MLMC - Proceedings 2002

The evolution of force profiles in a motor adaptation task reveals motor primitives with spindle-like properties that predict the difficulty of learning different types of force-sfield perturbation

G. Sing, W. Joiner, T. Nanayakkara, J. Brayanov and M. Smith

Divided attention during motor memory formation affects specifically fast adaptive processes and alters mid-movement feedback control

J. Taylor and K. Thoroughman

Causal inference in motor adaptation

K. Wei and K. Kording

Anticipatory postural adjustments during the size-weight illusion reveal simultaneous Bayesian and 'anti'-Bayesian weight estimation

J. Brayanov and M. Smith

Volume 5, 2006

Primitives for optimal control

E. Todorov

Changing the noise in dynamics of reaching predictably changes control of reaching

J. Izawa, T. Rane, O. Donchin and Reza Shadmehr

The nervous system independently controls motion and force

V. Chib, M. Krutky, K. Lynch and F. Mussa-Ivaldi

Muscle synergies during locomotion define a flexible substrate for neural control

N. Krouchev, J. Kalaska and T. Drew

Adaptation induces curvature in saccades, revealing multiple time-scales of plasticity

H. Chen, W. Joiner, R. Shadmehr and D. Zee

Patterns of anterograde interference in reaching arm movements explained by a multi-rate learning model

G. Sing and M. Smith

A cerebellar model for predictive motor control: From reflex to preflex

J. McKinstry, G. Edelman and J. Krichmar

Long-term retention in the adaptive control of reaching explained by a model of short-term learning

M. Ifediba and M. Smith

Modeling neural representations of sensory feedback and changes in motor adaptive strategy

K. Thoroughman and M. Fine

Learning with unstable neural representations: experiment and theory

U. Rokni, A. Richardson, E. Bizzi and S. Seung

Narrow directional tuning explains both post-adaptation and trial-to-trial generalization patterns for visuomotor rotation learning

H. Tanaka, T. Sejnowski and J. Krakauer

Physically-based model for decoding motor-cortical activity

G. Shakhnarovich, S. Kim and M. Black

Volume 4, 2005

Bridging the gap between optimal feedback control and sensorimotor neurophysiology

E. Todorov and B. Huh

Optimal control predicts task-dependent feedback control of human hand movements

M. Chhabra and D. Knill

Optimal sensorimotor transformations for balance

D. Lockhart and L. Ting

The coordination of complex movements

J. Diedrichsen and R. Shadmehr

A sensory source for motor variation? An analysis of noise in pursuit eye movements

L. Osborne, S. Lisberger and W. Bialek

Movement drift is the result of optimal sensory combination

J. Smeets, J. van den Dobbelsteen, R. van Beers and E. Brenner

Neither hand nor cursor motions converge to linear paths under some visuomotor rotations: an adaptation study and model

A. Fishbach and F. Mussa-Ivaldi

Motor learning as a weighted average of past experience

A. Mattar and D. Ostry

Motor learning during the delay period between movements

V. Huang and R. Shadmehr

Distinct movement features are represented by distinct neurons in the motor cortex

E. Stark, R. Drori, I. Asher and M. Abeles

Trajectory formation before movement in the posterior parietal cortex

E. Torres, R. Quiroga and R. Andersen

A theory of cerebellum-dependent motor learning and timing based on rebound conductances in deep cerebellar nuclei neurons

D. Wetmore, E. Mukamel and M. Schnitzer

Modular computations in a hierarchical motor network

J. Jing and K. Weiss

Volume 3, 2004

Hierarchical optimal feedback control of redundant systems

E. Todorov and W. Li

Time-optimal control of fast point-to-point movements

M. Shapiro and R. Kenyon

Matching of sensing and motor volumes in active sensory systems

M. MacIver, M. Nelson and J. Burdick

The nervous system appears to minimize a weighted sum of kinematic error, force, and change in force when adapting to viscous environments during reaching and stepping

D. Reinkensmeyer, J. Liu, J. Emken and J. Bobrow

Modulation of the rate of error-dependent learning by the statistical properties of the task

M. Smith and R. Shadmehr

Experience-dependent adaptation of the spatial generalization of human motor adaptation

K. Thoroughman and J. Taylor

A vector ARX model of motor adaptation during reaching

R. Scheidt

Stimulation of the posterior parietal cortex interferes with arm trajectory adjustments during the learning of new dynamics

V. Della-Maggiore, N. Malfait, D. Ostry and T. Paus

Quick manual following response induced by large-field visual motion: What drives the response and how is it driven?

