The researchers trained mice to identify and remember a series of odors over two weeks and monitored neural activity using a specially designed microscope that can image up to 73,000 neurons simultaneously.
Initially, memory representations in the secondary motor cortex were unstable. However, with repeated training, these models became more stable and refined. Peyman Golshani, the author of the study, likened the process to a melody that becomes more consistent and harmonious with practice. This “crystallization of memory patterns” explains why repeated practice leads to more “automatic and accurate” performance.
These results not only expand our understanding of learning and memory, but also offer potential ideas for solving problems associated with memory disorders.
Source: Ferra
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