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Matthew Cook (born February 7, 1970) is a mathematician and computer scientist who is best known for having proved Stephen Wolfram's conjecture that the Rule 110 cellular automaton is Turing-complete.
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Cited by. Year. Unsupervised learning of digit recognition using spike-timing-dependent plasticity. PU Diehl, M Cook. Frontiers in computational neuroscience 9, 99. , 2015. 1416. 2015. Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing.
Matthew Cook Renate Krause (PhD) Vanessa Leite (PhD) Xander Nedergaard (PhD) Ethan Palmiere (PhD) Alumni. Thanuja Ambegoda (PhD) Roman Bauer (MSc) Martin Boerlin (MSc) Jakob Buhmann (PhD) Julia Buhmann (PhD) Miguel Chau (MsC) Peter Diehl (PhD) Niels Eckstein (PhD) Jan Funke (PhD) Dennis Göhlsdorf (PhD) Arno Granier (MsC) Florian Jug (PhD) Sepp ...
Matthew Cook (born February 7, 1970) is a mathematician and computer scientist who proved Stephen Wolfram's conjecture that the Rule 110 cellular… Expand. Wikipedia. Create Alert. Papers overview. Semantic Scholar uses AI to extract papers important to this topic. Review. 2020. Does Fiscal Monitoring Make Better Governments?
Feb 15, 2018 · Matthew Cook. Department of Computation and Neural Systems, Caltech, Mail Stop 136-93, Pasadena, California 91125, USA. The purpose of this paper is to prove a conjecture made by Stephen Wolfram in 1985, that an elementary one dimensional cellular automaton known as “Rule 110” is capable of universal computation.
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