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Depth-2 Threshold Circuits

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Abstract

Circuits with linear threshold functions as primitives are a natural model for computation in the brain. Small threshold circuits of depth two cannot compute most functions, but how do we prove such a statement? And how do we lay our hands on explicit functions that they cannot compute? This article gives an overview of the landscape.

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Correspondence to Meena Mahajan.

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Meena Mahajan works in the theoretical computer science group at the Institute of Mathematical Sciences (IMSc, HBNI) in Chennai. Her research is in the area of computational complexity. She is particularly interested in questions concerning circuit complexity — how much circuitry is needed to compute a function, and in proof systems — how hard is it to prove that a false statement is indeed false.

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Mahajan, M. Depth-2 Threshold Circuits. Reson 24, 371–380 (2019). https://doi.org/10.1007/s12045-019-0786-4

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  • DOI: https://doi.org/10.1007/s12045-019-0786-4

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