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Leveraging conscious and nonconscious learning for efficient AI

Imagine building an AI that not only learns like the human brain, but does it more efficiently! Scientists have taken a deep dive into the mysterious world of learning and consciousness to uncover a novel learning model called the “Recommendation Architecture (RA) Model.” This groundbreaking model combines consequence feedback and non-consequence feedback in a dual-learning […]

Published on March 23, 2023

Exploring Brain Dynamics: Neural-Mass Models and Dynamical Understanding

The brain is a complex network, like a bustling city with countless streets and intersections. Scientists have made great progress in mapping out the brain’s neural architecture, but understanding how its microscale physiology affects its macroscale dynamics remains a challenge. To bridge this gap, researchers have developed a mathematical model called a neural-mass model to […]

Published on April 25, 2022