2017
DOI: 10.1101/231753
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Robust parallel decision-making in neural circuits with nonlinear inhibition

Abstract: Identifying the maximal element (max, argmax) in a set is a core computational element in inference, decision making, optimization, action selection, consensus, and foraging. We show that running sequentially through a list of N fluctuating items takes N log(N ) time to accurately find the max, prohibitively slow for large N . The power of computation in the brain is ascribed to its parallelism, yet it is theoretically unclear whether, even on an elemental task like the max operation, leaky and noisy neurons c… Show more

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