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                         宋森         
        
            
研究员, 清华-IDG/麦戈文脑科学研究院
研究员, 清华大学医学院生物医学工程系
            
电子邮件: sen.song@gmail.com
领英链接:http://www.brainmatrix.me
                     
        
                        [研究兴趣]                          1. Develop computational tools and analyze large volumes of data generated by connectomics and genomics research
2. Find out the neural circuit basis of positive emotions and their relationship to motivations to obtain rewards using imaging and optogenetics
3. Apply such knowledge to mood disorders
4. Apply knowledge gained about neural circuits to artificial neural networks algorithms and building neuromophic computer chips

        
        
                            [我和科学]                              
​Since my childhood, I have been fascinated by two questions:1 why human can do intelligent things that computers cannot do. 2 what is a good life. I am glad that I found out that I can tackle these fundamental questions with the tools provided by modern neuroscience, and this incredible interdisplinary field of brain research provides many exciting opportunities. Since coming to Tsinghua, I have also been increasingly interested in brain related medical problems, like depression and anxiety disorders, which challenge us and makes life difficult for many people. The overarching theme in my lab is what I call connectomics and functional connectomics, where we take inspiration from genomics and functional genomics to aim at arriving at a circuit diagram of the brain and relate circuit structures to their functions and elucidate the computational processes carried out by those circuits.

        
        
                            [简历]                             

2013-Present     PI, IDG/McGovern Institute, Tsinghua University

2010-Present     PI, Department of Biomedical Engineering, Tsinghua University

2004-2010          Postdoctoral Fellow MIT

2002-2004          Postdoctoral Fellow Cold Spring Harbor Laboratory

2001-2002          Computational Biologist GPC Biotech

1996-2002          PhD in Neuroscience, Brandeis University

1994-1996          BA in Physics, University of Mississippi



        
        
                                         [部分发表]                             

Chenggang Chen, Mingxiu Cheng, Tetsufumi Ito, Sen Song*. Neuronal organization in the inferior colliculus revisited with cell-type-dependent monosynaptic tracing, Journal of Neuroscience.Journal of Neuroscience 28 March 2018, 38 (13) 3318-3332.

Chen ZhuYun YaoYan XiongMingxiu ChengJing ChenRui ZhaoFangzhou LiaoRunsheng ShiSen Song*. Somatostatin Neurons in the Basal Forebrain Promote High-Calorie Food Intake. Cell Reports, 2017, Volume 20 , Issue 1 , 112 – 123

Song S&*, Grillo FW&, Xi J, Ferretti V, Gao G, De Paola, V.* (2015) EPBscore: a Novel Method for Computer-Assisted Analysis of Axonal Structure and Dynamics. NeuroInformatics (co-first and co-corresponding author)

Wang Q, Zhang J, Song S*, Zhang Z*. (2014) Attentional Neural Network: Feature Selection Using Cognitive Feedback. Advances in Neural Information Processing Systems, 2033-2041.

Sumbul U&, Song S&, McCulloch K, Becker M, Lin B, Sanes JR, Masland R, Seung SH*. (2014) A genetic and computational approach to structurally classify neuronal types. Nature Communications, 5:3512.

Canty AJ, Ruivo LMTG, Nesarajah C, Song S, Jackson JS, Little GE, De Paola,V* (2013) Synaptic elimination and protection after minimal injury depend on cell type and their prelesion structural dynamics in the adult cerebral cortex. The Journal of Neuroscience 33 (25), 10374-10383.

Grillo, F.W., Song, S*, Ruivo, LMTG., Huang,L., Gao, G., Knott, GW., Maco, B., Ferretti, V., Thompson, D., Graham,L., De Paola,V. (2013) Increased axonal bouton dynamics in the ageing mouse cortex. PNAS, 110(16), E1514-23.

Song S&, Liu L&, Edwards SV, Wu S* (2012) Resolving conflict in eutherian mammal phylogeny using phylogenomics and the multispecies coalescent model. PNAS, 109(37) 14942-14947

Song, S.*, Sjöström, PJ., Reigl, M., Nelson, S., Chklovskii, DB. (2005) Highly nonrandom features of synaptic connectivity in local cortical circuits. PLoS Biology 3:e68.  

Song, S*., Abbott, LF. (2001) Column and map development and cortical remapping through spike-timing dependent plasticity. Neuron 32:339-50.  

Song, S.*, Miller, K., Abbott, LF. (2000) Competitive Hebbian learning through spike-timing-dependent synaptic plasticity. Nature Neuroscience 3:919-926. 

                     
                 
        
    
    
        
            
                    
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