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Join our Memory Decoding journal club “The Songbird as a Model for the Generation and Learning of Complex Sequential Behaviors” (Fee & Scharff) w/ Ariel Zeleznikow-Johnston on Tue, Feb 17 at 3 pm PT carboncopies.org/aspirational... #memory #decoding #neuroscience #motorlearning #birdsong

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Join our Memory Decoding journal club “The Songbird as a Model for the Generation and Learning of Complex Sequential Behaviors” (Fee & Scharff) w/ Ariel Zeleznikow-Johnston on Tue, Feb 17 at 3 pm PT
carboncopies.org/aspirational...
#memory #decoding #neuroscience #motorlearning

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Fascinating new findings in Journal of Neurophysiology provide new insights into how the #CentralNervousSystem coordinates the muscles underlying motor adaptation, retention, and generalization. https://ow.ly/aEzi50XKtSi

#MuscleSynergy #MotorLearning #MotorAdaptation

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Effect of transcranial direct current stimulation over the primary motor cortex on short-term balance acquisition in healthy individuals - Journal of NeuroEngineering and Rehabilitation Background The primary motor cortex (M1) is central to motor learning processes, and an increasing number of studies have suggested its role in balance control. However, the specific role of M1 in bal...

Can stimulation over M1 enhance balance learning? ⚡🧍‍♂️
Using our #Starstim, researchers applied anodal tDCS during perturbation-based training and found larger improvements in stability + reduced alpha power and N1 latency.
jneuroengrehab.biomedcentral.com/articles/10....
#tDCS #MotorLearning

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This milestone reflects a collective effort, and I am deeply grateful to each of you.

Stay tuned for updates on our research program, upcoming recruitment opportunities, and future collaborations!

#NewPI #MotorLearning #FeedbackIntegration #Neuroscience #UniversityOfGuelph #WomenInSTEM

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Left: Schematic representation of the 3D VR setup allowing control of movements through manual control (MC) and brain–computer interface (BCI). The setup includes four infrared cameras for online tracking of hand position using reflective markers, enabling realistic 3D movements and decoder calibration for the BCI task. The monkey’s other arm was gently restrained, and gaze position was monitored using an infrared eye tracker. Right: Averaged 3D trajectories obtained from one experimental session in Monkey Y during 3D reaches performed under the BCI condition.

Left: Schematic representation of the 3D VR setup allowing control of movements through manual control (MC) and brain–computer interface (BCI). The setup includes four infrared cameras for online tracking of hand position using reflective markers, enabling realistic 3D movements and decoder calibration for the BCI task. The monkey’s other arm was gently restrained, and gaze position was monitored using an infrared eye tracker. Right: Averaged 3D trajectories obtained from one experimental session in Monkey Y during 3D reaches performed under the BCI condition.

How do parietal & premotor areas in the brain adapt to a #BrainComputerInterface? This study shows that frontal & parietal #brain areas co-adapt during BCI-based #MotorLearning, offering insights into visuomotor adaptation & informing future #BCI developments @plosbiology.org 🧪 plos.io/3VEZidV

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Left: Schematic representation of the 3D VR setup allowing control of movements through manual control (MC) and brain–computer interface (BCI). The setup includes four infrared cameras for online tracking of hand position using reflective markers, enabling realistic 3D movements and decoder calibration for the BCI task. The monkey’s other arm was gently restrained, and gaze position was monitored using an infrared eye tracker. Right: Averaged 3D trajectories obtained from one experimental session in Monkey Y during 3D reaches performed under the BCI condition.

Left: Schematic representation of the 3D VR setup allowing control of movements through manual control (MC) and brain–computer interface (BCI). The setup includes four infrared cameras for online tracking of hand position using reflective markers, enabling realistic 3D movements and decoder calibration for the BCI task. The monkey’s other arm was gently restrained, and gaze position was monitored using an infrared eye tracker. Right: Averaged 3D trajectories obtained from one experimental session in Monkey Y during 3D reaches performed under the BCI condition.

How do parietal & premotor areas in the brain adapt to a #BrainComputerInterface? This study shows that frontal & parietal #brain areas co-adapt during BCI-based #MotorLearning, offering insights into visuomotor adaptation & informing future #BCI developments @plosbiology.org 🧪 plos.io/3VEZidV

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Left: Schematic representation of the 3D VR setup allowing control of movements through manual control (MC) and brain–computer interface (BCI). The setup includes four infrared cameras for online tracking of hand position using reflective markers, enabling realistic 3D movements and decoder calibration for the BCI task. The monkey’s other arm was gently restrained, and gaze position was monitored using an infrared eye tracker. Right: Averaged 3D trajectories obtained from one experimental session in Monkey Y during 3D reaches performed under the BCI condition.

