Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Mihaela D. Iordanova"'
Autor:
Patricia Soriano Roque, Carolina Thörn Perez, Mehdi Hooshmandi, Calvin Wong, Mohammad Javad Eslamizade, Shilan Heshmati, Nicole Brown, Vijendra Sharma, Kevin C. Lister, Vanessa Magalie Goyon, Laura Neagu-Lund, Cathy Shen, Nicolas Daccache, Hiroaki Sato, Tamaki Sato, Jeffrey S. Mogil, Karim Nader, Christos G. Gkogkas, Mihaela D. Iordanova, Masha Prager-Khoutorsky, Heidi M. McBride, Jean-Claude Lacaille, Linda Wykes, Thomas Schricker, Arkady Khoutorsky
Publikováno v:
The Journal of Clinical Investigation, Vol 133, Iss 2 (2023)
Repeated or prolonged, but not short-term, general anesthesia during the early postnatal period causes long-lasting impairments in memory formation in various species. The mechanisms underlying long-lasting impairment in cognitive function are poorly
Externí odkaz:
https://doaj.org/article/a714889051cb4d529be111104342892a
Autor:
Mihwa Kang, Ingrid Reverte, Stephen Volz, Keith Kaufman, Salvatore Fevola, Anna Matarazzo, Fahd H. Alhazmi, Inmaculada Marquez, Mihaela D. Iordanova, Guillem R. Esber
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract A fundamental assumption of learning theories is that the credit assigned to predictive cues is not simply determined by their probability of reinforcement, but by their ability to compete with other cues present during learning. This assump
Externí odkaz:
https://doaj.org/article/a8f18123b31a4fc3af1beadd2186a0c6
Publikováno v:
Frontiers in Behavioral Neuroscience, Vol 16 (2022)
Associative learning is often considered to require the physical presence of stimuli in the environment in order for them to be linked. This, however, is not a necessary condition for learning. Indeed, associative relationships can form between event
Externí odkaz:
https://doaj.org/article/d85493b787de4b9fb3e03a8639096ab6
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-11 (2016)
There are two forms of extinction learning, which are vital for adaptive behaviour: simple extinction, when an expected outcome fails to occur, and overexpectation, when an exaggerated expectation is in conflict with the actual outcome. Iordanova et
Externí odkaz:
https://doaj.org/article/e562431144b140c1a881c40e97d4e4f3
Publikováno v:
eLife, Vol 9 (2020)
Understanding how learned fear can be reduced is at the heart of treatments for anxiety disorders. Tremendous progress has been made in this regard through extinction training in which the aversive outcome is omitted. However, current progress almost
Externí odkaz:
https://doaj.org/article/ddaaf0efdfb243c6bd87f4f3ea1e7842
Publikováno v:
Psychopharmacology. 240:501-511
Autor:
Alexandra A. Usypchuk, Etienne JP Maes, Megan Lozzi, Matthew P.H. Gardner, Geoffrey Schoenbaum, Guillem R. Esber, Mihaela D. Iordanova
The discovery that DA transients can be mapped onto the reward prediction errors in temporal difference models is a pinnacle achievement of neuroscience. Yet, there is abundant evidence that DA activity reinforces actions, suggesting it serves as an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::878c0639764eef29d734949977b9409f
https://doi.org/10.1101/2022.11.06.515338
https://doi.org/10.1101/2022.11.06.515338
Autor:
Michael B Eisen, Anna Akhmanova, Timothy E Behrens, Jörn Diedrichsen, Diane M Harper, Mihaela D Iordanova, Detlef Weigel, Mone Zaidi
Publikováno v:
eLife. 11
eLife is changing its editorial process to emphasize public reviews and assessments of preprints by eliminating accept/reject decisions after peer review.
Publikováno v:
Neurosci Biobehav Rev
Prediction error, defined by the discrepancy between real and expected outcomes, lies at the core of associative learning. Behavioural investigations have provided evidence that prediction error up- and down-regulates associative relationships, and a