Guy Avraham

Postdoctoral fellow @BerkeleyPsych and @UCBerkeleyNeuro - sensorimotor integration, motor learning and cognitive control of movements

[Guy Avraham @avraham_guy]

Is motor adaptation a form of associative learning?
In a new paper, now published in @eLife, we show that we can create associations between movement errors and arbitrary cues!

With @IPALab, @AssafBreska, @ivryrich and @smickdougle

https://t.co/1DlbdHdCQe

#tweeprint👇

[Gerard Derosiere @GDerosiere]

Very glad to see our Review article out! It was a pleasure to collaborate with David Thura, Adrian Haith, and Julie Duque.

Link: https://t.co/35FWg9hjak

[Pratik Mutha @pratik_mutha]

Delighted to share our new work…

[Lilach Avitan @LilachAvitan]

How do animals stay precise when their whole brain heats up or cools down? Larval zebrafish hunt accurately across a 10°C range. What enables such stability? What mechanism might support it? #zebrafish #neuroscience #temperature @STishbyTamari @ELSCbrain https://t.co/yO5BIKC4Aq

[Jonathan Sanching Tsay @tsay.bsky.social @tsay_jonathan]

New preprint with Sritej, @reziliusReza , and Roberta Klatzky now on @biorxivpreprint!

Motor adaptation—our ability to correct errors using feedback—is attenuated in a Bayes-optimal manner when goals are uncertain.

Welcome any and all feedback! https://t.co/brOS9MxRFC

[SfN Journals @SfNJournals]

#eNeuro | Interference Underlies Attenuation upon Relearning in Sensorimotor Adaptation
https://t.co/4W0IO23sKW

[Guy Avraham @avraham_guy]

In Exp 5 we show that prolonged experience with baseline feedback produces attenuated adaptation. This is strikingly similar to latent inhibition, and consistent with our other evidence suggesting that motor adaptation is a form of associative learning.

https://t.co/1DlbdHdCQe

[Guy Avraham @avraham_guy]

Happy to share that our study “Interference underlies attenuation upon relearning in sensorimotor adaptation” is now out in @SfNJournals #eNeuro!

https://t.co/Ymjj1JMHpp

@ivryrich, @ivrylab

[Guy Avraham @avraham_guy]

Many thanks to the editor and reviewers for the wonderful feedback, and especially for recognizing that “the results of experiment 5 and the link to classical conditioning are what is most exciting in this paper”. We agree...

[Simon Little @littleneuro]

Happy to share our latest study led by @TantanBrainMan and our team @UCSF out today in Nature BME! Movement Responsive AI programmed BCI-aDBS improves naturalistic motion and reduces excessive movements at rest in PD.
https://t.co/4Yixe1y3xU

[Eugene Poh @EugenePoh_Z]

🚨 New preprint alert! Attention isn’t always helpful.
We found that dividing attention can boost implicit adaptation—if timed right. A twist on the idea that distraction always impairs performance.
w @benmillermills @TimCarroll_UQ
https://t.co/3e48xkihmq #biorxiv_neursci

[Gerard Derosiere @GDerosiere]

1/5 Thrilled to share our Perspective in @NatureComms! Collaborating with @SolaimanShokur & @PTVassiliadis on this was such a rewarding experience. If you're into motor control and/or reward processing and/or neurotechnology, please take a look! Link: https://t.co/dUNheXN3UD

[Firas Mawase @FirasMawase]

How does the motor system enable dexterous finger movement, and how does it recover after a stroke? Many questions remain, but in this ANN model designed to "mimic" physiological insights from humans and NHPs, we identified novel predictions:
https://t.co/BGmp6ljnBz

[shany grossman @ShanyGrossman]

Our @TrendsNeuro review on task representational spaces in OFC/vmPFC and in deep RL models is now out! Had a great time working on it with @nir_moneta and @nico_schuck, check it out here: https://t.co/SWQ3CdUAOl

[Bart Swinnen @bart_swinnen]

Thrilled to share this study on LFP physiomarkers of anxiety in PD. Humbled and honored to have worked on this transatlantic triple-cohort project with the most incredible team @littleneuro @LuciaRicciard10 @colinwhoy @franci_morgante

[Tianhe Wang @TianHWang]

I am happy to share my new preprint with David Whitney and Yifan Fang. We reveal two novel sequential effects in reaching movements and show that motor planning adheres to the principles of efficient coding.
https://t.co/7ZehM4hAox

[Josh Cashaback @JCashaback]

Our latest paper is out! We looked at the roles and interplay of reinforcement and error feedback on exploration during reaching and gait for neurotypical individuals and those with Parkinson's disease.
https://t.co/seFQHytBPj

[Gerard Derosiere @GDerosiere]

Excited to share our latest preprint on fronto-motor circuits and their connection to subclinical apathy and effort-based decision-making! Check it out!

https://t.co/5erWdUg15l

[Carlos Velázquez @velapsy]

Happy to share that this work is finally out in collaboration with @nathanieldaw and @IPALab !
If you are interested in RL and visuomotor learning, have a look!

https://t.co/4Dh6mfRvaY

[Guy Avraham @avraham_guy]

@FirasMawase Congrats my friend! 🥳 So well deserved ❤️

[Gerard Derosiere @GDerosiere]

More on reward, motor cortex, and motor learning!

Here is our latest article on BioRxiv, exploring how extrinsic rewards impact motor plasticity during skill learning: https://t.co/9DcJFNqJ1u

A collaboration with @GoldyYadv, @PTVassiliadis, @UPHUMMEL_EPFL and @DuqueLab!