Explore mathematical models of human memory in this seminar presented by C.V. Starr Professor Michail Tsodyks from the School of Natural Sciences at the Institute for Advanced Study. Delve into topics such as simplification, old results, model visualization, recall capacity, random symmetric matrices, recall experiments, recall cycles, and the effects of reminders on recall. Examine power loss in memory, multiple dimensions of memory models, and recognition tests. Investigate partial ordered sets and their relevance to memory modeling. Gain insights into the complex workings of human memory through mathematical frameworks and experimental findings presented in this comprehensive lecture.
Overview
Syllabus
Intro
Simplification
Old results
Model
Visualization
Recall capacity
Random symmetric matrix
Recall experiments
Recall cycles
Recall after reminder
Power loss
Multiple dimensions
Recognition tests
Results
Partial ordered sets
Taught by
Institute for Advanced Study