Left: Schematic representation of the 3D VR setup allowing control of movements through manual control (MC) and brain–computer interface (BCI). The setup includes four infrared cameras for online tracking of hand position using reflective markers, enabling realistic 3D movements and decoder calibration for the BCI task. The monkey’s other arm was gently restrained, and gaze position was monitored using an infrared eye tracker. Right: Averaged 3D trajectories obtained from one experimental session in Monkey Y during 3D reaches performed under the BCI condition.

How do parietal & premotor areas in the brain adapt to a #BrainComputerInterface? This study shows that frontal & parietal #brain areas co-adapt during BCI-based #MotorLearning, offering insights into visuomotor adaptation & informing future #BCI developments @plosbiology.org 🧪 plos.io/3VEZidV

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Auditory-motor adaptation and de-adaptation for speech depend more on time in the new environment than on the amount of practice - Communications Psychology Speech auditory-motor adaptation to a formant-shift perturbation and de-adaptation after the perturbation is removed both depend more on total amount of time spent in the corresponding environment than on the number of practice trials.

📣 Now published:

"Auditory-motor adaptation and de-adaptation for speech depend more on time in the new environment than on the amount of practice"

https://www.nature.com/articles/s44271-025-00304-8

#MotorLearning #Adaptation #Speech #Sensorimotor #MotorControl

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(4/8)
Cerebellar “direct” decoder units showed strong task-related modulation.
With learning, indirect cerebellar units also became task-modulated- pointing to distributed #plasticity across the circuit.
#MotorLearning #NeuralPlasticity

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🏓 Carius et al. (2025) bring fNIRS to the table—literally.
Whole-brain imaging during table tennis reveals dynamic shifts in dlPFC, S1, SMA, M1, and parietal cortex during motor adaptation.
🧠 Practice type didn’t change the brain pattern.
🔗 doi.org/10.1038/s415...
#fNIRS #MotorLearning

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Welcoming any and all feedback on my short summary of Motor Learning for the Open Encyclopedia of Cognitive Science (@oecs-bot.bsky.social)—an amazing resource edited by @mcxfrank.bsky.social. Currently under review.

#Sensorimotor #MotorLearning #Neurosky

tinyurl.com/t2c4vsrf

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Learning Rewires the Brain’s Motor Pathways A study from UC San Diego uncovers how learning new movements physically reshapes the brain's wiring, highlighting the thalamocortical pathway's role and introducing a novel analytical method to track these changes.

Learning new movements doesn't just change brain activity—it rewires the brain's circuits. Discover how UC San Diego scientists uncovered this transformation. #Neuroscience #BrainPlasticity #MotorLearning

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🚀 Breakthrough for MED13L!

New study shows motor-based therapy helps speech apraxia (CAS):
• Move + speak = better results
• Targets core challenges
• Start before age 5

#MED13L #Apraxia #SpeechTherapy #MotorLearning #RareandRemarkable #EveryStoryCounts pmc.ncbi.nlm.nih.gov/articles/PMC...

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Learning to Move, Learning to Be: How We Build Self-Agency How do we come to feel that our movements are truly our own? A new study reveals that agency arises not from imitation, but from the messy, vital process of trial and error — a finding with big implications for rehabilitation, virtual reality, and more.

How do we become the pilots of our own bodies? New research reveals the surprising key to building a sense of agency. #Neuroscience #MotorLearning #HumanExperience

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#IHN is pleased to host Dr. Sam Nemanich for our #CPBH seminar series today. His talk is titled "Neuroplasticity and Motor Learning in Children with Atypical Motor Development"

@namessamnem.bsky.social
#neuroscience #CPBHseminarseries #neuroimaging #neuroplasticity #motorlearning #motor

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Intermittent hypoxia-induced enhancements in corticospinal excitability predict gains in motor learning and metabolic efficiency - PubMed Acute intermittent hypoxia (AIH) enhances human motor function after incomplete spinal cord injury. Although the underlying mechanisms in humans are unknown, emerging evidence indicates that AIH facil...

