Aaditya V. Rangan

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 5

Top Topics

Small Data Sets

Biologically Plausible

Spiking Neurons

Top Venues

J. Comput. Neurosci.

PLoS Comput. Biol.

Frontiers Comput. Neurosci.

Publications

Aaditya V. Rangan, Caroline C. McGrouther, Nivedita Bhadra, Stephanie Venn-Watson, Eric D. Jensen, Nicholas J. Schork
A time-series analysis of blood-based biomarkers within a 25-year longitudinal dolphin cohort. PLoS Comput. Biol. 19 (2) (2023)
Aaditya V. Rangan
Radial-recombination for rigid rotational alignment of images and volumes. CoRR (2022)
Aaditya V. Rangan, Leslie Greengard
Robust ab initio solution of the cryo-EM reconstruction problem at low resolution with small data sets. CoRR (2022)
Jiwei Zhang, Yuxiu Shao, Aaditya V. Rangan, Louis Tao
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. 46 (2) (2019)
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
A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data. PLoS Comput. Biol. 14 (5) (2018)
Ji Wei Zhang, Aaditya V. Rangan
A reduction for spiking integrate-and-fire network dynamics ranging from homogeneity to synchrony. J. Comput. Neurosci. 38 (2) (2015)
Jiwei Zhang, Douglas Zhou, David Cai, Aaditya V. Rangan
A coarse-grained framework for spiking neuronal networks: between homogeneity and synchrony. J. Comput. Neurosci. 37 (1) (2014)
Jiwei Zhang, Katherine Newhall, Douglas Zhou, Aaditya V. Rangan
Distribution of correlated spiking events in a population-based approach for Integrate-and-Fire networks. J. Comput. Neurosci. 36 (2) (2014)
Aaditya V. Rangan, Lai-Sang Young
Dynamics of spiking neurons: between homogeneity and synchrony. J. Comput. Neurosci. 34 (3) (2013)
Aaditya V. Rangan, Lai-Sang Young
Emergent dynamics in a model of visual cortex. J. Comput. Neurosci. 35 (2) (2013)
Mainak Patel, Aaditya V. Rangan, David Cai
Coding of odors by temporal binding within a model network of the locust antennal lobe. Frontiers Comput. Neurosci. 7 (2013)
Aaditya V. Rangan
Functional Roles for Synaptic-Depression within a Model of the Fly Antennal Lobe. PLoS Comput. Biol. 8 (8) (2012)
Yi Sun, Aaditya V. Rangan, Douglas Zhou, David Cai
Coarse-grained event tree analysis for quantifying Hodgkin-Huxley neuronal network dynamics. J. Comput. Neurosci. 32 (1) (2012)
Aaditya V. Rangan
A simple filter for detecting low-rank submatrices. J. Comput. Phys. 231 (7) (2012)
Aaditya V. Rangan
Detecting low-rank clusters via random sampling. J. Comput. Phys. 231 (1) (2012)
Aaditya V. Rangan
Efficient methods for grouping vectors into low-rank clusters. J. Comput. Phys. 230 (14) (2011)
Douglas Zhou, Yi Sun, Aaditya V. Rangan, David Cai
Spectrum of Lyapunov exponents of non-smooth dynamical systems of integrate-and-fire type. J. Comput. Neurosci. 28 (2) (2010)
Yi Sun, Douglas Zhou, Aaditya V. Rangan, David Cai
Pseudo-Lyapunov exponents and predictability of Hodgkin-Huxley neuronal network dynamics. J. Comput. Neurosci. 28 (2) (2010)
Yi Sun, Douglas Zhou, Aaditya V. Rangan, David Cai
Library-based numerical reduction of the Hodgkin-Huxley neuron for network simulation. J. Comput. Neurosci. 27 (3) (2009)
Mainak Patel, Aaditya V. Rangan, David Cai
A large-scale model of the locust antennal lobe. J. Comput. Neurosci. 27 (3) (2009)
Aaditya V. Rangan, David Cai
Fast numerical methods for simulating large-scale integrate-and-fire neuronal networks. J. Comput. Neurosci. 22 (1) (2007)
Aaditya V. Rangan, David Cai, Louis Tao
Numerical methods for solving moment equations in kinetic theory of neuronal network dynamics. J. Comput. Phys. 221 (2) (2007)