A critique of pure learning and what artificial neural networks can learn from animal brains
Recent gains in artificial neural networks rely heavily on large amounts of training data. Here, the author suggests that for AI to learn from animal brains, it is important to consider that animal behaviour results from brain connectivity specified in the genome through evolution, and not due to un...
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| Format: | Article |
| Language: | English |
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Nature Publishing Group
2019-08-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-019-11786-6 |