H. Gomi, N. Saijo, N. Abekawa, I. Murakami and S. Nishida

Simulation of 3D neuro-musculo-skeletal systems with contact

D. Pai, S. Sueda and Q. Wei

Role of movement preparation in movement generation

M. Churchland, B. Yu, S. Ryu, G. Santhanam, A. Afshar and K. Shenoy

On-line spatiotemporal learning and adaptation in the posterior parietal region during obstacle avoidance: Theory, behavior, and neurophysiology

E. Torres, C. Buneo and R. Andersen

Synchronized sensorimotor beta oscillations in motor maintenance behavior

S. Bressler

Recurrent cerebellar loops simplify adaptive control of redundant and non-linear motor systems

J. Porrill and P. Dean

Volume 2, 2003

Exploiting sensorimotor adaptation

J. Patton, F. Mussa-Ivaldi, Y. Wei, M. Phillips and M. Stoykov

Stabilization of cerebrocerebellar feedback control without internal dynamic models

S. Massaquoi

Can training change the desired trajectory?

O. Donchin and R. Shadmehr

Optimal trajectory of human arm reaching movements in dynamical environments

K. Ohta, R. Laboissiere and M. Svinin

Constant effort computation as a determinant of motor behavior

E. Guigon, P. Baraduc and M. Desmurget

Stochastic optimal feedback control of nonlinear biomechanical systems

E. Todorov

Computational understanding of the neural circuit for the central pattern generator for locomotion and its control in lamprey

Z. Li, A. Lewis and S. Scarpetta

The boundary of instability as a powerful experimental paradigm for understanding complex dynamical sensorimotor behavior: dexterous manipulation as an example

M. Venkadesan, F. Valero-Cuevas and J. Guckenheimer

Models of Purkinje cell discharge during circular manual tracking in monkey

A. Roitman, S. Pasalar and T. Ebner

Is oppositely directed motor learning implemented with inverse plasticity mechanisms?

E. Boyden, R. Tsien, T. Chatila and J. Raymond

A computational model of reach decisions in the primate cerebral cortex

P. Cisek

Uncertainty reduction at the neuronal ensemble but not in single neurons during motor skill learning

D. Cohen and M. Nicolelis

Volume 1, 2002

Think before you act, but prepare an assortment of partial actions before you think

P. Cisek

A computational neural model of laminar frontal cortex and basal ganglia interactions in movement control

J. Brown, D. Bullock and S. Grossberg

Preparatory activity in motor cortex reflects consolidation of specific internal models

R. Paz, T. Boraud, C. Natan, H. Bergman and E. Vaadia

Modeling neural control of hindlimb movement during cat locomotion

D. Ivashko, B. Prilutsky, J. Chapin and I. Rybak

Studying octopus motor control using a computerized dynamic model

Y. Yekutieli, R. Sagiv, B. Hochner and T. Flash

Time-varying muscle synergies as low-level control modules

A. D’Avella and E. Bizzi

Uncovering representation from trial-to-trial changes in performance during adaptation

O. Donchin and R. Shadmehr

A computational model of adaptation to novel stable and unstable dynamics

D. Franklin, R. Osu, E. Burdet, M. Kawato and T. Milner

Interpreting motor adaptation results within the framework of optimal feedback control

E. Todorov

Minimization of jerk, not torque change or end point error, mimics human movement in dynamically perturbing environments

K. Thoroughman and W. Wang

A model of dimensionality reduction in goal-oriented motions

E. Torres

Patterns in stroke patients’ submovements support adaptive forward/inverse learning model

B. Rohrer, H. Krebs, B. Volpe, W. Frontera, J. Stein and N. Hogan

This symposium is held as a satellite to the annual Society for Neuroscience meeting. All submissions are peer-reviewed and those with the highest scores are included in the program. The acceptance rate is below 50%.

Sponsored by the United States National Institutes of Health.