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Song Sen
Brain and Intelligence Laboratory
Tsinghua University
Beijing
Language: English, Chinese
Contact
Neuroscience Cognition Artificial Intelligence Neural Networks Deep Learning Brain Circuits Emotion Motivation Aesthetics Well-Being
Areas of Focus
  • Computational Neuroscience
  • Neural Circuits
  • Brain-inspired Intelligence
  • Happiness Studies
  • Neuroaesthetics
Work Experience
  • 2010 - Present - Tsinghua University - Researcher/Associate Professor
  • 2004 - 2010 - Massachusetts Institute of Technology - Postdoctoral Researcher
  • 2002 - 2004 - Cold Spring Harbor Laboratory - Postdoctoral Researcher
  • 2001 - 2002 - GPC Biotech - Computational Biologist
Academic Background & Achievements
  • 1996 - 2002 Ph.D. in Biology: Brandeis University
  • 1994 - 1996 Bachelor's Degree: University of Mississippi
Publications
  • Jumper: learning when to make classification decisions in reading., Liu, X., Mou, L., Cui, H., Lu, Z., & Song, S., 2018
  • Estimation of the volume of the left ventricle from mri images using deep neural networks., Liao, F., Chen, X., Hu, X., & Song, S., 2017
  • Somatostatin neurons in the basal forebrain promote high-calorie food intake., Zhu, C., Yao, Y., Xiong, Y., Cheng, M., Chen, J., Song, S., & Zhao, R., 2017
  • Decreased between-hemisphere connectivity strength and network efficiency in geriatric depression., Li, X., Steffens, D. C., Potter, G. G., Guo, H., Song, S., & Wang, L., 2016
  • Attentional neural network: feature selection using cognitive feedback., Wang, Q., Zhang, J., Song, S., & Zhang, Z., 2014
  • A genetic and computational approach to structurally classify neuronal types., Sümbül, Uygar, Song, S., Mcculloch, K., Becker, M., Lin, B., & Sanes, J. R., 2014
  • Increased axonal bouton dynamics in the aging mouse cortex., Grillo, F. W., Song, S., Teles-Grilo Ruivo, L. M., Huang, L., Gao, G., & Knott, G. W., 2013
  • Resolving conflict in eutherian mammal phylogeny using phylogenomics and the multispecies coalescent model., Song, S., Liu, L., Edwards, S. V., & Wu, S., 2012
  • Highly nonrandom features of synaptic connectivity in local cortical circuits., Song, S., Sjöström, PJ., Reigl, M., Nelson, S., Chklovskii, DB., 2005
  • Competitive hebbian learning through spike-timing-dependent synaptic plasticity., Song, S., Miller, K. D., & Abbott, L. F., 2000
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