Cambridge University / Laboratory of Molecular Biology / Raffaele Calabretta Institute of Cognitive Sciences / Yale University / /
IndustryTerm
nonmodular neural networks / cognitive systems / information processing / visual neural networks / evolutionary process neural networks / neural network / few cases network / genetic algorithm / possible solution / nonmodular visual neural networks / dedicated synaptic systems / simulative tools / neural networks / genetic algorithms / non-modular systems / simulation networks / evolutionary connectionism approach using neural networks / artificial neural networks / input systems / nonmodular networks / learning algorithm / show how using artificial neural networks / /
Organization
Cambridge University / Laboratory of Molecular Biology / Structural Studies Division / Cognitive Sciences and Technologies Italian National Research Council / Raffaele Calabretta Institute of Cognitive Sciences / Yale University / /
Genetic interference reduces the evolvability of modular and nonmodular visual neural networks Raffaele Calabretta Institute of Cognitive Sciences and Technologies Italian National Research Council, Rome, Italy raffaele.