A linear Fourier model of the dipteran compound eye predicts that zebra stripes generate spurious spatial frequencies at 1-5 m distances that produce misleading motion signals for biting flies.
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Recurrent networks built from tunable expressive neurons reveal scaling laws with an optimal parameter split that shifts toward higher per-neuron complexity at larger scales.
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Biting fly vision and zebra stripes
A linear Fourier model of the dipteran compound eye predicts that zebra stripes generate spurious spatial frequencies at 1-5 m distances that produce misleading motion signals for biting flies.
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Scaling Laws and Tradeoffs in Recurrent Networks of Expressive Neurons
Recurrent networks built from tunable expressive neurons reveal scaling laws with an optimal parameter split that shifts toward higher per-neuron complexity at larger scales.