- UCLA Previously Published Works - eScholarship
Analysis of RNN structure revealed that neural sequences relied primarily on inhibitory connections, and could survive the deletion of all excitatory-to-excitatory connections Our results suggest that in some instances WM is encoded in time-varying neural activity because of the importance of predicting when WM will be used
- A meta-analysis of genetic effects associated with neurodevelopmental . . .
A meta-analysis of genetic effects associated with neurodevelopmental disorders and co-occurring conditions Nature Human Behaviour, 7, 642-656 https: doi org 10 1038 s41562-023-01530-y Gidziela, Agnieszka ; Ahmadzadeh, Yasmin I ; Michelini, Giorgia et al
- Exome sequencing identifies genes associated with sleep . . . - Nature
We identified 22 new genes associated with chronotype (ADGRL4, COL6A3, CLK4 and KRTAP3-3), daytime sleepiness (ST3GAL1 and ANKRD12), daytime napping (PLEKHM1, ANKRD12 and ZBTB21), snoring (WDR59)
- Cheng W*, Yu JT* et al (2023). Genetic architectures of . . .
Cheng W*, Yu JT* et al (2023) Genetic architectures of cerebral ventricles and their overlap with neuropsychiatric traits Nat Hum Behav doi: 10 1038 s41562-023-01722-6
- Multiplexing working memory and time in the trajectories of neural networks
Analysis of RNN structure revealed that neural sequences relied primarily on inhibitory connections, and could survive the deletion of all excitatory-to-excitatory connections Our results indicate that in some instances WM is encoded in time-varying neural activity because of the importance of predicting when WM will be used
- EconPapers: Multiplexing working memory and time in the trajectories of . . .
Analysis of RNN structure revealed that neural sequences relied primarily on inhibitory connections, and could survive the deletion of all excitatory-to-excitatory connections Our results indicate that in some instances WM is encoded in time-varying neural activity because of the importance of predicting when WM will be used
- Genome-wide meta-analysis, functional genomics and integrative analyses . . .
We identified 14 risk loci, including 10 new associations near CNTNAP5, MAP2, RAB9BP1, BTN1A1, PRR16, PCLO, PTPRD, FARP1, CDH2 and RAB27B Functional genomics and fine-mapping pinpointed the potential causal variants, and expression quantitative trait loci analysis revealed the potential target genes regulated by the risk variants
- 人才队伍
学习经历 1981 09-1985 07，湖南师范大学生物系生物专业，理学学士学位 1985 09-1988 07，中国科学院华南植物研究所植物专业，理学硕士学位 1995 07-1999 03，香港大学生态与分类学系，哲学博士学位 工作经历 1988 08-1990 11，研究实习员 1990 12-1995 11，中国科学院华南植物研究所，助理研究员
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