What are the temporal structures for body movements and sampling the environment and how are they learned? 
(Initiative Coordinators: Javier Movellan and Emo Todorov)
 
This initiative seeks to understand how humans learn real-time sensory-motor control laws. Our interest is both the learning of specific motor sequences and the learning of mappings that coordinate perception and action in real time. Are there common principles across domains and can we formulate general mathematical frameworks for sensory motor learning that will help explain long-standing questions in the field.

Strand 3.1: How do we actively sense the dynamically changing environment and learn to use sensory feedback to control and refine behavior?

Strand 3.2: What are some of the basic temporal features of speech and language learning?
 
Strand 3.3: How do we learn the temporal dynamics of movements, gestures, speech, facial expressions, and the like? Are they optimized for the environment? How well do they generalize to new dynamics environments and objects?

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