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- Title
Network state changes in sensory thalamus represent learned outcomes.
- Authors
Hasegawa, Masashi; Huang, Ziyan; Paricio-Montesinos, Ricardo; Gründemann, Jan
- Abstract
Thalamic brain areas play an important role in adaptive behaviors. Nevertheless, the population dynamics of thalamic relays during learning across sensory modalities remain unknown. Using a cross-modal sensory reward-associative learning paradigm combined with deep brain two-photon calcium imaging of large populations of auditory thalamus (medial geniculate body, MGB) neurons in male mice, 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. The computational role of individual sensory thalamic nuclei in flexible encoding during adaptive behaviors is not fully understood. Here authors, using longitudinal deep brain two-photon calcium imaging, show that changes in mouse auditory thalamus single cell and neuronal population dynamics are predictive of task outcome in cross-modal associative learning.
- Subjects
ASSOCIATIVE learning; POPULATION dynamics; THALAMUS; CELL populations; NEURONS; THALAMIC nuclei
- Publication
Nature Communications, 2024, Vol 15, Issue 1, p1
- ISSN
2041-1723
- Publication type
Article
- DOI
10.1038/s41467-024-51868-8