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Sabes, Philip - Keck Center for Integrative Neuroscience, University of California at San Francisco
Priors as adaptive tuning Adaptive priors emerge from associative learning in motor planning
Sensory transformations and the use of multiple reference frames for reach planning
Visual-Shift Adaptation Is Composed of Separable Sensory and Task-Dependent Effects
Calibration of Visually Guided Reaching Is Driven by Error-Corrective Learning and Internal Dynamics
Behavioral/Systems/Cognitive Multisensory Integration during Motor Planning
The notion of internal models has become central to the study of visually guided reaching. Armed with this theoretical
The Role of Inertial Sensitivity in Motor Planning Philip N. Sabes,1 Michael I. Jordan,1 and Daniel M. Wolpert2
From Advances in Neural Information Processing Systems NIPS] 8.
Obstacle Avoidance and a Perturbation Sensitivity Model for Motor Planning
Flexible strategies for sensory integration during motor Samuel J. Sober and Philip N. Sabes
LETTER Communicated by Emanuel Todorov Modeling Sensorimotor Learning with Linear Dynamical
Approximating Q-values with Basis Function Representations Philip Sabes
The Planning of Visually Guided Arm Movements: Feedback Perturbation and Obstacle Avoidance Studies
Behavioral/Systems/Cognitive How Each Movement Changes the Next: An Experimental
Behavioral/Systems/Cognitive Heterogeneous Representations in the Superior Parietal
Sensory integration for reaching: models of optimality in the context of behavior and the underlying neural circuits
Heterogeneous representations in the superior parietal lobule are common across reaches to visual and proprioceptive targets
Behavioral/Systems/Cognitive How Each Movement Changes the Next: An Experimental