LEADER 04157nam 2200709 450 001 9910823618203321 005 20230803220611.0 010 $a3-11-026920-1 024 7 $a10.1515/9783110269208 035 $a(CKB)2550000001169803 035 $a(EBL)1130394 035 $a(OCoLC)865329979 035 $a(SSID)ssj0001061457 035 $a(PQKBManifestationID)12397415 035 $a(PQKBTitleCode)TC0001061457 035 $a(PQKBWorkID)11098614 035 $a(PQKB)10107656 035 $a(MiAaPQ)EBC1130394 035 $a(DE-B1597)173778 035 $a(OCoLC)979912210 035 $a(DE-B1597)9783110269208 035 $a(Au-PeEL)EBL1130394 035 $a(CaPaEBR)ebr10819974 035 $a(CaONFJC)MIL551788 035 $a(EXLCZ)992550000001169803 100 $a20130726h20142014 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aOscillatory neural networks $ein problems of parallel information processing /$fMargarita G. Kuzmina, Eduard A. Manykin, Evgeny Grichuk 210 1$aBerlin ;$aBoston :$cWalter de Gruyter GmbH & Co. KG,$d[2014] 210 4$dİ2014 215 $a1 online resource (172 p.) 300 $aDescription based upon print version of record. 311 $a3-11-026835-3 311 $a1-306-20537-9 320 $aIncludes bibliographical references and index. 327 $t Frontmatter -- $tPreface -- $tAcknowledgments -- $tContents -- $t1. Introduction -- $t2. Neural and oscillatory networks of associative memory -- $t3. Oscillatory networks for modeling the brain structures performance -- $t4. Image processing based on the oscillatory network model -- $t5. Parallel information processing and photon echo -- $t6. Stochastic oscillators for modeling polarized light beams -- $tSummary and some perspectives -- $tIndex 330 $aUnderstanding of the human brain functioning currently represents a challenging problem. In contrast to usual serial computers and complicated hierarchically organized artificial man-made systems, decentralized, parallel and distributed information processing principles are inherent to the brain. Besides adaptation and learning, which play a crucial role in brain functioning, oscillatory neural activity, synchronization and resonance accompany the brain work. Neural-like oscillatory network models, designed by the authors for image processing, allow to elucidate the capabilities of dynamical, synchronization-based types of image processing, presumably exploited by the brain. The oscillatory network models, studied by means of computer modeling and qualitative analysis, are presented and discussed in the book. Some other problems of parallel distributed information processing are also considered, such as a recall process from network memory for large-scale recurrent associative memory neural networks, performance of oscillatory networks of associative memory, dynamical oscillatory network methods of image processing with synchronization-based performance, optical parallel information processing based on the nonlinear optical phenomenon of photon echo, and modeling random electric fields of quasi-monochromatic polarized light beams using systems of superposed stochastic oscillators. This makes the book highly interesting to researchers dealing with various aspects of parallel information processing. 606 $aHuman information processing 606 $aNeural networks (Neurobiology) 610 $aComputational Mathematics. 610 $aCoupled Oscillators. 610 $aImage Processing. 610 $aNeural Networks. 610 $aSelf-Organization. 610 $aSynchronization. 615 0$aHuman information processing. 615 0$aNeural networks (Neurobiology) 676 $a612.8 700 $aKuz?mina$b M. G$g(Margarita Georgievna)$01615722 701 $aManykin$b Eduard$01615723 701 $aGrichuk$b Evgeny$01615724 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910823618203321 996 $aOscillatory neural networks$93946050 997 $aUNINA