Nonlinear neural network model reveals how fly brains reduce odor complexity

Two RIKEN researchers have used a scheme for simplifying data to mimic how the brain of a fruit fly reduces the complexity of information about smells it perceives. This could also help enhance our understanding of how the human brain processes sensory data.

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