UCR

Cell Biology and Neuroscience



Hongdian Yang


H Yang Profile Picture
Office: 951-827-5414
Fax: 951-827-3087
1119 Biological Sciences Bldg.
Office Hours: W, 2pm - 3pm
Email: hongdian.yang@ucr.edu

Hongdian Yang


2006-2011 University of Maryland, College Park, Ph.D. Biophysics

2002-2006 Nanjing University, B.S. Physics/Biophysics

Biography

Hongdian Yang, Assistant Professor in the Department of Cell Biology and Neuroscience, earned his B.S. in Physics at Nanjing University (2006) and Ph.D. in Biophysics at University of Maryland College Park (2011). During doctoral training, he performed interdisciplinary research of systems neuroscience and statistical physics to determine the dynamical properties of network-scale neuronal activity. He did postdoc work at Johns Hopkins University (2012-2016) with the goal to understand the cellular and circuit mechanisms of sensory perception. At UCR, his lab employ multi-disciplinary approaches, including state-of-the-art in vivo electrophysiology and calcium imaging, optogenetics, mouse behavior, computational modeling and theory, to link cellular-level physiology to circuit dynamics and network analysis in behaving animals, with the ultimate goal to understand the organizational principles of neuronal ensembles and the basis of information processing by single neurons and neural circuits in health and disease.

Visit Yang Lab website


Publications

 

Research articles

S.E. Kwon, H. Yang, G. Minamisawa, D.H. O’Connor, Propagation of sensory and decision-related activity in a cortical feedback loop during touch perception. Nature Neuroscience (in press)

H. Yang*, S.E. Kwon*, K.S. Severson, D.H. O’Connor (2016) Origins of choice-related activity in mouse somatosensory cortex. Nature Neuroscience 19(1):127-134 * equal contribution

S. Yu*, A. Klaus*, H. Yang, D. Plenz (2014) Scale-Invariant Neuronal Avalanche Dynamics and the Cut-off in Size Distributions. PLOS one 9(6): e99761   S. Yu*, H. Yang*, O. Shriki, D. Plenz (2013) Universal organization of resting brain activity at the thermodynamic critical point. Frontiers in Systems Neuroscience 7:1-17

H. Yang, W.L. Shew, R. Roy, D. Plenz (2012) Maximal variability of phase synchrony in cortical networks with neuronal avalanches. Journal of Neuroscience 32(3):1061-1072

S. Yu, H. Yang, H. Nakahara, G. Santos, D. Nikolić, D. Plenz (2011) Higher-Order Interactions characterized in Cortical Activity. Journal of Neuroscience 31(48):17514-17526

D. Plenz, C. Stewart, W.L. Shew, H. Yang, A. Klaus (2011) Multi-electrode array recordings of neuronal avalanches in organotypic cultures. Journal of Visualized Experiments (54), e2949

H. Yang*, W.L. Shew*, S. Yu, R. Roy, D. Plenz (2011) Information capacity and transmission are maximized in balanced cortical networks with neuronal avalanches. Journal of Neuroscience 31(1): 55-63

W.L. Shew, H. Yang, T. Petermann, R. Roy, D. Plenz (2009) Neuronal avalanches imply maximum dynamic range in cortical networks at criticality. Journal of Neuroscience 29(49): 15595-15600

Commentaries & book chapters

H. Yang & D.H. O’Connor (2014) Cortical adaptation and tactile perception. Nature Neuroscience 17, 1434-1436

H. Yang, W.L. Shew, R. Roy, D. Plenz (2014) Peak variability and optimal performance in cortical networks at criticality. Criticality in Neural Systems, Wiley-VCH

S. Yu, H. Yang, O. Shriki, D. Plenz (2014) Critical exponents, universality class, and thermodynamic ‘temperature’ of the brain. Criticality in Neural Systems, Wiley-VCH


More Information

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Cell Biology and Neuroscience
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David Eastmond: Chair of Cell Biology & Neurosience
Tel: (951) 827-4497
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E-mail: david.eastmond@ucr.edu

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