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Neural Network Resilience

Meaning

Neural Network Resilience is the intrinsic capacity of the brain’s interconnected web of neurons and synapses to resist, absorb, and recover from various forms of physiological stress, injury, or age-related decline. This measure of neurological health encompasses the ability of the networks to maintain functional integrity and adapt to challenges through mechanisms like neuroplasticity and synaptogenesis. A high degree of resilience is clinically associated with a reduced risk of cognitive impairment and a greater capacity for learning and memory throughout the lifespan. It is a critical metric for assessing long-term brain health.