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Neural Network Refinement

Meaning

Neural Network Refinement refers to the active, essential process that occurs primarily during sleep, where the brain reorganizes, strengthens, and prunes synaptic connections to optimize cognitive efficiency and long-term memory storage. This refinement involves eliminating redundant or weak connections while strengthening the most relevant ones, thereby improving the signal-to-noise ratio within cortical circuits. Clinically, this process is paramount for enhanced learning, emotional regulation, and maintaining the structural integrity of the brain’s intricate communication pathways throughout the aging process.