Cortical Learning Algorithm

The Cortical Learning Algorithm (CLA) is a computational model inspired by how the brain's neocortex processes information. It mimics the brain’s ability to recognize patterns, predict future inputs, and learn from experience. CLA works by identifying and grouping input patterns into stable representations, allowing it to adapt and respond to new data efficiently. It emphasizes the importance of temporal sequences and spatial patterns, making it useful for tasks like anomaly detection, prediction, and classification. Overall, CLA aims to replicate the brain’s natural learning mechanisms to develop intelligent, adaptive systems.