04310nam 22006735 450 99641817360331620200820043533.03-030-46444-X10.1007/978-3-030-46444-8(CKB)4100000011392572(DE-He213)978-3-030-46444-8(MiAaPQ)EBC6313862(PPN)250214628(EXLCZ)99410000001139257220200820d2020 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierStatistical Field Theory for Neural Networks[electronic resource] /by Moritz Helias, David Dahmen1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (XVII, 203 p. 127 illus., 5 illus. in color.)Lecture Notes in Physics,0075-8450 ;9703-030-46443-1 Introduction -- Probabilities, moments, cumulants -- Gaussian distribution and Wick’s theorem -- Perturbation expansion -- Linked cluster theorem -- Functional preliminaries -- Functional formulation of stochastic differential equations -- Ornstein-Uhlenbeck process: The free Gaussian theory -- Perturbation theory for stochastic differential equations -- Dynamic mean-field theory for random networks -- Vertex generating function -- Application: TAP approximation -- Expansion of cumulants into tree diagrams of vertex functions -- Loopwise expansion of the effective action - Tree level -- Loopwise expansion in the MSRDJ formalism -- Nomenclature.This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks. These powerful analytical techniques, which are well established in other fields of physics, are the basis of current developments and offer solutions to pressing open problems in theoretical neuroscience and also machine learning. They enable a systematic and quantitative understanding of the dynamics in recurrent and stochastic neuronal networks. This book is intended for physicists, mathematicians, and computer scientists and it is designed for self-study by researchers who want to enter the field or as the main text for a one semester course at advanced undergraduate or graduate level. The theoretical concepts presented in this book are systematically developed from the very beginning, which only requires basic knowledge of analysis and linear algebra.Lecture Notes in Physics,0075-8450 ;970Statistical physicsNeurosciencesMachine learningNeural networks (Computer science) Mathematical statisticsStatistical Physics and Dynamical Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/P19090Neuroscienceshttps://scigraph.springernature.com/ontologies/product-market-codes/B18006Machine Learninghttps://scigraph.springernature.com/ontologies/product-market-codes/I21010Mathematical Models of Cognitive Processes and Neural Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/M13100Probability and Statistics in Computer Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/I17036Statistical physics.Neurosciences.Machine learning.Neural networks (Computer science) .Mathematical statistics.Statistical Physics and Dynamical Systems.Neurosciences.Machine Learning.Mathematical Models of Cognitive Processes and Neural Networks.Probability and Statistics in Computer Science.519.2Helias Moritzauthttp://id.loc.gov/vocabulary/relators/aut932868Dahmen Davidauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK996418173603316Statistical Field Theory for Neural Networks2099673UNISA04208nam 2200577Ia 450 991043807520332120200520144314.09781430245612143024561110.1007/978-1-4302-4561-2(CKB)2560000000102841(DE-He213)978-1-4302-4561-2(SSID)ssj0000907771(PQKBManifestationID)11570524(PQKBTitleCode)TC0000907771(PQKBWorkID)10898078(PQKB)10337873(MiAaPQ)EBC1694153(CaSebORM)9781430245605(PPN)16913475X(OCoLC)855856704(OCoLC)ocn855856704(EXLCZ)99256000000010284120130426d2013 uy 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierLobbyists at work /Beth L. Leech1st ed. 2013.Berkeley, CA Apress Imprint: Apress20131 online resource (XIV, 272 p. 1 illus.) Includes index.9781430245605 1430245603 Howard Marlowe -- Robert Walker -- Nick Allard -- Julie Stewart -- Laura Murphy -- Lyle Dennis -- Dale Florio -- Christina Mulvihill -- Leslie Harris -- Mark Burnham -- Danielle Her Many Horses -- Timothy Richardson -- Jonathan Schleifer -- Angela Guo -- Craig Holman."Lobbyists at Work is a must-read for anyone interested in the serious business of government. Leech's probing questions reflect her years of research tracking the real impact of money and influence on policy."  —Thomas Hale Boggs, Jr. (Chairman, Patton Boggs LLP)  Received wisdom has it that lobbyists run the American government on behalf of moneyed interests. But what makes lobbyists run, and how do they induce legislators and bureaucrats to do their bidding? These are questions for which even the harshest critics lack satisfying answers. Lobbyists at Work explores what lobbyists really do and why. It goes behind the scenes and brings back in-depth interviews with fifteen political advocates chosen to represent the breadth and diversity of the lobbying profession. The interviewees profiled in this book range from the top lobbyists-for-hire at the most powerful K Street firms to pro bono lobbyists for the disenfranchised and powerless. The roster spans all types of lobbyists working for all types of clients and seeking to influence all levels and branches of government. The permutations include business-lobbying-government, government-lobbying-government, government-to-business revolving door, regulatory lobbying, state and local lobbying, citizen-advocacy lobbying,single-issue lobbying, and multiple-issue lobbying. In colorful and sometimes hilarious detail, the interviewees take the reader through their arsenals of traditional and next-generation lobbying techniques, including face-to-face persuasion of elected officials and their staffs, educational campaigns and coalition-building, ghost-drafting complex legislation and regulation for government committees and agencies, contributions, and social media campaigns.  In Lobbyists at Work, the normally self-effacing subjects open up about themselves and their profession: why they chose to become lobbyists, what motivates them to keep lobbying, how they cultivate their lobbying influence, how they adjust to changes in the rules affecting their lobbying methods, and what they actually do at work each day (and night). As an authority on lobbying respected in Washington for her impartiality, Professor Beth Leech elicits frank disclosures, career tips, and riveting stories about the good, the bad, and the ambivalent on both sides of the symbiotic relationship between government officials and lobbyists.LobbyingLobbyistsLobbying.Lobbyists.650Leech Beth L1065175MiAaPQMiAaPQMiAaPQBOOK9910438075203321Lobbyists at Work2543496UNINA