2014年8月28日 Nature
In a study of the extent to which new patterns of neural activity can be generated through learning, Aaron Batista and colleagues examine neuronal network reorganization in Rhesus macaques learning to control a computer cursor using different patterns of activity in motor cortex. Some new neural activity patterns were more easily generated than others — corresponding to more easily learned tasks — and these could be predicted mathematically from the network topology at the beginning of the experiment. The authors speculate that the results provide a basis for a neural explanation for the balance between adaptability and persistence in action and thought. Cover: Jasiek Krzysztofiak/Nature
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