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ARE SINGLE-CELL DATA SUFFICIENT FOR TESTING NEURAL NETWORK MODELS
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DOI：10.1017/S0140525X00040176.png)
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摘要
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Persistent activity can be the product of mechanisms other than attractor reverberations. The single-unit data presented by Amit cannot discriminate between the different mechanisms. In fact, single-unit data dot not appear to be adequate for testing neural network models.
Keyword:
PRIMATE TEMPORAL CORTEX
LONG-TERM-MEMORY
NEURONAL CORRELATE
AUDITORY-CORTEX
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13.7
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1.6W
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