Neuroscience Workshop/Lecture (1 of 5) | Byron Yu | Dimensionality Reduction of Large-Scale Neural Recordings during Sensorimotor Control episode artwork

EPISODE · Oct 30, 2015 · 1H 8M

Neuroscience Workshop/Lecture (1 of 5) | Byron Yu | Dimensionality Reduction of Large-Scale Neural Recordings during Sensorimotor Control

from Center for Mind, Brain, and Culture · host Byron Yu, Biomedical Engineering and Electrical & Computer Engineering, Carnegie Mellon University

Most sensory, cognitive, and motor functions rely on the interaction among many neurons. To analyze the activity of many neurons together, many groups are now adopting advanced statistical methods, such as dimensionality reduction. In this talk, I will first describe how dimensionality reduction can be used in a closed-loop experimental setting to understand how learning is shaped by the underlying neural circuitry. Then, I will describe a novel latent variable model that extracts a subject's internal model during sensorimotor control. NEUROSCIENCE WORKSHOP: Dimensionality Reduction Friday, October 30, 2015 Saturday, October 31, 2015 If you would like to become an AFFILIATE of the Center, please let us know.Subscribe to our YouTube channel to get updates on our latest videos.Follow along with us on Instagram |  Facebook NOTE:  The views and opinions expressed by the speaker do not necessarily reflect those held by the Center for Mind, Brain, and Culture or Emory University.

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Byron Yu | Dimensionality Reduction of Large-Scale Neural Recordings during Sensorimotor Control

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Neuroscience Workshop/Lecture (1 of 5) | Byron Yu | Dimensionality Reduction of Large-Scale Neural Recordings during Sensorimotor Control

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