Advances in Motor Learning & Motor Control 2016

Welcome to Advances in Motor Learning & Motor Control 2016!
(Formerly, Translational & Computational Motor Control - TCMC)
1–7pm Friday, November 11, 2016
Marriott Marquis San Diego Marina, Marina Ballroom F


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. The 2016 meeting will be held at the Society for Neuroscience meeting in San Diego at the Marrioitt Marquis hotel in Marina Ballroom F, adjacent the convention center. The program will include 3 invited and 10 contributed talks selected from open submissions through a rigorous peer review process (see below).

To help cover the meeting and refreshment break (coffee) costs, the registration fees will be $30 for students or postdocs and $40 for faculty. You can register using the Registration tab above. Alternatively, you can pay on site at the conference, but the fees will be 50% higher after November 4. You can join our email list (or opt out) here.

We look forward to seeing you there!

Maurice Smith & John Krakauer
(co-chairs)


Abstracts:

Submission deadline: October 3, 2016. There are no submission fees. The acceptance rate for contributed talks is usually about 30%.

Abstract submissions consist 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 ≥ 8pt. Successful abstracts from previous years are available here. See the bottom of this page for the link to submit an abstract.

Submissions will be 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 in each session will be accepted for 22-minute oral presentations (6 minutes of which will be reserved for questions). If you are a faculty member willing to review about 5 abstracts and would like to join the program committee please send a message to tcmc.conference@gmail.com.


2016 MLMC Program outline

Friday November 11, 2016 - Marriott Marquis San Diego Marina, Marina Ballroom F
1:00 PM  Plenary Speaker: Daniel Wolpert, Cambridge Univeristy, UK. - Sensorimotor Decisions

Peer-reviewed talks

Error-dependent changes in cerebellar Purkinje cells during saccade adaptation
David Herzfeld, Yoshiko Kojima, Robijanto Soetedjo, Reza Shadmehr

Optogenetic stimulation leads to connectivity changes across sensorimotor cortex in non- human primates: implications for effective stroke rehabilitation
Azadeh Yazdan-Shahmorad, Daniel Silversmith, Philip Sabes

Hierarchical motor sequence representation in human neocortex
Atsushi Yokoi, Jörn Diedrichsen

New perspective on the impact of aging on motor adaptation
Koenraad Vandevoorde, Jean-Jacques Orban de Xivry

→ Coffee Break

3:15 PM  Plenary Speaker: Megan Carey, Champalimaud Center for the Unknown & HHMI - Cerebellar contributions to coordinated locomotion in mice

Motor planning maximizes performance under uncertainty about task goals
Aaron Wong, Adrian Haith

Hierarchical state-space representations for efficient control: theory, behavior, and neural signatures
Daniel McNamee, Daniel Wolpert, Máté Lengyel

Repetition enhances movement preparation
Firas Mawase, Adrian M. Haith, Pablo Celnik

→ Coffee Break

Computational Sensory-Motor Neuroscience Summer School, Student Talk:
A memory of errors modulates the extent of sensorimotor learning
Scott Albert, Hannah Sheahan, Lonneke Teunissen, Koenraad Vandevoorde

Neural biases in PMd and M1 during a two-target reaching task
Brian Dekleva, Konrad Kording, Lee Miller

Mental Rotation as a Behavioral and Neural Model of Explicit Aiming During Visuomotor Learning
Samuel McDougle, Jordan Taylor

Fast-adapting Bayesian prior for visual motion speed in the smooth pursuit eye movement system
Timothy Darlington, Stephen Lisberger

6:45 PM  Plenary Speaker: Nao Uchida, Harvard University - Force-Field Adaptations in Mice.

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