Attention and Learning
Attention processes play a crucial role in how we select and prioritize information, allowing us to function effectively in complex environments. By understanding how we learn what to focus on, researchers aim to reverse engineer the computational algorithms that govern our attention and decision-making. This exploration reveals that attention is not merely a limitation but an optimal strategy for learning and problem-solving.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Learning State Representations with Yael Niv - #92
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