| Document Date: 2005-01-11 01:52:42
Open Document File Size: 401,13 KBShare Result on Facebook
City Martin / Buchler / / Company Neural Networks / MIT Press / RNase / Kauffman SA / / Country United States / / / Facility Dij Aj complex / Princeton University / California Institute of Technology / DA complex / / IndustryTerm genetic regulatory networks / chemical input / chemical equations / chemical reactions / transcriptional networks / uniform physical signal carrier / energy consumption / biochemical computing / neuron network / network training algorithms / maintenance energy costs / synthetic genetic regulatory networks / biochemical network / incomplete products / real biochemical computing networks / biological networks / equivalent biochemical network / biological systems / in vitro biochemical network / in vitro transcriptional networks / arbitrary transcriptional network / synthetic biomolecular systems / computing / winner-take-all network / feed-forward network / transcriptional network / energy / biochemical networks / / Organization California Institute of Technology / ONR / National Science Foundation / MIT / Princeton University / ON DA / / Person Casimir Wierzynski / David Zhang / Nat / Paul Rothemund / Michael Elowitz / Dan Stick / / Position Platzman PM / / ProvinceOrState Ontario / / PublishedMedium Nucleic Acids Research / / Technology CMOS technology / Thermodynamics / Neural network / artificial intelligence / hybridization / training algorithm / simulation / network training algorithms / /
SocialTag |
Neural network computation by in vitro transcriptional circuits Jongmin Kim1 , John J. Hopfield3 , Erik Winfree2 Biology , CNS and Computer Science2 , California Institute of Technology. Molecular Biology3 , Princeton Un