in Stroke Patients?" https://t.co/VNNk21OAsW
Listen up! Registration and abstract submission deadline for our Multisensory Integration in Action workshop has been extended until November 20th! Don’t miss it! https://t.co/tjPwa8KygX
Today I finally got the phone call from our dean - I was promoted to Associate Professor! I was in the middle of teaching and had to wait an hour to call her back and make sure it was the news I was hoping to hear. Thanks to all my great colleagues, collaborators, and students.
While the intervention did cause more variance during training, it did not lead to improved performance after training. It seems that in such tasks, self-generated timing variability is more effective than prescribed variability.
Published a new paper today with @MariaKormanPhD and Assaf Amiaz in @SciReports on whether forcing people to be more or less variable when training on a motor sequence task leads to improved learning
https://t.co/5V4v4N2osz
The intervention was a series of beeps with a random rhythm - the participant needed to copy the timing. We used this intervention because previous studies have shown that the inter-movement timing causes most of the improvement in this task.
Also - Nina Ziegenbein will be presenting another piano-related study at the HAAPIE workshop at #UMAP2022 on Monitoring the Learning Progress in Piano Playing with Hidden Markov Models https://t.co/zcBMIbrJ7E
@AMoringen will be presenting on Thursday our study on automatic evaluation of piano playing at #UMAP2022 in Barcelona: how to automatically rate different features of performance for use in piano learning systems https://t.co/1V9peG0G1s @GifResearch@Tel_Aviv_Uni@unibielefeld