#Newpub in Sci Rep. by @cuphysmed.bsky.social faculty Drs. @drandrewcsmith.bsky.social, Stephanie Ryder, George Marzloff & team on Intermittent hypoxia-induced enhancements in #corticospinal excitability predict gains in #motorlearning and #metabolicefficiency. pubmed.ncbi.nlm.nih.gov/39994358/

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A Self-Adaptive Serious Game to Improve Motor Learning Among Older Adults in Immersive Virtual Reality: Short-Term Longitudinal Pre-Post Study on Retention and Transfer Background: Despite their potential, the use of serious games within immersive virtual reality (iVR) for enhancing motor skills in older adults remains relatively unexplored. In this study, we developed a self-adaptive serious game in iVR called…

New in JMIR Aging: A Self-Adaptive Serious Game to Improve Motor Learning Among Older Adults in Immersive Virtual Reality: Short-Term Longitudinal Pre-Post Study on Retention and Transfer #SeriousGames #VirtualReality #MotorLearning #OlderAdults #ImmersiveTech

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How can we train skills effectively? 🧠

That was the topic when I joined Olympiatoppen’s podcast yesterday, where I discussed this with Caper Ruud’s technical coach, Øivind Sørvald. #tennis #sport #motorlearning #skillearning

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n today’s blog, PESS staff member @kearneype.bsky.social discusses a recent methodological systematic review examining best practice within research on a core topic in #MotorLearning – focus of attention.

Explore more ⬇️

lnkd.in/eq-7gRH4

#ULResearch #ResearchImpact #StayCurious #PESSUL #Ireland

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Am I wrong?

#motorlearning #decisionmaking #motorcontrol #neuroscience

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Figure 8... KB figure 8 is a fantastic exercise to promote lower body grounding, strength and rotational/shear GRF. While at the same time core strength/control and transverse plane rotation especially arm swing.

#Golf #GolfSwing #BioMechanics #FunctionalMovement
#ExerciseScience #MotorLearning

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Towel Swing... One of my favorite KB swing variations. Promotes stronger lower body and core contribution, at the same time teaches timing and a feel for explosive pulse.

#Golf #GolfSwing #Biomechanics #ExerciseScience #FunctionalTraining #MotorLearning

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Rotation vs. Bending... Working with a golfer who has the tendency to tip or laterally bending in the frontal plane rather than rotate in the transverse plane relative to a forward flexed trunk orientation.

#Golf #GolfSwing #Biomechanics #ExerciseScience #FunctionalTraining #MotorLearning

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Giving this a go, would like to connect with people interested in #ageing #motorlearning #spinalcordinjury #physicalactivity

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Reinforcement learning enhances training and performance in skilled alpine skiers compared to traditional coaching instruction Skilled performers need skillful and adaptive movement strategies to solve tasks effectively. Typically, performers learn these strategies with instruction-based teaching methods where coaches offer performers a correct solution. Inspired by recent evidence from decision neuroscience, we asked whether skilled performers learn strategy choices better with an evaluation-based training strategy (reinforcement learning). To address this question, we conducted a three-day learning experiment with skilled alpine ski racers (n=98) designed to improve their performance on flat slopes on slaloms with four strategies at their disposal to achieve this goal. We compared performance and strategy choices of three groups: a reinforcement learning group, that only received feedback about their race times after every run, a supervised (free choice) learning group, that received strategy instructions from their coach, and a supervised (target skill) learning group, being coached to use the theoretically optimal strategy for skiing well on flats. We found that despite making similar strategy choices, the skiers in the reinforcement learning group, showed greater improvements in their race times during the training sessions than their counterparts in the supervised (free choice) learning group and outperformed them during a subsequent retention test. Surprisingly, the skiers in the reinforcement learning group even showed descriptively (but not significantly) better performance than those in the supervised (target skill) learning group. Our findings show that reinforcement learning can be an effective training strategy for improving strategy choices and performance among skilled performers, even among the best ones. ### Competing Interest Statement The authors have declared no competing interest.

New preprint out: www.biorxiv.org/content/10.1.... We tested whether
skilled and elite slalom racers benefit from reinforcement learning over instruction-based coaching. Our evidence supports reinforcement learning as an effective teaching
method #skilllearning #motorlearning #alpineskiing (1/n)

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I’m looking for a journal to submit my work on reinforcement learning versus supervised learning in elite alpine ski racing. It is a large learning experiment involving 98 skilled skiers.The paper is a bit long ~6000-7000 words. It is important with open access #motorlearning #sportexpertise

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