High-performance Evolutionary Algorithms for Online Neuron Control. (arXiv:2204.06765v1 [cs.NE])

Recently, optimization has become an emerging tool for neuroscientists to
study neural code. In the visual system, neurons respond to images with graded
and noisy responses. Image patterns eliciting highest responses are diagnostic
of the coding content of the neuron. To find these patterns, we have used
black-box optimizers to search a 4096d image space, leading to the evolution of
images that maximize neuronal responses. Although genetic algorithm (GA) has
been commonly used, there haven't been any systematic investigations to …

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