Aaditya V. Rangan
Orcid: 0000-0003-1579-7991Affiliations:
- Courant Institute of Mathematical Sciences, New York University, New York, NY, USA
According to our database1,
Aaditya V. Rangan
authored at least 22 papers
between 2007 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on math.nyu.edu
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on orcid.org
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on cims.nyu.edu
On csauthors.net:
Bibliography
2023
A time-series analysis of blood-based biomarkers within a 25-year longitudinal dolphin cohort.
PLoS Comput. Biol., February, 2023
2022
Robust ab initio solution of the cryo-EM reconstruction problem at low resolution with small data sets.
CoRR, 2022
CoRR, 2022
2019
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., 2019
2018
A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data.
PLoS Comput. Biol., 2018
2015
A reduction for spiking integrate-and-fire network dynamics ranging from homogeneity to synchrony.
J. Comput. Neurosci., 2015
2014
A coarse-grained framework for spiking neuronal networks: between homogeneity and synchrony.
J. Comput. Neurosci., 2014
Distribution of correlated spiking events in a population-based approach for Integrate-and-Fire networks.
J. Comput. Neurosci., 2014
2013
J. Comput. Neurosci., 2013
Coding of odors by temporal binding within a model network of the locust antennal lobe.
Frontiers Comput. Neurosci., 2013
2012
PLoS Comput. Biol., 2012
Coarse-grained event tree analysis for quantifying Hodgkin-Huxley neuronal network dynamics.
J. Comput. Neurosci., 2012
2011
J. Comput. Phys., 2011
2010
Spectrum of Lyapunov exponents of non-smooth dynamical systems of integrate-and-fire type.
J. Comput. Neurosci., 2010
Pseudo-Lyapunov exponents and predictability of Hodgkin-Huxley neuronal network dynamics.
J. Comput. Neurosci., 2010
2009
Library-based numerical reduction of the Hodgkin-Huxley neuron for network simulation.
J. Comput. Neurosci., 2009
2007
Numerical methods for solving moment equations in kinetic theory of neuronal network dynamics.
J. Comput. Phys., 2007
Fast numerical methods for simulating large-scale integrate-and-fire neuronal networks.
J. Comput. Neurosci., 2007