商品簡介
Moscow-based mathematicians Kuzmina, Manykin, and Grichuk describe and analyze various oscillatory neutral network models, a special kind of artificial neural network model that helps elucidate the basic principles of brain performance by displaying the capability and limitations of synchronization-based information processing. They cover neural and oscillatory networks of associative memory, oscillatory networks for modeling the brain structure's performance, image processing based on the oscillatory network model, parallel information processing and photon echo, and stochastic oscillators for modeling polarized light beams. Annotation c2014 Book News, Inc., Portland, OR (booknews.com)
作者簡介
M.G. Kuzmina, Keldysh Inst. of Applied Maths RAS; E.A. Manykin, NRC Kurchatov Inst.;E.S. Grichuk, NRC Kurchatov Inst.
