Aaditya V. Rangan - researchr alias

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2023

A time-series analysis of blood-based biomarkers within a 25-year longitudinal dolphin cohortAaditya V. Rangan, Caroline C. McGrouther, Nivedita Bhadra, Stephanie Venn-Watson, Eric D. Jensen, Nicholas J. Schork. ploscb, 19(2), February 2023. [doi]

2019

A coarse-graining framework for spiking neuronal networks: from strongly-coupled conductance-based integrate-and-fire neurons to augmented systems of ODEsJiwei Zhang, Yuxiu Shao, Aaditya V. Rangan, Louis Tao. jcns, 46(2):211-232, 2019. [doi]

2018

A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study dataAaditya V. Rangan, Caroline C. McGrouther, John Kelsoe, Nicholas Schork, Eli Stahl, Qian Zhu, Arjun Krishnan, Vicky Yao, Olga G. Troyanskaya, Seda Bilaloglu, Preeti Raghavan, Sarah Bergen, Anders Jureus, Mikael Landen. ploscb, 14(5), 2018. [doi]

2015

A reduction for spiking integrate-and-fire network dynamics ranging from homogeneity to synchronyJiwei Zhang, Aaditya V. Rangan. jcns, 38(2):355-404, 2015. [doi]

2014

A coarse-grained framework for spiking neuronal networks: between homogeneity and synchronyJiwei Zhang, Douglas Zhou, David Cai, Aaditya V. Rangan. jcns, 37(1):81-104, 2014. [doi]

Distribution of correlated spiking events in a population-based approach for Integrate-and-Fire networksJiwei Zhang, Katherine Newhall, Douglas Zhou, Aaditya V. Rangan. jcns, 36(2):279-295, 2014. [doi]

2013

Coding of odors by temporal binding within a model network of the locust antennal lobeMainak Patel, Aaditya V. Rangan, David Cai. ficn, 2013:50, 2013. [doi]

Dynamics of spiking neurons: between homogeneity and synchronyAaditya V. Rangan, Lai-Sang Young. jcns, 34(3):433-460, 2013. [doi]

Emergent dynamics in a model of visual cortexAaditya V. Rangan, Lai-Sang Young. jcns, 35(2):155-167, 2013. [doi]

2012

Detecting low-rank clusters via random samplingAaditya V. Rangan. jcphy, 231(1):215-222, 2012. [doi]

A simple filter for detecting low-rank submatricesAaditya V. Rangan. jcphy, 231(7):2682-2690, 2012. [doi]

Functional Roles for Synaptic-Depression within a Model of the Fly Antennal LobeAaditya V. Rangan. ploscb, 8(8), 2012. [doi]

Coarse-grained event tree analysis for quantifying Hodgkin-Huxley neuronal network dynamicsYi Sun, Aaditya V. Rangan, Douglas Zhou, David Cai. jcns, 32(1):55-72, 2012. [doi]

2011

Efficient methods for grouping vectors into low-rank clustersAaditya V. Rangan. jcphy, 230(14):5684-5703, 2011. [doi]

2010

Pseudo-Lyapunov exponents and predictability of Hodgkin-Huxley neuronal network dynamicsYi Sun, Douglas Zhou, Aaditya V. Rangan, David Cai. jcns, 28(2):247-266, 2010. [doi]

Spectrum of Lyapunov exponents of non-smooth dynamical systems of integrate-and-fire typeDouglas Zhou, Yi Sun, Aaditya V. Rangan, David Cai. jcns, 28(2):229-245, 2010. [doi]

2009

A large-scale model of the locust antennal lobeMainak Patel, Aaditya V. Rangan, David Cai. jcns, 27(3):553-567, 2009. [doi]

Library-based numerical reduction of the Hodgkin-Huxley neuron for network simulationYi Sun, Douglas Zhou, Aaditya V. Rangan, David Cai. jcns, 27(3):369-390, 2009. [doi]

2007

Numerical methods for solving moment equations in kinetic theory of neuronal network dynamicsAaditya V. Rangan, David Cai, Louis Tao. jcphy, 221(2):781-798, 2007. [doi]

Fast numerical methods for simulating large-scale integrate-and-fire neuronal networksAaditya V. Rangan, David Cai. jcns, 22(1):81-100, 2007. [doi]

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