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Neural Network Plasticity

Molecular classification: Biological process, Computational property

Overview

Neural network plasticity, also known as neuroplasticity or brain plasticity, refers to the ability of neural networks—either biological (in the brain) or artificial (in machine learning)—to change their structure and function in response to experience, learning, environmental changes, injury, or new information. In biological systems, this involves adaptive structural and functional changes at various levels of neural organization. In artificial systems (such as deep learning models), it describes a model’s capacity to rapidly adapt its predictions when exposed to new data.

Other names: NeuroplasticityBrain plasticityNeural plasticity

Biological functions

LearningMemory formationAdaptationRecovery from neurological damage

Disease associations

StrokeNeurodegenerative diseasesBrain injury

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