Computational Neuroscience
Memory consolidation is the process by which newly acquired information is transformed into a stable, long-term memory. This process involves the stabilization of memory traces after initial acquisition, making them more resistant to interference and decay. It plays a crucial role in learning and is closely linked to neural mechanisms such as long-term potentiation and long-term depression.
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