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Aaditya V. Rangan
Person information
- affiliation: Courant Institute of Mathematical Sciences, New York University, New York, NY, USA
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2020 – today
- 2023
- [j20]Aaditya V. Rangan
, Caroline C. McGrouther, Nivedita Bhadra
A time-series analysis of blood-based biomarkers within a 25-year longitudinal dolphin cohort. PLoS Comput. Biol. 19(2) (2023) - 2022
- [i2]Aaditya V. Rangan:
Radial-recombination for rigid rotational alignment of images and volumes. CoRR abs/2202.07235 (2022) - [i1]Aaditya V. Rangan, Leslie Greengard:
Robust ab initio solution of the cryo-EM reconstruction problem at low resolution with small data sets. CoRR abs/2209.06420 (2022)
2010 – 2019
- 2019
- [j19]Jiwei Zhang, Yuxiu Shao
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): 211-232 (2019) - 2018
- [j18]Aaditya V. Rangan
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) - 2015
- [j17]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): 355-404 (2015) - 2014
- [j16]Jiwei Zhang, Katherine Newhall
Distribution of correlated spiking events in a population-based approach for Integrate-and-Fire networks. J. Comput. Neurosci. 36(2): 279-295 (2014) - [j15]Jiwei Zhang, Douglas Zhou
A coarse-grained framework for spiking neuronal networks: between homogeneity and synchrony. J. Comput. Neurosci. 37(1): 81-104 (2014) - 2013
- [j14]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: 50 (2013) - [j13]Aaditya V. Rangan, Lai-Sang Young:
Dynamics of spiking neurons: between homogeneity and synchrony. J. Comput. Neurosci. 34(3): 433-460 (2013) - [j12]Aaditya V. Rangan, Lai-Sang Young:
Emergent dynamics in a model of visual cortex. J. Comput. Neurosci. 35(2): 155-167 (2013) - 2012
- [j11]Yi Sun, Aaditya V. Rangan, Douglas Zhou
Coarse-grained event tree analysis for quantifying Hodgkin-Huxley neuronal network dynamics. J. Comput. Neurosci. 32(1): 55-72 (2012) - [j10]Aaditya V. Rangan:
Detecting low-rank clusters via random sampling. J. Comput. Phys. 231(1): 215-222 (2012) - [j9]Aaditya V. Rangan:
A simple filter for detecting low-rank submatrices. J. Comput. Phys. 231(7): 2682-2690 (2012) - [j8]Aaditya V. Rangan:
Functional Roles for Synaptic-Depression within a Model of the Fly Antennal Lobe. PLoS Comput. Biol. 8(8) (2012) - 2011
- [j7]Aaditya V. Rangan:
Efficient methods for grouping vectors into low-rank clusters. J. Comput. Phys. 230(14): 5684-5703 (2011) - 2010
- [j6]Douglas Zhou
Spectrum of Lyapunov exponents of non-smooth dynamical systems of integrate-and-fire type. J. Comput. Neurosci. 28(2): 229-245 (2010) - [j5]Yi Sun, Douglas Zhou
Pseudo-Lyapunov exponents and predictability of Hodgkin-Huxley neuronal network dynamics. J. Comput. Neurosci. 28(2): 247-266 (2010)
2000 – 2009
- 2009
- [j4]Yi Sun, Douglas Zhou
Library-based numerical reduction of the Hodgkin-Huxley neuron for network simulation. J. Comput. Neurosci. 27(3): 369-390 (2009) - [j3]Mainak Patel, Aaditya V. Rangan, David Cai:
A large-scale model of the locust antennal lobe. J. Comput. Neurosci. 27(3): 553-567 (2009) - 2007
- [j2]Aaditya V. Rangan, David Cai:
Fast numerical methods for simulating large-scale integrate-and-fire neuronal networks. J. Comput. Neurosci. 22(1): 81-100 (2007) - [j1]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): 781-798 (2007)
Coauthor Index
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