Assistant Adjunct Professor
Office: 4214A LS
Phone: (310) 206-6636
Our nervous system is a highly parallel high-performance computing network with trillions of connections called synapses and billions of processing elements called neurons supported by trillions of glial cells. My research focuses on developing theories of workings of this complex system in health and disease by examining the structure, function and molecular basis. We use interdisciplinary approaches including electrophysiology, mathematical modeling and simulations, bio-hybrid systems and also collaborate with molecular biologists and clinical scientists. We are currently focusing on developing mechanistic understanding of disease dynamics in progressive neurodegenerative motor neuron disease, Amyotrophic Lateral Sclerosis (or ALS). Our results have begun to shed light on how the disease alters motor neuron physiology at pre-symptomatic stages and may lead to the development of muscle dysfunction. We are now seeking to develop a dynamic longitudinal map of electrophysiological and molecular changes in vulnerable brainstem sensorimotor circuits to help identify early biomarkers and therapeutic targets. Along the way, we wish to make significant discoveries answering intriguing questions on selectivity and vulnerability in disease with broader implications to suggest strategies for disease management.
B.S., Electrical and Electronics Engineering, Bangalore University 1999
M.S., Electrical Engineering, Ohio State University 2004
Ph.D., Neuroscience, Ohio State University 2008
Sharmila Venugopal, “What makes neurons good listeners?”, Society for Industrial and Applied Mathematics News, Lina Sorg(Eds.), (2019) [link].
S Seki, T Yamamoto, K Quinn, I Spigelman, A Pantazis, R Olcese, M Wiedau-Pazos, SH Chandler, S Venugopal, “Circuit-specific early impairment of proprioceptive sensory neurons in the SOD1G93A mouse model for ALS”, Journal of Neuroscience, 39 (44): 8798-8815 (2019) .
S Venugopal, S Seki, DH Terman, A Pantazis, R Olcese, M Wiedau-Pazos, SH Chandler, “Resurgent Na+ Current Offers Noise Modulation in Bursting Neurons”, PLOS Computational Biology, 15 (6): 1-27 (2019) .
J von Morgenland, S Venugopal, “Hill’s Model for Muscle Physiology and Biomechanics”, In: Encyclopedia of Computational Neuroscience, Section on Motor Neurons and Neuromuscular Systems, R Jung & D Jaeger(Eds.), (2019) .
S Venugopal, R Srinivasan, BS Khakh, “GECIquant: Semi-automated detection and quantification of astrocyte intracellular Ca2+ signals monitored with GCaMP6f”, In: Computational Gliosciences, H Berry & M De Pitta(Eds.), 1-10 (2018) .
R Srinivasan, BS Huang, S Venugopal, AD Johnston, H Chai, H Zeng, P Golshani & BS Khakh, “Ca2+ signaling in astrocytes from IP3R2-/- mice in brain slices and during startle responses in vivo”, Nature Neuroscience, 18 : 708-717 (2015) .
S Venugopal, CF Hsiao, T Sonoda, M Wiedau-Pazos & SH Chandler, “Homeostatic dysregulation in membrane properties of masticatory motoneurons compared to oculomotor neurons in a mouse model for Amyotrophic Lateral Sclerosis”, Journal of Neuroscience, 35 (2): 707-720 (2015) .
S Venugopal, “Conductance-based models of nonlinear dynamics in vertebrate motoneurons”, Encyclopedia of Computational Neuroscience, R Jung & D Jaeger(Eds.), 1-6 (2014) .
S Venugopal, TM Hamm & R Jung, “Differential contributions of somatic and dendritic calcium-dependent potassium currents to the control of motoneuron excitability following spinal cord injury”, Cognitive Neurodynamics, 6 (3): 283-293 (2012) .
S Venugopal, S Crook, M Srivatsan & R Jung, “Principles of Computational Neuroscience”, In: Biohybrid Systems, Nerves, Interfaces and Machines, 11-30 (2011) .
612 Charles E. Young Drive East
Los Angeles, CA 90095-7246
(t) (310) 825-4373
(f) (310) 206-9184