Surprised at all the entropy: hippocampal, caudate and midbrain contributions to learning from prediction errors.

PloS One
Anne-Marike SchifferRicarda I Schubotz

Abstract

Influential concepts in neuroscientific research cast the brain a predictive machine that revises its predictions when they are violated by sensory input. This relates to the predictive coding account of perception, but also to learning. Learning from prediction errors has been suggested for take place in the hippocampal memory system as well as in the basal ganglia. The present fMRI study used an action-observation paradigm to investigate the contributions of the hippocampus, caudate nucleus and midbrain dopaminergic system to different types of learning: learning in the absence of prediction errors, learning from prediction errors, and responding to the accumulation of prediction errors in unpredictable stimulus configurations. We conducted analyses of the regions of interests' BOLD response towards these different types of learning, implementing a bootstrapping procedure to correct for false positives. We found both, caudate nucleus and the hippocampus to be activated by perceptual prediction errors. The hippocampal responses seemed to relate to the associative mismatch between a stored representation and current sensory input. Moreover, its response was significantly influenced by the average information, or Shannon entropy...Continue Reading

References

Dec 1, 1995·Current Opinion in Neurobiology·A M Graybiel
Mar 14, 1997·Science·W SchultzP R Montague
Jun 24, 1997·Proceedings of the National Academy of Sciences of the United States of America·J A Dusek, H Eichenbaum
Sep 1, 1995·NeuroImage·K J Worsley, K J Friston
Aug 11, 1998·Psychological Review·F G AshbyE M Waldron
Mar 17, 2001·Nature Reviews. Neuroscience·H Eichenbaum
Mar 22, 2001·Nature Reviews. Neuroscience·W Schultz
Sep 22, 2001·Current Biology : CB·D M Wolpert, J R Flanagan
Oct 27, 2001·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·G LohmannD Y von Cramon
Dec 18, 2001·Human Brain Mapping·Thomas E Nichols, Andrew P Holmes
Jun 8, 2002·Annual Review of Neuroscience·Mark G Packard, Barbara J Knowlton
Nov 27, 2002·Progress in Neurobiology·Karl Friston
Nov 30, 2002·Neuropsychologia·Russell A Poldrack, Mark G Packard
Dec 12, 2002·Trends in Cognitive Sciences·Randall C. O'Reilly, Kenneth A. Norman
Mar 29, 2003·Neural Networks : the Official Journal of the International Neural Network Society·D M Wolpert, M Kawato
Jul 26, 2003·Progress in Neurobiology·Thérèse M Jay
Apr 17, 2004·Science·John O'DohertyRaymond J Dolan
Oct 7, 2004·Neurobiology of Learning and Memory·Hisham E AtallahRandall C O'Reilly
Nov 16, 2004·Trends in Neurosciences·David C Knill, Alexandre Pouget
May 18, 2005·Neural Networks : the Official Journal of the International Neural Network Society·Bryan A StrangeKarl J Friston
Jun 7, 2005·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Karl Friston
Nov 8, 2005·Current Opinion in Neurobiology·Ann M Graybiel
Nov 9, 2005·Neural Networks : the Official Journal of the International Neural Network Society·Mark A GluckMartijn Meeter
Mar 11, 2006·Neural Networks : the Official Journal of the International Neural Network Society·L M HarrisonK J Friston
Nov 14, 2006·Current Opinion in Neurobiology·Lila Davachi
Nov 25, 2006·Science·Christopher SummerfieldJoy Hirsch
Nov 30, 2006·PLoS Biology·Dharshan Kumaran, Eleanor A Maguire
Mar 27, 2007·Trends in Cognitive Sciences·Ricarda I Schubotz
Apr 5, 2007·Cognitive Processing·Simone Schütz-Bosbach, Wolfgang Prinz
Apr 13, 2007·Cognitive Processing·James M KilnerChris D Frith
Aug 7, 2007·Nature Neuroscience·Timothy E J BehrensMatthew F S Rushworth
Apr 9, 2008·Progress in Brain Research·Michael D RuggMelina R Uncapher
Apr 15, 2008·Proceedings of the National Academy of Sciences of the United States of America·Christian F DoellerNeil Burgess
Aug 5, 2008·Current Opinion in Neurobiology·Okihide HikosakaMasayuki Matsumoto
Aug 23, 2008·Progress in Brain Research·Trinity B Crapse, Marc A Sommer
Oct 30, 2008·Neuron·Dharshan Kumaran, Emrah Duzel
Nov 15, 2008·PLoS Computational Biology·Stefan J KiebelKarl J Friston

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Citations

Jan 11, 2014·Journal of Cognitive Neuroscience·Corinna E BonhageJutta L Mueller
May 25, 2013·PloS One·Nadine DierschSimone Schütz-Bosbach
Mar 4, 2015·NeuroImage·Jason LangleyXiaoping Hu
May 25, 2015·Cortex; a Journal Devoted to the Study of the Nervous System and Behavior·Corinna E BonhageChristian J Fiebach
Jul 22, 2015·Neuropsychologia·Zhiya LiuCarol A Seger
May 15, 2013·Human Brain Mapping·Anne-Marike SchifferRicarda I Schubotz
Feb 24, 2015·Journal of Physiology, Paris·Anne-Marike SchifferNick Yeung
May 23, 2014·Frontiers in Human Neuroscience·Christiane AhlheimRicarda I Schubotz
Sep 15, 2016·Journal of Cognitive Neuroscience·Ima TremplerRicarda I Schubotz
Dec 17, 2019·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Ryan CalmusChristopher I Petkov
Jan 17, 2020·The Journal of Nursing Education·Brandon Kyle Johnson
Sep 28, 2017·Journal of Cognitive Neuroscience·Lin WangOle Jensen
Nov 30, 2016·Frontiers in Human Neuroscience·Burkhard MaessAngela D Friederici
Apr 28, 2018·Nature Communications·Alex PineAvi Mendelsohn
May 2, 2018·Scientific Reports·Arianna Zuanazzi, Uta Noppeney
Aug 15, 2020·Frontiers in Human Neuroscience·Manfred KlöblRupert Lanzenberger
Jan 22, 2021·Neurobiology of Learning and Memory·Jörn Alexander QuentAndrea Greve
Oct 10, 2018·Cortex; a Journal Devoted to the Study of the Nervous System and Behavior·Shauna M StarkCraig E L Stark
Apr 22, 2021·Wiley Interdisciplinary Reviews. Cognitive Science·Arkady Konovalov, Christian C Ruff

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