Publications

♥ Corresponding author(s)  ♦ Trainee  ♠ Book chapter

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, September 2019, pii: 1214-19. doi: 10.1523/JNEUROSCI.1214-19.2019.

A Denizot, H Berry, S Venugopal, “Computational modeling of astrocyte intracellular Ca2+ signals”, In: Encyclopedia of Computational Neuroscience, D Jaeger, R Jung (Eds), 2nd edition, Springer-Verlag New York (In revision).

J von Morgenland, S Venugopal, “Hill’s model for muscle physiology and biomechanics”, In: Encyclopedia of Computational Neuroscience, Section on Models of Motor Neurons and Neuromuscular Systems, D Jaeger, R Jung (Eds), 2nd edition, Springer-Verlag New York (In revision).

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, June 2019, 15(6):e1007154. doi: 10.1371/journal.pcbi.1007154. eCollection 2019 Jun. PMID: 31226124.

S Venugopal, R Srinivasan, BS Khakh, “GECIquant: semi-automated detection and quantification of astrocyte intracellular Ca2+ signals monitored with GCaMP6f”, In: Computational Glioscience, Springer International Publishing, M De Pitta, H Berry (Eds), DOI: 10.1007/978-3-030-00817-8_17, 1st edition, January 2019.


R Srinivasan, BS Huang, S Venugopal, AD Johnston, H Chai, H Zeng, P Golshani & BS Khakh, “Physiological Ca2+ signaling in astrocytes from IP3R2-/- mice in brain slices and during startle responses in vivo”, Nature Neuroscience, May 2015, 18(5):708-17. SV developed the GECIquant image processing software reported in this study for detection and quantification of spatiotemporal diversity of astrocyte Ca2+ signals.

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, January 2015, 35(2): 707-720.

S Venugopal, “Brainstem networks for central pattern generation”, In: Encyclopedia of Computational Neuroscience, D Jaeger, R Jung (Eds), Springer-Verlag New York, ISBN: 978-1-4614-6676-5, 1st edition (2015).

S Venugopal, “Conductance-based models of nonlinear dynamics in vertebrate motoneurons”, In: Encyclopedia of Computational Neuroscience, D Jaeger, R Jung (Eds), Springer-Verlag New York, Print, eBook ISBN: 978-1-4614-6676-5, 1st edition (2015).

S Venugopal, “Models of motoneurons and neuromuscular systems: Overview”, In: Encyclopedia of Computational Neuroscience, D Jaeger, R Jung (Eds), Springer-Verlag New York, Print, eBook ISBN: 978-1-4614-6676-5, 1st edition (2015).

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, February 2012, 6(3):283-293.

S Venugopal, TM Hamm, SM Crook & R Jung, “Modulation of inhibitory strength and kinetics facilitates regulation of persistent inward currents and motoneuron excitability following spinal cord injury”, Journal of Neurophysiology, July 2011, 106:2167-2179.

S Venugopal, S Crook, M Srivatsan & R Jung, “Principles of Computational Neuroscience”, In: Biohybrid Systems – Nerves, Interfaces and Machines, John Wiley & Sons, ISBN: 3527409491, 9783527409495 (2011).

S Venugopal, JA Boulant, Z Chen & JB Travers, “Intrinsic membrane properties of pre-oromotor neurons in the intermediate zone of the medullary reticular formation”, Neuroscience, June 2010, 168(1):31-47.

J Nasse, DH Terman, S Venugopal, G Hermann, R Rogers & JB Travers, “Local circuit input to the medullary reticular formation from the rostral nucleus of the solitary tract”, American Journal of Physiology, November 2008, 295(5): R1391-408. SV contributed to the network modeling component of this study.

S Venugopal, JB Travers, DH Terman, “A computational model for motor pattern switching of taste-induced ingestion and rejection oromotor behaviors”, Journal of Computational Neuroscience, April 2007, 22(2):223-38.

S Venugopal, CR Castro-Pareja, O Dandekar, “An FPGA-based 3D image processor with median and convolution filters for real-time applications” International Society for Optical EngineeringSPIE Annual Conference on Medical Imaging, 2005, vol. 5671, pp. 174-182.

CR Castro-Pareja, JM Jagadeesh, S Venugopal, R Shekar, “FPGA-based 3D median filtering using word-parallel systolic arrays IEEE International Symposium on Circuits and Systems, 2004, vol. 5, Issue 23-26 May, pp. 996-1023.