Author: Julie Pryor

Rebecca Saxe speaks at Smithsonian magazine’s 2015 Future Is Here Festival (10:17)

In this video, Amy Bastian delivers her lecture, “Cerebellar Contributions to Moving, Sensing and Learning” at the McGovern Institute annual symposium on Monday April 27, 2015.

Theories of motor control have advanced the idea that the brain uses internal models to generate reliable motor commands and predict the sensory consequences of those commands. At this symposium, ten speakers explored the recent advances in the study of internal models in perception, cognition and action, and discussed the extent to which they reveal the common computational principles across neural circuits and behaviors.

In this video, Byron Yu of Carnegie Mellon University delivers his lecture, “Internal Models for Interpreting Neural Population Activity During Sensorimotor Control” at the McGovern Institute annual symposium on Monday April 27, 2015.

Theories of motor control have advanced the idea that the brain uses internal models to generate reliable motor commands and predict the sensory consequences of those commands. At this symposium, ten speakers explored the recent advances in the study of internal models in perception, cognition and action, and discussed the extent to which they reveal the common computational principles across neural circuits and behaviors.

In this video, Daniel Wolpert of the University of Cambridge delivers his lecture, “Internal Models for Sensorimotor Control and Decision Making” at the McGovern Institute annual symposium on Monday April 27, 2015.

Theories of motor control have advanced the idea that the brain uses internal models to generate reliable motor commands and predict the sensory consequences of those commands. At this symposium, ten speakers explored the recent advances in the study of internal models in perception, cognition and action, and discussed the extent to which they reveal the common computational principles across neural circuits and behaviors.

In this video, Jorn Diedrichsen of University College London delivers his lecture, “Recalibration or Learning De-novo?” at the McGovern Institute annual symposium on Monday April 27, 2015.

Theories of motor control have advanced the idea that the brain uses internal models to generate reliable motor commands and predict the sensory consequences of those commands. At this symposium, ten speakers explored the recent advances in the study of internal models in perception, cognition and action, and discussed the extent to which they reveal the common computational principles across neural circuits and behaviors.

In this video, Josh Tenenbaum of MIT delivers his lecture, “The Game Engine in Your Head,” at the McGovern Institute annual symposium on Monday April 27, 2015.

Theories of motor control have advanced the idea that the brain uses internal models to generate reliable motor commands and predict the sensory consequences of those commands. At this symposium, ten speakers explored the recent advances in the study of internal models in perception, cognition and action, and discussed the extent to which they reveal the common computational principles across neural circuits and behaviors.

In this video, Marc Sommer of Duke University delivers his lecture, “Neuronal Circuits for Seeing While Moving,” at the McGovern Institute annual symposium on Monday April 27, 2015.

Theories of motor control have advanced the idea that the brain uses internal models to generate reliable motor commands and predict the sensory consequences of those commands. At this symposium, ten speakers explored the recent advances in the study of internal models in perception, cognition and action, and discussed the extent to which they reveal the common computational principles across neural circuits and behaviors.

In this video, Nate Sawtell of Columbia University delivers his lecture, “Internal Model Mechanisms in Cerebellar Circuitry,” at the McGovern Institute annual symposium on Monday April 27, 2015.

Theories of motor control have advanced the idea that the brain uses internal models to generate reliable motor commands and predict the sensory consequences of those commands. At this symposium, ten speakers explored the recent advances in the study of internal models in perception, cognition and action, and discussed the extent to which they reveal the common computational principles across neural circuits and behaviors.