Aaditya V. Rangan

23 papers Journal 23
YearRankTypeTitle / Venue / Authors
2025 J jnl
Detecting Boolean Asymmetric Relationships With a Loop Counting Technique and its Implications for Analyzing Heterogeneity Within Gene Expression Datasets.
IEEE Trans. Comput. Biol. Bioinform.
Haosheng Zhou, Wei Lin, Sergio R. Labra, Stuart A. Lipton, Jeremy A. Elman, Nicholas J. Schork, Aaditya V. Rangan
2023 J jnl
A time-series analysis of blood-based biomarkers within a 25-year longitudinal dolphin cohort.
PLoS Comput. Biol.
Aaditya V. Rangan, Caroline C. McGrouther, Nivedita Bhadra, Stephanie Venn-Watson, Eric D. Jensen, Nicholas J. Schork
2022 J jnl
Radial-recombination for rigid rotational alignment of images and volumes.
CoRR
Aaditya V. Rangan
2022 J jnl
Robust ab initio solution of the cryo-EM reconstruction problem at low resolution with small data sets.
CoRR
Aaditya V. Rangan, Leslie Greengard
2019 J jnl
A coarse-graining framework for spiking neuronal networks: from strongly-coupled conductance-based integrate-and-fire neurons to augmented systems of ODEs.
J. Comput. Neurosci.
Jiwei Zhang, Yuxiu Shao, Aaditya V. Rangan, Louis Tao
2018 J jnl
A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data.
PLoS Comput. Biol.
Aaditya V. Rangan, Caroline C. McGrouther, John Kelsoe, Nicholas J. Schork, Eli Stahl, Qian Zhu, Arjun Krishnan, Vicky Yao, Olga G. Troyanskaya, Seda Bilaloglu, Preeti Raghavan, Sarah Bergen, Anders Juréus, Mikael Landen
2015 J jnl
A reduction for spiking integrate-and-fire network dynamics ranging from homogeneity to synchrony.
J. Comput. Neurosci.
Ji Wei Zhang, Aaditya V. Rangan
2014 J jnl
A coarse-grained framework for spiking neuronal networks: between homogeneity and synchrony.
J. Comput. Neurosci.
Jiwei Zhang, Douglas Zhou, David Cai, Aaditya V. Rangan
2014 J jnl
Distribution of correlated spiking events in a population-based approach for Integrate-and-Fire networks.
J. Comput. Neurosci.
Jiwei Zhang, Katherine Newhall, Douglas Zhou, Aaditya V. Rangan
2013 J jnl
Coding of odors by temporal binding within a model network of the locust antennal lobe.
Frontiers Comput. Neurosci.
Mainak Patel, Aaditya V. Rangan, David Cai
2013 J jnl
Dynamics of spiking neurons: between homogeneity and synchrony.
J. Comput. Neurosci.
Aaditya V. Rangan, Lai-Sang Young
2013 J jnl
Emergent dynamics in a model of visual cortex.
J. Comput. Neurosci.
Aaditya V. Rangan, Lai-Sang Young
2012 J jnl
A simple filter for detecting low-rank submatrices.
J. Comput. Phys.
Aaditya V. Rangan
2012 J jnl
Coarse-grained event tree analysis for quantifying Hodgkin-Huxley neuronal network dynamics.
J. Comput. Neurosci.
Yi Sun, Aaditya V. Rangan, Douglas Zhou, David Cai
2012 J jnl
Detecting low-rank clusters via random sampling.
J. Comput. Phys.
Aaditya V. Rangan
2012 J jnl
Functional Roles for Synaptic-Depression within a Model of the Fly Antennal Lobe.
PLoS Comput. Biol.
Aaditya V. Rangan
2011 J jnl
Efficient methods for grouping vectors into low-rank clusters.
J. Comput. Phys.
Aaditya V. Rangan
2010 J jnl
Pseudo-Lyapunov exponents and predictability of Hodgkin-Huxley neuronal network dynamics.
J. Comput. Neurosci.
Yi Sun, Douglas Zhou, Aaditya V. Rangan, David Cai
2010 J jnl
Spectrum of Lyapunov exponents of non-smooth dynamical systems of integrate-and-fire type.
J. Comput. Neurosci.
Douglas Zhou, Yi Sun, Aaditya V. Rangan, David Cai
2009 J jnl
A large-scale model of the locust antennal lobe.
J. Comput. Neurosci.
Mainak Patel, Aaditya V. Rangan, David Cai
2009 J jnl
Library-based numerical reduction of the Hodgkin-Huxley neuron for network simulation.
J. Comput. Neurosci.
Yi Sun, Douglas Zhou, Aaditya V. Rangan, David Cai
2007 J jnl
Fast numerical methods for simulating large-scale integrate-and-fire neuronal networks.
J. Comput. Neurosci.
Aaditya V. Rangan, David Cai
2007 J jnl
Numerical methods for solving moment equations in kinetic theory of neuronal network dynamics.
J. Comput. Phys.
Aaditya V. Rangan, David Cai, Louis Tao