The cortical learning algorithm is a biologically inspired learning mechanism that mimics the way the human brain processes information, particularly in hierarchical temporal memory systems. This algorithm focuses on learning patterns and sequences over time, enabling systems to make predictions based on past experiences. Its design is rooted in neuroscience, leveraging concepts like sparse coding and temporal sequences to improve machine learning efficiency and adaptability.
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