Lixia Gao
Affiliations: | Institute of Neuroscience, Chinese Academy of Sciences, Shanghai, China |
Area:
auditory thalamusGoogle:
"Lixia Gao"Mean distance: 12.99 (cluster 6) | S | N | B | C | P |
Parents
Sign in to add mentor| Jufang He | grad student | ION, CAS | |
| Mu-Ming Poo | grad student | ION, CAS | |
| Xinde Sun | grad student | ION, CAS | |
| Xiaoqin Wang | post-doc | 2011- | Johns Hopkins Medical School |
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Publications
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| Chen Y, Yang H, Luo Y, et al. (2024) Photoacoustic Tomography with Temporal Encoding Reconstruction (PATTERN) for cross-modal individual analysis of the whole brain. Nature Communications. 15: 4228 |
| Jia G, Bai S, Lin Y, et al. (2023) Representation of conspecific vocalizations in amygdala of awake marmosets. National Science Review. 10: nwad194 |
| Zhu L, Zheng D, Li R, et al. (2023) Induction of Anxiety-Like Phenotypes by Knockdown of Cannabinoid Type-1 Receptors in the Amygdala of Marmosets. Neuroscience Bulletin |
| Sun H, Li R, Lin Y, et al. (2023) Hand-Rearing Method for Infant Marmosets. Journal of Visualized Experiments : Jove |
| Lyu C, Yu C, Sun G, et al. (2022) Deconstruction of Vermal Cerebellum in Ramp Locomotion in Mice. Advanced Science (Weinheim, Baden-Wurttemberg, Germany). e2203665 |
| Cao X, Zhu L, Qi R, et al. (2022) Effect of a High Estrogen Level in Early Pregnancy on the Development and Behavior of Marmoset Offspring. Acs Omega. 7: 36175-36183 |
| Meng J, Feng Z, Qian S, et al. (2022) Mapping physiological and pathological functions of cortical vasculature through aggregation-induced emission nanoprobes assisted quantitative, in vivo NIR-II imaging. Biomaterials Advances. 136: 212760 |
| Wang X, Zhang Y, Zhu L, et al. (2022) Selective corticofugal modulation on sound processing in auditory thalamus of awake marmosets. Cerebral Cortex (New York, N.Y. : 1991) |
| Wang X, Zhang Y, Bai S, et al. (2022) Corticofugal Modulation of Temporal and Rate Representations in the Inferior Colliculus of the Awake Marmoset. Cerebral Cortex (New York, N.Y. : 1991) |
| Sun G, Lyu C, Cai R, et al. (2021) DeepBhvTracking: A Novel Behavior Tracking Method for Laboratory Animals Based on Deep Learning. Frontiers in Behavioral Neuroscience. 15: 750894 |