We built an online resource for scientists studying human behavior to understand and apply new methods, concepts, and techniques from machine-learning, AI, and other computational fields. Many online data-science resources target workers in industry, programmers, …
LUCID Library
Machine Learning for Everyone by Rob Nowak
Rob Nowak explains Machine Learning, Neural Networks, Deep Learning, Linear Classifiers, Good Features, Principle Component Analysis, Dictionary Learning, Generalization, Cross Validation in this talk called “Machine Learning for Everyone”
Minds, Machines & Society Videos
Matt Botvinick Director of Neuroscience Research at DeepMind in London, UK discusses current topics in Artificial Intelligence research and how this research provides implications in understanding the human mind and improving human life. “One problem …
What is a Computational Cognitive Model?
By Rui Meng and Ayon Sen A computational cognitive model explores the essence of cognition and various cognitive functionalities through developing detailed, process-based understanding by specifying corresponding computation models. Sylvain Baillet discusses various aspects of …
Martina Rau on Learning with Visuals
Lucid Faculty, Educational Psychology Professor, Director of Learning, Representations, & Technology Lab as well as Computer Sciences Affiliate, Martina Rau is interested in educational technologies to support more effective learning with visuals. While we generally …
LUCIDtalks: Machine Learning with Ayon Sen
As part of our LUCID program, the graduate students meet weekly and discuss topics that are interesting to both the computation and behavioral graduate students. In this video Ayon provides an overview of Machine Learning in …
Rogers explains semantic impairments with neural networks
Using neural networks to understand healthy and disordered semantic cognition In this video Tim Rogers explains how artificial neural networks can help to explain puzzling patterns observed in patients with a rare form of dementia in …