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Student Uttara Tipnis presents poster at 27th annual CNS

Student Uttara Tipnis presents poster at 27th annual CNS

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Graphic of CNS*2018
Image courtesy of the Allen Institute
A CONNplexity Lab PhD student presented a poster at the recent Computational Neuroscience 2018 conference in Seattle, WA.

Third-year PhD student Uttara Tipnis presented a poster titled "Twin fingerprinting: optimal mapping of heritable traits in human connectome" at the CNS*2018 conference held July 13-18. The poster was based on research aimed at finding the fingerprint of the brain for monozygotic (identical) and dizygotic (paternal) twin subjects. The preliminary results of this research suggest that monozygotic twins share a higher structural fingerprint than dizygotic twins, which can be explained by differences in genetics and developmental factors.

The conference was put on by the Organization for Computational Neurosciences (OCNS), which exists to create a scientific and educational forum for everyone to learn about, to share, to contribute to, and to advance the state of knowledge in computational neuroscience. Purposes include:

  • Computational neuroscience combines mathematical analyses and computer simulations with experimental neuroscience, to develop a principled understanding of the workings of nervous systems and apply it in a wide range of technologies.

  • OCNS promotes meetings and courses in computational neuroscience and organizes the Annual CNS Meeting which serves as a forum for young scientists to present their work and to interact with senior leaders in the field.