LEADER 03115nam 2200469z- 450 001 9910220034103321 005 20240424230113.0 035 $a(CKB)3800000000216436 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/47255 035 $a(EXLCZ)993800000000216436 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aExtinction learning from a mechanistic and systems perspective /$ftopic editors, Denise Manahan-Vaughan, Ruhr University Bochum, Germany, Onur Gunturkun, Ruhr University Bochum, Germany, Oliver T. Wolf, Ruhr University Bochum, Germany 210 $cFrontiers Media SA$d2016 215 $a1 electronic resource (277 p.) 225 1 $aFrontiers Research Topics 311 $a2-88919-908-8 330 $aThroughout their lifetime, animals learn to associate stimuli with their consequences. Following memory acquisition and consolidation, circumstances may arise that necessitate that initially learned behaviour is no longer relevant. The ensuing process is called extinction learning and involves a novel and complex learning procedure that involves a large number of neural entities. While the neural fundaments of the initial acquisition are well studied, our understanding of the behavioural and neural basis of extinction is still limited and derives mostly from rodent data acquired through fear conditioning paradigms. Fear conditioning and extinction in rodents is a spectacularly successful paradigm within behavioral neuroscience. However, in recent years, new approaches have been emerging that examine the mechanisms of extinction learning in different setting that also involve appetitive models, a broader comparative perspective, a focus on other brain systems, an examination of hormonal factors, and conditioning of immune responses. Only a broader analysis of the neural fundaments of extinction learning will finally uncover shared and distinct mechanisms that underlie extinction learning in different functional systems. The papers compiled in this Research Topic offer new and valuable insights into the mechanisms and functional implementation of extinction learning at its different levels of complexity, and form the basis for new concepts and research ideas in this field. 606 $aExtinction (Psychology) 606 $aLearning$xPhysiological aspects 610 $aExtinction learning 610 $aPavlovian conditioning 610 $aappetitive learning 610 $arenewal 610 $apredictive learning 610 $aneurotransmitter 610 $abrain structure 610 $aFear conditioning 615 0$aExtinction (Psychology) 615 0$aLearning$xPhysiological aspects. 676 $a153.1/5 702 $aG unt urk un$b Onur$f1958- 702 $aManahan-Vaughan$b Denise 702 $aWolf$b Oliver T$f1969- 906 $aBOOK 912 $a9910220034103321 996 $aExtinction learning from a mechanistic and systems perspective$93402583 997 $aUNINA