Understanding the Neural Computations of Arbitrary Visuomotor Learning through fMRI and Associative Learning Theory.

@article{citeulike:1977969, abstract = {Associative theory postulates that learning the consequences of our actions in a given context is represented in the brain as stimulus-response-outcome associations that evolve according to prediction-error signals (the discrepancy between the observed and predicted outcome). We tested the theory on brain functional magnetic resonance imaging data acquired from human participants learning arbitrary visuomotor associations. We developed a novel task that systematically manipulated learning and induced highly reproducible performances. This granted the validation of the model-based results and an in-depth analysis of the brain signals in representative single trials. Consistent with the Rescorla-Wagner model, prediction-error signals are computed in the human brain and selectively engage the ventral striatum. In addition, we found evidence of computations not formally predicted by the Rescorla-Wagner model. The dorsal fronto-parietal network, the dorsal striatum, and the ventrolateral prefrontal cortex are activated both on the incorrect and first correct trials and may reflect the processing of relevant visuomotor mappings during the early phases of learning. The left dorsolateral prefrontal cortex is selectively activated on the first correct outcome. The results provide quantitative evidence of the neural computations mediating arbitrary visuomotor learning and suggest new directions for future computational models.}, address = {CNRS UMR 6193, Mediterranean Institute for Cognitive Neuroscience, 31 chemin Joseph Aiguier, 13402 Marseille, France.}, author = {Brovelli, Andrea and Laksiri, Nadia and Nazarian, Bruno and Meunier, Martine and Boussaoud, Driss }, citeulike-article-id = {1977969}, doi = {http://dx.doi.org/10.1093/cercor/bhm198}, issn = {1047-3211}, journal = {Cereb Cortex}, keywords = {brian, nichola, shiva}, month = {November}, posted-at = {2007-11-25 04:51:42}, priority = {2}, title = {Understanding the Neural Computations of Arbitrary Visuomotor Learning through fMRI and Associative Learning Theory.}, url = {http://dx.doi.org/10.1093/cercor/bhm198}, year = {2007} }

TY - JOUR ID - citeulike:1977969 L3 - citeulike-article-id:1977969 TI - Understanding the Neural Computations of Arbitrary Visuomotor Learning through fMRI and Associative Learning Theory. JF - Cereb Cortex AD - CNRS UMR 6193, Mediterranean Institute for Cognitive Neuroscience, 31 chemin Joseph Aiguier, 13402 Marseille, France. SN - 1047-3211 N2 - Associative theory postulates that learning the consequences of our actions in a given context is represented in the brain as stimulus-response-outcome associations that evolve according to prediction-error signals (the discrepancy between the observed and predicted outcome). We tested the theory on brain functional magnetic resonance imaging data acquired from human participants learning arbitrary visuomotor associations. We developed a novel task that systematically manipulated learning and induced highly reproducible performances. This granted the validation of the model-based results and an in-depth analysis of the brain signals in representative single trials. Consistent with the Rescorla-Wagner model, prediction-error signals are computed in the human brain and selectively engage the ventral striatum. In addition, we found evidence of computations not formally predicted by the Rescorla-Wagner model. The dorsal fronto-parietal network, the dorsal striatum, and the ventrolateral prefrontal cortex are activated both on the incorrect and first correct trials and may reflect the processing of relevant visuomotor mappings during the early phases of learning. The left dorsolateral prefrontal cortex is selectively activated on the first correct outcome. The results provide quantitative evidence of the neural computations mediating arbitrary visuomotor learning and suggest new directions for future computational models. KW - brian KW - nichola KW - shiva AU - Brovelli, Andrea AU - Laksiri, Nadia AU - Nazarian, Bruno AU - Meunier, Martine AU - Boussaoud, Driss PY - 2007/11/21/ UR - http://dx.doi.org/10.1093/cercor/bhm198 ER -