YoVDO

Tune in and Dropout - How Data Augmentation Can Help Us Build Better Brain Decoders

Offered By: Georgia Tech Research via YouTube

Tags

Data Augmentation Courses Artificial Intelligence Courses Machine Learning Courses Neural Networks Courses Neuroscience Courses Signal Processing Courses Neuroimaging Courses Brain-Computer Interface Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore cutting-edge techniques in brain decoding through this 55-minute lecture by Dr. Eva Dyer from Georgia Institute of Technology and Emory University. Delve into the innovative application of data augmentation methods for enhancing brain decoder performance, focusing on the "Tune in and Dropout" approach. Gain insights into how these advanced techniques can revolutionize our understanding of neural processes and improve brain-computer interfaces. Learn about the latest research in neuroscience and machine learning, and discover the potential impact of these methods on future developments in brain-machine interaction and cognitive science.

Syllabus

"Tune in and Dropout: How Data Augmentation can Help us Build Better Brain Decoders"


Taught by

Georgia Tech Research

Related Courses

Neural Networks for Machine Learning
University of Toronto via Coursera Good Brain, Bad Brain: Basics
University of Birmingham via FutureLearn Statistical Learning with R
Stanford University via edX Machine Learning 1—Supervised Learning
Brown University via Udacity Fundamentals of Neuroscience, Part 2: Neurons and Networks
Harvard University via edX