% 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{Hasegawa:263628,
author = {Hasegawa, Masashi and Huang, Ziyan and Gründemann, Jan},
title = {{N}etwork state changes in sensory thalamus represent
learned outcomes},
journal = {bioRxiv beta},
address = {Cold Spring Harbor},
publisher = {Cold Spring Harbor Laboratory, NY},
reportid = {DZNE-2023-00847},
year = {2023},
abstract = {Thalamic brain areas play an important role in adaptive
behaviors. Nevertheless, the population dynamics of thalamic
relays during learning across sensory modalities remain
mostly unknown. Using a cross-modal sensory reversal
learning paradigm combined with deep brain two-photon
calcium imaging of large populations of auditory thalamus
(MGB) neurons, we identified that MGB neurons are biased
towards reward predictors independent of modality.
Additionally, functional classes of MGB neurons aligned with
distinct task periods and behavioral outcomes, both
dependent and independent of sensory modality. During
non-sensory delay periods, MGB ensembles developed coherent
neuronal representation as well as distinct co-activity
network states reflecting predicted task outcome. These
results demonstrate flexible cross-modal ensemble coding in
auditory thalamus during adaptive learning and highlight its
importance in brain-wide cross-modal computations during
complex behavior.},
cin = {AG Gründemann},
ddc = {570},
cid = {I:(DE-2719)5000069},
pnm = {351 - Brain Function (POF4-351)},
pid = {G:(DE-HGF)POF4-351},
typ = {PUB:(DE-HGF)25},
doi = {10.1101/2023.08.23.554119},
url = {https://pub.dzne.de/record/263628},
}