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INFORMATION FOR

    Liang Liang, PhD, BS

    Assistant Professor
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    Additional Titles

    Assistant Professor, Neuroscience

    About

    Titles

    Assistant Professor

    Assistant Professor, Neuroscience

    Biography

    Liang Liang received her B.S. in Mathematics and Physics from Tsinghua University in China. She then moved to the United States and completed her M.S. and Ph.D. in Applied Physics at Stanford University under the supervision of Drs. Liqun Luo and Mark Schnitzer. During her graduate work, Liang identified a novel circuit motif that recruited excitatory and inhibitory channels in parallel to shape odor processing in the fruit fly, using two-photon imaging, laser dissection and optogenetics. She was supported by a Stanford Graduate Fellowship and a Lubert Stryer Stanford Interdisciplinary Graduate Fellowship. Liang joined the groups of Drs. Chinfei Chen and Mark Andermann at Harvard Medical School for her postdoctoral training, where she studied functional organization and state-dependent modulation of retinal axons in the early visual system of awake behaving mice. She was supported by a postdoctoral fellowship from the Simons Collaboration on the Global Brain (SCGB). Liang joined the Department of Neuroscience at Yale School of Medicine as an Assistant Professor in 2020. Her laboratory studies the computation of information selectivity along the visual hierarchy with a primary focus on the visual thalamic circuitry, taking a combination of in vivo imaging, genetic, behavioral, and computational approaches.

    Appointments

    Education & Training

    Research Fellow
    Boston Children's Hospital (2019)
    PhD
    Stanford University, Applied Physics (2013)
    BS
    Tsinghua University, Mathematics and Physics (2006)

    Research

    Overview

    Our laboratory studies the computation of information selectivity along the visual hierarchy, taking a combination of in vivo imaging, genetic, behavioral, and computational approaches. Our research primarily focuses on visual thalamic circuitry. The primary visual thalamus integrates inputs from the retina with inputs from multiple brain centers, and the thalamic output provides the main feedforward visual information to the cortex. Rather than being a simple relay station, a growing body of research suggests that rich visual computation and neuromodulation already takes place in the thalamus prior to the cortex. However, in contrast to the retina and visual cortex, we know much less about the visual computation associated to the thalamus. For example, it remains unclear how diverse channels of retinal information may be enriched, reinforced and flexibly tuned in the thalamus and how thalamic visual processing impacts downstream visual representation. By integrating our newly developed imaging technologies and several state-of-the-art methods, we will dissect the functional organization of synapses and neural circuits in the thalamus at an unprecedented spatiotemporal resolution, and identify the rules of computing visual information selectivity there. We also work on cracking the long-range functional connectivity of the retino-thalamo-cortical visual pathway to understand the progressive contribution of visual centers in establishing visual feature representations.

    Medical Research Interests

    Behavior; Computational Biology; Neurobiology; Neuronal Plasticity; Neurophysiology; Neurosciences; Optogenetics; Visual Pathways; Visual Perception

    Publications

    2024

    2022

    2020

    2018

    2017

    2013

    Academic Achievements & Community Involvement

    • honor

      Lawrence Young Investigator Award

    • honor

      The E. Matilda Ziegler Foundation for the Blind research award

    • honor

      Whitehall Foundation Research Grant

    • honor

      Kavli Innovative Research Award

    • honor

      Smith Family Award for Excellence in Biomedical Research

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    Contacts

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    Events

    Feb 202524Monday
    Apr 20257Monday