Computations underlying sensorimotor learning

Computations underlying sensorimotor learning.

The study of sensorimotor learning has a long history. With the advent of innovative techniques for studying learning at the behavioral and computational levels new insights have been gained in recent years into how the sensorimotor system acquires, retains, represents, retrieves and forgets sensorimotor tasks. In this review we highlight recent advances in the field of sensorimotor learning fr...

Learning in Games: Neural Computations underlying Strategic Learning

The past decade has witnessed remarkable growth in our understanding of the brain basis of economic decision-making. In particular, research is uncovering not only the location of brain regions where decision processes take place, but also the nature of the economically meaningful latent variables that are represented, as well as their relationship to behavior. This transition from understandin...

Neural computations underlying inverse reinforcement learning in the human brain

In inverse reinforcement learning an observer infers the reward distribution available for actions in the environment solely through observing the actions implemented by another agent. To address whether this computational process is implemented in the human brain, participants underwent fMRI while learning about slot machines yielding hidden preferred and non-preferred food outcomes with varyi...

Mental computations underlying morphosyntax acquisition

Research in theoretical linguistics has shown that human languages require abstract and highly detailed grammatical representations. However, we understand surprisingly little about the mechanisms through which these representations are acquired. What kinds of statistical relationships would learners need to compute to construct representations like those posited by linguistic theory? We create...

Sensorimotor Learning