Aaditya V. Rangan

发表

A coarse-graining framework for spiking neuronal networks: from strongly-coupled conductance-based integrate-and-fire neurons to augmented systems of ODEs

Louis Tao, Jiwei Zhang, Yuxiu Shao, 2019, Journal of Computational Neuroscience.

Numerical methods for solving moment equations in kinetic theory of neuronal network dynamics

Louis Tao, Aaditya V. Rangan, David Cai, 2007, J. Comput. Phys..

Large-Scale Computational Modeling of the Primary Visual Cortex

Louis Tao, Aaditya V. Rangan, David Cai, 2009 .

Spectrum of Lyapunov exponents of non-smooth dynamical systems of integrate-and-fire type

Yi Sun, Aaditya V. Rangan, David Cai, 2010, Journal of Computational Neuroscience.

Efficient methods for grouping vectors into low-rank clusters

Aaditya V. Rangan, A. Rangan, 2011, J. Comput. Phys..

Coding of odors by temporal binding within a model network of the locust antennal lobe

Aaditya V. Rangan, Mainak Patel, David Cai, 2013, Front. Comput. Neurosci..

Intrinsic and Network Mechanisms Constrain Neural Synchrony in the Moth Antennal Lobe

Aaditya V. Rangan, Shuifang Zhu, Hong Lei, 2016, Front. Physiol..

A simple filter for detecting low-rank submatrices

Aaditya V. Rangan, 2012, J. Comput. Phys..

A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data

Aaditya V. Rangan, Qian Zhu, Olga G. Troyanskaya, 2018, PLoS Comput. Biol..

Distribution of correlated spiking events in a population-based approach for Integrate-and-Fire networks

Jiwei Zhang, Aaditya V. Rangan, Douglas Zhou, 2014, Journal of Computational Neuroscience.

Neuronal information encoding and reduction of dimension in network dynamics

Aaditya V. Rangan, David W. McLaughlin, Shenou Cai, 2007 .

The evolution of large-scale modeling of monkey primary visual cortex, V1: Steps towards understanding cortical function

Louis Tao, Aaditya V. Rangan, Lai-Sang Young, 2019 .

Library-based numerical reduction of the Hodgkin–Huxley neuron for network simulation

Yi Sun, Aaditya V. Rangan, David Cai, 2009, Journal of Computational Neuroscience.

Pseudo-Lyapunov exponents and predictability of Hodgkin-Huxley neuronal network dynamics

Yi Sun, Aaditya V. Rangan, David Cai, 2010, Journal of Computational Neuroscience.

Detecting low-rank clusters via random sampling

Aaditya V. Rangan, A. Rangan, 2012, J. Comput. Phys..

Dynamics of spiking neurons: between homogeneity and synchrony

Aaditya V. Rangan, Lai-Sang Young, L. Young, 2012, Journal of Computational Neuroscience.

Architectural and functional connectivity in scale-free integrate-and-fire networks

Aaditya V. Rangan, David Cai, Gregor Kovačič, 2009 .

Functional Roles for Synaptic-Depression within a Model of the Fly Antennal Lobe

Aaditya V. Rangan, A. Rangan, 2012, PLoS Comput. Biol..

A reduction for spiking integrate-and-fire network dynamics ranging from homogeneity to synchrony

Jiwei Zhang, Aaditya V. Rangan, 2014, Journal of Computational Neuroscience.

A large-scale model of the locust antennal lobe

Aaditya V. Rangan, Mainak Patel, David Cai, 2009, Journal of Computational Neuroscience.

A coarse-grained framework for spiking neuronal networks: between homogeneity and synchrony

Jiwei Zhang, Aaditya V. Rangan, David Cai, 2014, Journal of Computational Neuroscience.

Fast numerical methods for simulating large-scale integrate-and-fire neuronal networks

Aaditya V. Rangan, David Cai, D. Cai, 2007, Journal of Computational Neuroscience.

Emergent dynamics in a model of visual cortex

Aaditya V. Rangan, Lai-Sang Young, 2013, Journal of Computational Neuroscience.

Coarse-grained event tree analysis for quantifying Hodgkin-Huxley neuronal network dynamics

Yi Sun, Aaditya V. Rangan, David Cai, 2012 .

Spatiotemporal dynamics of neuronal population response in the primary visual cortex

Aaditya V. Rangan, David Cai, Douglas Zhou, 2013, Proceedings of the National Academy of Sciences.

The role of fluctuations in coarse-grained descriptions of neuronal networks

Louis Tao, Aaditya V. Rangan, David Cai, 2012 .

DYNAMICS OF CURRENT-BASED, POISSON DRIVEN, INTEGRATE-AND-FIRE NEURONAL NETWORKS "

Aaditya V. Rangan, P. Kramer, G. Kovačič, 2010 .

Fokker-Planck description of conductance-based integrate-and-fire neuronal networks.

Louis Tao, Aaditya V. Rangan, David Cai, 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

Network-induced chaos in integrate-and-fire neuronal ensembles.

Aaditya V. Rangan, David Cai, Douglas Zhou, 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

Chapter 1 Large-Scale Computational Modeling of the Primary Visual Cortex

Aaditya V. Rangan, G. Kovačič, Louis Tao, 2008 .

Kinetic theory for neuronal networks with fast and slow excitatory conductances driven by the same spike train.

Aaditya V. Rangan, David Cai, Gregor Kovacic, 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

KINETIC THEORY FOR NEURONAL NETWORK DYNAMICS

Louis Tao, Aaditya V. Rangan, David Cai, 2006 .

Aeâáì Kinetic Theory for Neuronal Network Dynamics *

Aaditya V. Rangan, D. McLaughlin, Louis Tao, 2006 .

Numerical Methods for Solving Kinetic Equations of Neuronal Network Dynamics

Aaditya V. Rangan, Louis Tao, D. Cai, 2006 .

Architectural and synaptic mechanisms underlying coherent spontaneous activity in V1.

Aaditya V. Rangan, David Cai, Aaditya V Rangan, 2005, Proceedings of the National Academy of Sciences of the United States of America.

Modeling the spatiotemporal cortical activity associated with the line-motion illusion in primary visual cortex.

Aaditya V. Rangan, David Cai, Aaditya V Rangan, 2005, Proceedings of the National Academy of Sciences of the United States of America.

Ph.D. thesis: Adaptive solvers for partial differential and differential-algebraic equations

Aaditya V. Rangan, 2003 .

Role of the locus coeruleus in the emergence of power law wake bouts in a model of the brainstem sleep-wake system through early infancy.

Aaditya V. Rangan, Mainak Patel, A. Rangan, 2017, Journal of theoretical biology.