Advances in Motor Learning & Motor Control 2024

Abstracts from all previous meetings are available here.


Registration is open for the 2024 Meeting! Please register here



Welcome to Advances in Motor Learning & Motor Control 2024

McCormick Place Convention Center in Chicago (Room S104)
Friday October 4, Noon-7:00pm.

This symposium provides an annual forum for presenting the best new work in motor control and motor learning, including studies of human motor behavior, imaging, motor neurophysiology, and computational modeling.

Our program typically consists of 10 talks selected from peer-reviewed submitted abstracts, and 3 invited plenary talks. Submitted abstracts were peer reviewed by our program committee and the top 10 reviewed abstracts will be presented at the meeting.

We look forward to seeing you in Chicago!

Maurice Smith, Gelsy Torres-Oviedo, Sam McDougle & Kurt Thoroughman (co-chairs)


You can join our email list (or opt out) here.



Submission instructions:

There are no submission fees. The acceptance rate for talks has historically been around 30%. The abstract submission deadline for MLMC 2024 will be August 29 (Early this year due to early date for SFN!).

Abstract submission consists of a 2-page PDF (1 page of text & a 2nd page primarily of figures and their captions). The main text should be ≥ 11pt with a line spacing of ≥ 1, and figure captions should be ≥ 9pt. Successful abstracts from previous years are available here. See the link at the bottom of this page to submit an abstract.

Submissions are competitively peer reviewed by our program committee of over 40 leading experts in motor control and motor learning, and reviewer comments will be provided. The top submissions will be accepted for 22-minute oral presentations (6 minutes of which is reserved for questions). If you are a faculty member willing to review about 5 abstracts, and would like to join the program committee for 2024, please send a message to mailto:mlmc.conference@gmail.com.




2024 Meeting Program


12:00 PM – WELCOME

Plenary Speaker: Maryam Shanechi (USC) - Dynamical modeling and decoding of behaviorally relevant neural dynamics

Network switching to restore skilled reaching behavior
Scott T. Albert, Jeremy D. Cohen, Corey Freeman, Megan Gerlach, Sheng Song, Li-Ming Hsu, Jimmie Gmaz, Genji Kawakita, Matthew G. Perich, Juan A. Gallego, John W. Krakauer, Yen-Yu Ian Shih, and Adam W. Hantman

A vector calculus for neural computation in the cerebellum
Mohammad Amin Fakharian, Alden Shoup, Paul Hage, and Reza Shadmehr

Goal-directed action preparation in humans entails a mixture of corticospinal neural computations
Corey Wadsley, Thuan Nguyen, Chris Horton, and Ian Greenhouse

1:45 PM – 2:05 PM – Coffee Break

Reduced Locomotor Savings in Older Adults Rely on Attentional Resources for Motor Memory Recall, Unlike Young Adults
Shuqi Liu, Andrea L. Rosso, Emma M. Baillargeon, Andrea M Weinstein, Gelsy Torres-Oviedo

Gait-specific factors differentially mediate the speed-accuracy tradeoff during walking in young and older adults
Isaiah J. Lachica, Nicolas Schweighofer, and James M. Finley

Differential Effects of Aging on Implicit and Explicit Sensorimotor Learning
Elizabeth Cisneros, Sheer Karny, Richard Ivry, Jonathan S. Tsay

Retention of speech audio-motor memory and the causal involvement of superior temporal gyrus
Nishant Rao and David J. Ostry

3:35 PM - 3:55 PM – Coffee Break

Plenary Speaker: Karen Adolph (NYU) - Walking: What Develops?

Retention and retrieval of de novo learned motor skills
Kahori Kita, Michael Colavito, and Adrian Haith

Visual and dynamic compositionality in motor learning
Sabyasachi Shivkumar, James N. Ingram, Máté Lengyel, and Daniel M. Wolpert

5:15 - 5:35 PM – Coffee Break

Plenary Speaker: Shreya Saxena (Yale) - Goal-Driven Frameworks for Probing the Cognitive Processes underlying Motor Control

Cost of using an algorithmic strategy for visuomotor rotation
Olivia A. Kim, Carlos A. Velázquez-Vargas, and Jordan A. Taylor

A Bayesian causal inference model of implicit motor adaptation to internally- versus externally-generated errors
Hyosub Kim, Romeo Chua, Davin Hu, and Lisa Liu



7:00 PM – END




Authors:

Reviewers:

Chair:

 

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