Volume 9, 2010




Selection and control of limb posture for stability
David Franklin, Luc Selen, Sae Franklin and Daniel Wolpert


Dynamic intelligence through online optimization
Emanuel Todorov, Yuval Tassa, Paul Kulchenko and Tom Erez


Visuo‐motor learning is guided by the Riemannian structure of the observed kinematics
Zachary Danziger and Ferdinando Mussa‐Ivaldi


The incremental adaptive effect of movement observation differs from that of action
Paul Wanda and Kurt Thoroughman


Rethinking motor adaptation and savings: Error-based learning, use-dependent plasticity and operant conditioning
Vincent Huang, Pietro Mazzoni and John Krakauer


The Relationship Between the Temporal Structure of Motor Output Variability and Motor Learning Ability
Howard Wu, Gary Sing, Logan Clark, Luis Nicolas Gonzalez Castro, Maurice Smith


Visuomotor perturbations and uncertainty about them: Generalization patterns suggest distinct representations
Hugo Fernandes, Ian Stevenson and Konrad Kording


Interval timing and its correlates in sensorimotor cortex
Mehrdad Jazayeri and Michael Shadlen


Infinite-horizon optimal control framework for goal-directed movements
Dongsung Huh, Emanuel Todorov and Terrence Sejnowski


Movement duration is selected to maximize the expected rate of reward
Adrian Haith and Reza Shadmehr


Feasibility before optimality: What complete solution sets tell us about muscle redundancy and synergies
Kutch, Valero-Cuevas


Combined intrinsic and extrinsic representation for visuomotor rotation learning
Brayanov, Smith


Movement Duration as an Emergent Property of Reward Directed Motor Control
Rigoux, Sigaud, Terekhov, Guigon


Intermittent visual feedback can boost visuomotor learning of rhythmic movements
Ikegami, Hirashima, Osu, Nozaki


Certainty of the kinematic plan influences arm stiffness during reaching
Yousif, Diedrichsen


Learning to draw after observing a teacher: iCub’s scribbles and shapes
Mohan, Zenzeri, Metta, Morasso, Sandini


Inferring Visuomotor Priors for Sensorimotor Learning
Turnham, Braun, Wolpert


Investigating the Role of Cocontraction and Movement Energetics in Voluntary Arm
Tsianos, Raphael, Loeb


Prior and Likelihood uncertainty are differentially represented in the human brain
Vilares, Fernandes, Kording


Skill learning as training-dependent changes in speed-accuracy trade-off functions
Shmuelof, Zarhan, Krakauer, Mazonni

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Volume 8, 2009

 

 

Environmental memory in parietal cortex: A possible substrate for guidance of movement in the absence of visual stimulation
Sara Steenrod and Michael Goldberg

Rewiring neural connectivity by micro-stimulation
James Rebesco, Sara Solla and Lee Miller


Forward models and state estimation in compensatory eye movements
Maarten Frens, Beerend Winkelman and Opher Donchin

Predicting human motor performance using stochastic optimal control
Julian Tramper, Bert Kappen, and Stan Gielen

Optimal control framework successfully explains changes in neural modulations during experiments with Brain Machine Interfaces
Miriam Zacksenhouse, Koren Beiser, Joseph O'Doherty, Mikhail Lebedev and Miguel Nicolelis

Adaptive responses in the human motor system interpret arbitrary force perturbations as state-dependent dynamics
Gary Sing, Simon Orozco and Maurice Smith

When two systems work as one: Minimizing signal-dependent noise through Nash-Equilibria
Jörn Diedrichsen, Niall Lally and Ian O’Sullivan

A novel mechanism for the spacing effect: Competitive inhibition between adaptive processes can explain the increase in motor skill retention associated with prolonged inter-trial spacing
Gary Sing, Bijan Najafi, Adenike Adewuyi and Maurice Smith

Beside the point: Motor adaptation in task-irrelevant conditions
S. Schaefer, I. Shelly and Kurt Thoroughman

The Cost of Strategic Control: Attenuation of Adaptation
Jordan Taylor, Azeen Ghorayshi and Richard Ivry

Sensory weighting of force and position feedback in human motor control tasks
Jasper Schuurmans, Winfred Mugge, Alfred Schouten and Frans van der Helm

Computational models of goal equivalent control in human treadmill walking
Jonathan Dingwell, Joby John and Joseph Cusumano

