About
I am a postdoctoral associate at Yale University School of Medicine, working with Prof. John Murray. I was previously a PhD student at Shanghai Jiao Tong University with Prof. David Cai and Douglas Zhou.
Please find more about my academic and professional bacground from my CV.
Research Interest
I am interested in investigating cognitive neuronal dynamics through microcircuit models, and also try to gain insights into the distributed computational mechanisms of various cognitive processes through large-scale modeling. The close interplay between modeling and experiment is at the heart of my research program. In the past, I have collaborated with experimentalists and analyzed data across a range of levels: neuronal spike train data, neuroimaging data, and cognitive behavioral data. I used a combination of statistical analysis and mathematical/computational modeling.
Education
Shanghai Jiao Tong University
Ph.D. Mathematics, (2013-2018)
Dissertation: Balanced network in Neuronal Networks
Shanghai Jiao Tong University
M.S. Mathematics, (2011-2013)
Shanghai Jiao Tong University
B.S. Mathematics, (2007-2011)
Publications
2020
Qinglong L. Gu, Norman H. Lam, Ralf D. Wimmer, MichaelM. Halassa, John D.Murray (2020). Computational Circuit Mechanisms Underlying Thalamic Control of Attention. bioRxiv. https://doi.org/10.1101/2020.09.16.300749
2019
Qinglong L. Gu, Yanyang Xiao, Songting Li, and Douglas Zhou (2019). Emergence of spatially periodic diffusive waves in small-world neuronal network. Physical Review E. https://doi.org/10.1103/PhysRevE.100.042401
2018
Qing-long L. Gu, Zhong-qi K. Tian, Gregor Kovacic, Douglas Zhou and David Cai (2018). The Dynamics of Balanced Spiking Neuronal Networks Under Poisson Drive Is Not Chaotic. Frontiers in Computational Neuroscice. https://doi.org/10.3389/fncom.2018.00047
Qing-long L. Gu, Songting Li, Wei P. Dai, Douglas Zhou and David Cai (2018). Balanced Active Core in Heterogeneous Neuronal Networks. Frontiers in Computational Neuroscice. https://doi.org/10.3389/fncom.2018.00109
Conference
2021
Qinglong L. Gu, Norman H. Lam, Rlaf D. Wimmer, Michael M. Halassa, John D.Murray (July 2021). Computational circuit mechanisms underlying thalamic control of attention. Poster at Computational Neuroscience (CNS).
2020
Qinglong L. Gu, Norman H. Lam, Michael M. Halassa, John D.Murray (February 2020). Mechanisms of top-down attentional control in thalamic reticular circuit. Poster at Computational and Systems Neuroscience (Cosyne).
2019
Qinglong L. Gu, Norman H. Lam, Michael M. Halassa, John D.Murray (October 2019). Mechanisms of top-down attentional control in thalamic reticular circuits and effects of inhibitory dysfunction. Poster at Society for Neuroscience (SfN).
2017
Qing-long L. Gu, Songting Li, Wei P. Dai, Douglas Zhou and David Cai (May 2017). Emergence of a balanced core through dynamical computation in inhomogeneous neuronal networks. Oral talk at SIAM Conference on Applications of Dynamical Systems.