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Liang Liang, PhD, BS

Assistant Professor
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Appointments

Neuroscience
Primary

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

  • Neuroscience

    Assistant Professor
    Primary

Other Departments & Organizations

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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Events

Feb 202524Monday
Apr 20257Monday