His primary areas of study are Neuroscience, Cell type, Transgene, Gene expression and Optogenetics. His research on Neuroscience often connects related topics like Calcium imaging. His studies deal with areas such as Cerebral cortex, Transcriptome, Machine learning and Single-cell analysis as well as Cell type.
His Transgene research incorporates themes from In vivo, Hippocampus, Computational biology and In situ hybridization. Hongkui Zeng works mostly in the field of Computational biology, limiting it down to topics relating to Genetics and, in certain cases, Circadian rhythm, as a part of the same area of interest. His Optogenetics research includes themes of Hypothalamus and Genetically modified mouse.
The scientist’s investigation covers issues in Neuroscience, Cell type, Visual cortex, Neocortex and Optogenetics. His research investigates the connection with Neuroscience and areas like Transgene which intersect with concerns in In vivo. His Cell type study incorporates themes from Transcriptome, Gene expression and Computational biology.
Hongkui Zeng usually deals with Computational biology and limits it to topics linked to Enhancer and Epigenetics. His research investigates the connection between Visual cortex and topics such as Calcium imaging that intersect with issues in Fluorescence. His Neocortex study combines topics in areas such as Phenotype and Human brain.
Hongkui Zeng mainly investigates Cell type, Neuroscience, Computational biology, Transcriptome and Neocortex. The Cell type study combines topics in areas such as Gene expression, Gene and Primary motor cortex. His Computational biology research incorporates themes from Chromatin, Genome and Nucleus.
His work is dedicated to discovering how Transcriptome, Glutamatergic are connected with Hippocampus and Cortex and other disciplines. His Neocortex research integrates issues from Phenotype, Visual task and Function. His Genetically modified mouse study, which is part of a larger body of work in Transgene, is frequently linked to CTGF, bridging the gap between disciplines.
Hongkui Zeng mostly deals with Cell type, Neuroscience, Transcriptome, Neocortex and Visual cortex. His research integrates issues of Chromatin, Epigenomics, Computational biology and Primary motor cortex in his study of Cell type. Borrowing concepts from Data aggregator, Hongkui Zeng weaves in ideas under Neuroscience.
The concepts of his Transcriptome study are interwoven with issues in Evolutionary biology, Glutamatergic and Single-cell analysis. Hongkui Zeng has included themes like Electrophysiology, Perception, Sensory system, Calcium imaging and Pattern recognition in his Visual cortex study. His study on Cell also encompasses disciplines like
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A robust and high-throughput Cre reporting and characterization system for the whole mouse brain
Linda Madisen;Theresa A Zwingman;Susan M Sunkin;Seung Wook Oh.
Nature Neuroscience (2010)
A mesoscale connectome of the mouse brain
Seung Wook Oh;Julie A. Harris;Lydia Ng;Brent Winslow.
Nature (2014)
Adult mouse cortical cell taxonomy revealed by single cell transcriptomics
Bosiljka Tasic;Vilas Menon;Thuc Nghi Nguyen;Tae Kyung Kim.
Nature Neuroscience (2016)
A toolbox of Cre-dependent optogenetic transgenic mice for light-induced activation and silencing
Linda Madisen;Tianyi Mao;Tianyi Mao;Henner Koch;Jia Min Zhuo.
Nature Neuroscience (2012)
Shared and distinct transcriptomic cell types across neocortical areas
Bosiljka Tasic;Zizhen Yao;Lucas T. Graybuck;Kimberly A. Smith.
Nature (2018)
The G protein-coupled receptor repertoires of human and mouse.
Demetrios K. Vassilatis;John G. Hohmann;Hongkui Zeng;Fusheng Li.
Proceedings of the National Academy of Sciences of the United States of America (2003)
Transgenic mice for intersectional targeting of neural sensors and effectors with high specificity and performance.
Linda Madisen;Aleena R. Garner;Daisuke Shimaoka;Amy S. Chuong.
Neuron (2015)
Conserved cell types with divergent features in human versus mouse cortex.
Rebecca D. Hodge;Trygve E. Bakken;Jeremy A. Miller;Kimberly A. Smith.
Nature (2019)
Differential Control of Learning and Anxiety along the Dorsoventral Axis of the Dentate Gyrus
Mazen A. Kheirbek;Liam J. Drew;Nesha S. Burghardt;Daniel O. Costantini.
Neuron (2013)
A light-entrainment mechanism for the Drosophila circadian clock.
Hongkui Zeng;Zuwei Qian;Michael P. Myers;Michael Rosbash.
Nature (1996)
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