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Lessons From Deep Neural Networks for Studying the Coding Principles of Biological Neural Networks
2021
Frontiers in Systems Neuroscience
One of the central goals in systems neuroscience is to understand how information is encoded in the brain, and the standard approach is to identify the relation between a stimulus and a neural response. However, the feature of a stimulus is typically defined by the researcher's hypothesis, which may cause biases in the research conclusion. To demonstrate potential biases, we simulate four likely scenarios using deep neural networks trained on the image classification dataset CIFAR-10 and
doi:10.3389/fnsys.2020.615129
pmid:33519390
pmcid:PMC7843526
fatcat:4rvgny3irnhuxn6qha3t66e5h4