Fast numerical methods for simulating large-scale integrate-and-fire neuronal networks. - Aaditya V. Rangan; David Cai (J. Comput. Neurosci., 2007)

Numerical methods for solving moment equations in kinetic theory of neuronal network dynamics. - Aaditya V. Rangan; David Cai; Louis Tao (J. Comput. Phys., 2007)

A large-scale model of the locust antennal lobe. - Mainak Patel; Aaditya V. Rangan; David Cai (J. Comput. Neurosci., 2009)

Library-based numerical reduction of the Hodgkin-Huxley neuron for network simulation. - Yi Sun; Douglas Zhou; Aaditya V. Rangan; David Cai (J. Comput. Neurosci., 2009)

Pseudo-Lyapunov exponents and predictability of Hodgkin-Huxley neuronal network dynamics. - Yi Sun; Douglas Zhou; Aaditya V. Rangan; David Cai (J. Comput. Neurosci., 2010)

Spectrum of Lyapunov exponents of non-smooth dynamical systems of integrate-and-fire type. - Douglas Zhou; Yi Sun; Aaditya V. Rangan; David Cai (J. Comput. Neurosci., 2010)

Efficient methods for grouping vectors into low-rank clusters. - Aaditya V. Rangan (J. Comput. Phys., 2011)

Coarse-grained event tree analysis for quantifying Hodgkin-Huxley neuronal network dynamics. - Yi Sun; Aaditya V. Rangan; Douglas Zhou; David Cai (J. Comput. Neurosci., 2012)

Detecting low-rank clusters via random sampling. - Aaditya V. Rangan (J. Comput. Phys., 2012)

A simple filter for detecting low-rank submatrices. - Aaditya V. Rangan (J. Comput. Phys., 2012)

Functional Roles for Synaptic-Depression within a Model of the Fly Antennal Lobe. - Aaditya V. Rangan (PLoS Comput. Biol., 2012)

Coding of odors by temporal binding within a model network of the locust antennal lobe. - Mainak Patel; Aaditya V. Rangan; David Cai (Frontiers Comput. Neurosci., 2013)

Dynamics of spiking neurons: between homogeneity and synchrony. - Aaditya V. Rangan; Lai-Sang Young (J. Comput. Neurosci., 2013)

Emergent dynamics in a model of visual cortex. - Aaditya V. Rangan; Lai-Sang Young (J. Comput. Neurosci., 2013)

Distribution of correlated spiking events in a population-based approach for Integrate-and-Fire networks. - Jiwei Zhang 002; Katherine Newhall; Douglas Zhou; Aaditya V. Rangan (J. Comput. Neurosci., 2014)

A coarse-grained framework for spiking neuronal networks: between homogeneity and synchrony. - Jiwei Zhang 002; Douglas Zhou; David Cai; Aaditya V. Rangan (J. Comput. Neurosci., 2014)

A reduction for spiking integrate-and-fire network dynamics ranging from homogeneity to synchrony. - Ji Wei Zhang 002; Aaditya V. Rangan (J. Comput. Neurosci., 2015)

A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data. - Aaditya V. Rangan; Caroline C. McGrouther; John Kelsoe; Nicholas J. Schork; Eli Stahl; Qian Zhu 005; Arjun Krishnan; Vicky Yao; Olga G. Troyanskaya; Seda Bilaloglu; Preeti Raghavan; Sarah Bergen; et al. (PLoS Comput. Biol., 2018)

A coarse-graining framework for spiking neuronal networks: from strongly-coupled conductance-based integrate-and-fire neurons to augmented systems of ODEs. - Jiwei Zhang 002; Yuxiu Shao; Aaditya V. Rangan; Louis Tao (J. Comput. Neurosci., 2019)

Radial-recombination for rigid rotational alignment of images and volumes. - Aaditya V. Rangan (CoRR, 2022)

Robust ab initio solution of the cryo-EM reconstruction problem at low resolution with small data sets. - Aaditya V. Rangan; Leslie Greengard (CoRR, 2022)

A time-series analysis of blood-based biomarkers within a 25-year longitudinal dolphin cohort. - Aaditya V. Rangan; Caroline C. McGrouther; Nivedita Bhadra; Stephanie Venn-Watson; Eric D. Jensen; Nicholas J. Schork (PLoS Comput. Biol., 2023)