The disparate roles of reward and sensory prediction errors in learning motor control
Jun Izawa and Reza Shadmehr

Bayesian integration and non-linear feedback control in a full-body motor task
Ian Stevenson, Hugo Fernandes, Iris Vilares, Kunlin Wei and Konrad Körding


Adaptive force control
Sandro Mussa-Ivaldi, M. Casadio and A. Pressman

The nervous system maps high-dimension sensory inflow to low-dimension motor outputs during postural responses
Lucas McKay and Lena Ting

Hierarchical control of bimanual movements revealed by arm dominance challenges the muscle homology principle
Natalia Dounskaia, Keith Nogueira and Elizabeth Drummon

Equilibrium point hypothesis revisited: Advances in the computational framework of Passive Motion Paradigm
Vishwanathan Mohan, Pietro Morasso, Giorgio Metta and Jacopo Zenzeri

An interpretive model of hand-eye coordination
Tom Erez

Spinal-like regulator for controlling wrist movements
Giby Raphael, George Tsianos and Gerald Loeb

 

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Single-trial analysis of neural population activity during motor preparation
B. Yu, J. Cunningham, M. Churchland, G. Santhanam, S. Ryu, M. Sahani and K. Shenoy

The activity of primary motor cortex is shaped by the properties of the musculoskeletal system

T. Lillicrap and S. Scott

Parallels between sensory and motor information processing
E. Todorov

Humans optimally adapt afferent feedback to stabilize unstable loads

A. Schouten, W. Mugge, E. de Vlugt and F. van der Helm

Interactions between sensory and motor components of adaptation predicted by a Bayesian model

A. Haith, C. Jackson, C. Miall and S. Vijayakumar

Uncertainty in state estimate and feedback determines the rate of motor adaptation

K. Wei and K. Kording

The cerebellum and the adaptive control of saccades via internal feedback

M. Xu, H. Chen-Harris, D. Zee and R. Shadmehr

Likelihood calculus: A new mathematical approach to understanding the dynamics of Bayesian controllers with quantized internal representations
T. Sanger

On the feedback control of coordinated eye-head gaze shifts

D. Guitton and H. Galiana

Learning to learn: Environmental consistency modulates motor adaptation rates
N. Castro, M. Hemphill and M. Smith

Optimization strategies in human reinforcement learning

H. Hoffmann, E. Theodorou and S. Schaal

Exploration and exploitation in reward based visuomotor learning
J. Izawa and R. Shadmehr

More bits for behavior: From the movement of C. elegans towards the principles of animal action
G. Stephens and W. Bialek

Adaptation to a sub-optimal desired trajectory

M. Mistry, E. Theodorou, G. Law, T. Yoshioka, S. Schaal and M. Kawato

Optimization analysis of human stance control predicts the observed non-linear stimulus-response behavior of a system dominated by sensory noise

H. van der Kooij and R. Peterka

Understanding the role of the spinal cord in voluntary movement by discrete circuit modeling: bottom-up strategy
G. Raphael and G. Loeb

A Bayesian explanation for curved movement paths

J. Smeets, H. Slijper, J. Richter, E. Over and M. Frens

Optimal feedback control of rhythmic movements: The bouncing ball revisited
R. Ronsse, K. Wei and D. Sternad

A control-theoretic investigation of dynamic spatial behavior
B. Mettler and Z. Kong

Gain fields for the distance between the ocular fixation point and the arm
S. Chang and L. Snyder

A new view of how the superior colliculus supports gaze stability

Z. Hafed and R. Krauzlis

The primate oculomotor system plans saccades to objects not points
M. Phillips and M. Goldberg

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Volume 6, 2007

Adaptive optimal control approaches to sensorimotor learning

D. Braun, D. Wolpert, A. Aertsen, S. Rotter, R. Pas, E. Vaadia and C. Mehring

Optimal task-dependent changes of bimanual feedback control and adaptation

J. Diedrichsen and N. Dowling

It takes time for beliefs to converge on reality: An example from the motor system

J. Izawa and R. Shadmehr

Evidence accumulation and stopping bounds: Lessons from a probabilistic categorization task 

T. Yang and M. Shadlen

Different dynamics of eye-hand coordination in depth and direction reflect differences in predictive control

S. Gielen and J. Welten

Human movement generation based on convergent flow fields: a computational model and a behavioral experiment
H. Hoffmann and S. Schaal

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

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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

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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

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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

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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

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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

 

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