Implementing Engrams from a Machine Learning Perspective: Matching for Prediction

Explore the fascinating intersection of neuroscience and machine learning in this hour-long lecture on implementing engrams from a machine learning perspective. Delve into the concept of matching for prediction as presented by experts from the Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC). Gain insights into how engrams, the theoretical units of cognitive information, can be approached and implemented using machine learning techniques. Discover the potential applications of this research in advancing our understanding of memory formation, cognitive processes, and predictive modeling in both biological and artificial systems.

Implementing engrams from a machine learning perspective: matching for prediction