A. Rangan

发表

A time-series analysis of blood-based biomarkers within a 25-year longitudinal dolphin cohort

N. Schork, C. McGrouther, Nivedita Bhadra, 2022, bioRxiv.

Detecting boolean asymmetric relationships with a loop counting technique and its implications for analyzing heterogeneity within gene expression datasets

S. Lipton, N. Schork, A. Rangan, 2022, bioRxiv.

Automatic coordinate transformation for two-point boundary value problems

A. Rangan, 2007 .

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

Douglas Zhou, D. Cai, Yi Sun, 2011, Journal of Computational Neuroscience.

Emergent dynamics in a model of visual cortex

L. Young, A. Rangan, 2013, Journal of Computational Neuroscience.

Radial recombination for rigid rotational alignment of images and volumes

A. Rangan, 2022, Inverse Problems.

Dynamics of spiking neurons: between homogeneity and synchrony

L. Young, A. Rangan, 2013, Journal of Computational Neuroscience.

Robust ab initio solution of the cryo-EM reconstruction problem at low resolution with small data sets

L. Greengard, A. Rangan, 2022, ArXiv.

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

Louis Tao, A. Rangan, Jiwei Zhang, 2019, Journal of Computational Neuroscience.

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

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

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.

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

A. Rangan, Ji Wei Zhang, 2015, 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.

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.

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.

A time-series analysis of blood-based biomarkers within a 25-year longitudinal dolphin cohort

N. Schork, E. Jensen, C. McGrouther, 2023, bioRxiv.

Large-Scale Computational Modeling of the Primary Visual Cortex

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

Multi-Scale Modeling of the Primary Visual Cortex

G. Kovačič, D. Cai, A. Rangan, 2008 .

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

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

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.

Blood Vessel Adaptation with Fluctuations in Capillary Flow Distribution

D. Cai, Dan Hu, A. Rangan, 2012, PloS one.

Factorization of the translation kernel for fast rigid image alignment

Alex Barnett, Marina Spivak, Aaditya Rangan, 2019, Inverse Problems.

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

Yi Sun, Aaditya V. Rangan, David Cai, 2009, 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.

A time-series analysis of blood-based biomarkers within a 25-year longitudinal dolphin cohort

N. Schork, E. Jensen, C. McGrouther, 2023, bioRxiv.

Olfactory Encoding Within the Insect Antennal Lobe: The Emergence and Role of Higher Order Temporal Correlations in the Dynamics of Antennal Lobe Spiking Activity.

Mainak Patel, A. Rangan, 2021, Journal of theoretical biology.

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

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

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.

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.

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.

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.

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

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

Maximum-entropy closures for kinetic theories of neuronal network dynamics.

David Cai, Aaditya V Rangan, D. Cai, 2006, Physical review letters.

Dynamics of Sensory Integration of Olfactory and Mechanical Stimuli Within the Response Patterns of Moth Antennal Lobe Neurons.

H. Lei, Mainak Patel, A. Rangan, 2020, Journal of theoretical biology.

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..

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

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

A large-scale model of the locust antennal lobe

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

Exploring the genetic heterogeneity of Alzheimer’s disease: Evidence for disease-relevant and disease-specific clustering

N. Schork, J. Elman, N. Schork, 2023, medRxiv.

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.

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

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

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..

Multiscale modeling of the primary visual cortex

Louis Tao, David Cai, Gregor Kovacic, 2009, IEEE Engineering in Medicine and Biology Magazine.

KINETIC THEORY FOR NEURONAL NETWORK DYNAMICS

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

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

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

Neuronal information encoding and reduction of dimension in network dynamics

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

Dynamics of spiking neurons: between homogeneity and synchrony

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

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.

Diagrammatic expansion of pulse-coupled network dynamics in terms of subnetworks.

Aaditya V Rangan, A. Rangan, 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

Quantifying neuronal network dynamics through coarse-grained event trees

David Cai, Aaditya V Rangan, David W McLaughlin, 2008, Proceedings of the National Academy of Sciences.

A large-scale model of the locust antennal lobe

D. Cai, Mainak Patel, A. Rangan, 2009, Journal of Computational Neuroscience.

Efficient methods for grouping vectors into low-rank clusters

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

Detecting low-rank clusters via random sampling

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

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 .

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

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