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 LEADER 04841oam 2200529 450 001 9910827000303321 005 20190911103511.0 010 $a1-4522-8402-4 010 $a1-4522-7971-3 010 $a1-4833-8770-4 035 $a(OCoLC)900540518 035 $a(MiFhGG)GVRL6PYE 035 $a(EXLCZ)993710000000333611 100 $a20111206h20122012 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aImproving student learning when budgets are tight /$fAllan R. Odden 210 $aThousand Oaks, Calif. $cCorwin$dc2012 210 1$aThousand Oaks, California :$cCorwin,$d[2012] 210 4$d?2012 215 $a1 online resource (xxi, 184 pages) 225 0 $aGale eBooks 300 $aDescription based upon print version of record. 311 $a1-4522-1708-4 320 $aIncludes bibliographical references and index. 327 $aFRONT COVER; IMPROVING STUDENT LEARNING WHEN BUDGETS ARE TIGHT; CONTENTS; LIST OF TABLES; PREFACE; Purpose; Audience; Organization; ACKNOWLEDGMENTS; Publisher's Acknowledgments; ABOUT THE AUTHOR; CHAPTER 1: A PLAN OF ACTION: TURNING AROUND LOW-PERFORMING AND ENHANCING HIGH-PERFORMING SCHOOLS; A Strategic Approach to Using the Education Dollar; A Plan of Action for Dramatically Improving Student Performance; Analyzing the Current Performance Situation; Setting High Goals; Changing Curriculum and Defining Effective Instructional Practices; Being Strategic About Core Versus Elective Courses 327 $aUsing Data to Improve InstructionOrganizing Teachers Into Collaborative Groups; Investing in Ongoing, Comprehensive, and Intensive Professional Development; Extra Help for Students Struggling to Meet Rigorous Performance Standards; Distributing Leadership Across All Levels and All Roles; Creating a Professional Culture; Taking Teacher and Principal Talent Seriously; Embracing a Performance Culture of Accountability for Student Achievement Results; Summary; Note; CHAPTER 2: THE RESOURCE NEEDS OF THE PLAN OF ACTION; Details of the Resource Needs of the Plan of Action 327 $aExample of a High-Spending District That Could Cut SpendingLinking Table 2.1 to School Finance Adequacy; Summary; Note; CHAPTER 3: TARGETING RESOURCES TO STUDENT LEARNING WHEN BUDGETS ARE TIGHT; Understand and Resist the Cost Increase Pressures on Schools; Smaller Classes; More Electives; Automatic Pay Increases; Growing Benefit Costs; Increased Costs and Flat Performance; How to Move Forward; An Example of Strategic Resource Reallocation for a Midwestern Middle School; More Detail on Strategic Budgeting; Class Size; School Schedules and Core Versus Elective Teachers; Professional Development 327 $aExtra Help Programs for Struggling StudentsInterim Assessments; Other School Resources; Summary; Notes; CHAPTER 4: RECRUITING, DEVELOPING, AND COMPENSATING TOP EDUCATOR TALENT: LOCAL PRACTICES AND SUPPORTING STATE POLICIES; Acquiring, Developing, and Retaining Teacher Talent; Recruiting; Teacher Professional Development; Evaluation; State Policy Implications; Summary; Teacher Salary Structures; Summary and State Policy Implications; Educator Pensions; Three Major Pension Structures and the Typical Educator Pension; Impacts of Typical Educator Pensions on Teacher Behavior and Pension Costs 327 $aA Proposal for Improving Educator PensionsSummary; CHAPTER 5: COMPUTERS AND TECHNOLOGY IN EDUCATION: COSTS AND ONLINE OPTIONS; Costs of Technology Software and Hardware; Cost Overview; Computer Hardware; Operating System, Productivity, and Noninstructional Software; Network Equipment, Printers, and Copiers; Instructional Software and Hardware; Sources of Funding; Using Information Technologies for Instruction; Virtual Schools; K-12 Programs From Private Companies; Blended Instructional Programs; Effectiveness of Online Learning; Costs of Online Learning; Summary; Notes 327 $aCHAPTER 6: WHEN BUDGET CUTS ARE NECESSARY 330 8 $aHow do you stay focused on increasing student learning when budget cuts threaten everything you are striving for? This book offers a comprehensive framework to enhance student achievement in good times and in bad. School reform expert Allan R. Odden outlines a school improvement action plan focused sharply on student learning and then shows how to target resources to implement each strategy in that plan. 606 $aSchool improvement programs$zUnited States 606 $aSchool budgets$zUnited States 615 0$aSchool improvement programs 615 0$aSchool budgets 676 $a371.207 700 $aOdden$b Allan$0923247 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910827000303321 996 $aImproving student learning when budgets are tight$94086935 997 $aUNINA