% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Favila:258691,
author = {Favila, Natalia and Gurney, Kevin and Overton, Paul G},
title = {{T}he {NK}1 antagonist {L}-733,060 facilitates sequence
learning.},
journal = {Journal of psychopharmacology},
volume = {37},
number = {6},
issn = {0269-8811},
address = {London [u.a.]},
publisher = {Sage},
reportid = {DZNE-2023-00664},
pages = {610-626},
year = {2023},
abstract = {Although several brain regions and electrophysiological
patterns have been related to sequence learning, less
attention has been paid to the role that different
neuromodulators play.Here we sought to investigate the role
of substance P (SP) in sequence learning in an operant
conditioning preparation, supported by a reinforcement
learning model.Two experiments were performed to test the
effects of an NK1 receptor (at which SP primarily acts)
antagonist on learning and performing action sequences. In
experiment 1, rats were trained to perform an action
sequence until stable performance was achieved, and then, in
phase 2, they were switched to perform the reverse sequence.
In experiment 2, rats were trained to perform an action
sequence, and in phase 2, they continued to do the same
sequence. In both experiments in the first 3 days of phase
2, rats were injected with an NK1 receptor antagonist
(L-733,060, i.p.) or with vehicle. Additionally, we
developed a reinforcement learning model which allowed the
in silico replication of our experimental tasks.We found
that administering an NK1 receptor antagonist weakened the
stable retention of a well-learned sequence, allowing the
faster acquisition of a new sequence, without impairing the
continued performance of a crystallized sequence. Using our
reinforcement learning model, we suggest that SP could be
acting through the state value learning rate, modulating the
effects of the reward prediction error.Our results suggest
that SP could be involved in the consolidation of a sequence
representation through a modulatory effect on the reward
prediction error.},
keywords = {Rats / Animals / Learning / Reinforcement, Psychology /
Piperidines: pharmacology / Conditioning, Operant / Reward /
Substance P: pharmacology / Receptors, Neurokinin-1 /
3-((3,5-bis(trifluoromethyl)phenyl)methyloxy)-2-phenylpiperidine
(NLM Chemicals) / Action sequences (Other) / reinforcement
learning (Other) / reward prediction error (Other) /
striosomes (Other) / substance P (Other) / Piperidines (NLM
Chemicals) / Substance P (NLM Chemicals) / Receptors,
Neurokinin-1 (NLM Chemicals)},
cin = {AG Krabbe ; AG Krabbe},
ddc = {610},
cid = {I:(DE-2719)5000059},
pnm = {351 - Brain Function (POF4-351)},
pid = {G:(DE-HGF)POF4-351},
typ = {PUB:(DE-HGF)16},
pmc = {pmc:PMC10291388},
pubmed = {pmid:36988219},
doi = {10.1177/02698811231161582},
url = {https://pub.dzne.de/record/258691},
}