phone: (310) 206-6636
office: 4214A Life Sciences
research interests: Computational Neuroscience, Neurodegeneration, Neural Engineering, Undergraduate STEM Education
B.E., Electrical And Electronics Engineering, Bangalore University 1999
M.S., Electrical Engineering, The Ohio State University 2004
Ph.D., Neuroscience, The Ohio State University 2008
Our nervous system is continually changing during development, aging and in chronic diseases such as neurodegeneration. Understanding the spatiotemporal dynamics of these changes is at the heart of Neuroscience research. Key questions that drive my research include: 1) How do development, aging and disease progressively alter brain physiology? 2) How do they tune or alter the information processing capacity of the nervous system at molecular, cellular and network levels of organization? 3) How do transcriptional and translational algorithms transform in response to stressors such as disease and aging? We address these multifaceted questions through an iterative combination of theory and experiments. This way, we seek to help identify early biomarkers and therapeutic strategies for devastating diseases, drive adaptive technology development, guide bioinspired computational algorithms and enrich the theoretical framework of Neuroscience.
S Venugopal, "What makes neurons good listeners?", Society for Industrial and Applied Mathematics News, Lina Sorg(Eds.), 1-5 (2019) [link].
A Denizot, H Berry, S Venugopal, "Intracellular Ca2+ Dynamics in Astrocytes: Modeling the Underlying Spatiotemporal Diversity", Encyclopedia of Computational Neuroscience, Section on Astrocyte Models, R Jung & D Jaeger(Eds.), 1-19 (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.), 1-11 (2019) .
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) .
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) .