D. Cai

发表

Reliability of the Granger causality inference

Douglas Zhou, Yaoyu Zhang, Yanyang Xiao, 2014 .

An effective kinetic representation of fluctuation-driven neuronal networks with application to simple and complex cells in visual cortex.

M. Shelley, D. McLaughlin, Louis Tao, 2004, Proceedings of the National Academy of Sciences of the United States of America.

A mathematical framework for quantifying predictability through relative entropy

Andrew J. Majda, David Cai, Richard Kleeman, 2002 .

Network mechanism for insect olfaction

Pamela B. Pyzza, G. Kovačič, Douglas Zhou, 2019, Cognitive Neurodynamics.

Mechanisms underlying contrast-dependent orientation selectivity in mouse V1

Wei P. Dai, D. McLaughlin, Douglas Zhou, 2018, Proceedings of the National Academy of Sciences.

Granger Causality Network Reconstruction of Conductance-Based Integrate-and-Fire Neuronal Systems

Zhi-Qin John Xu, Douglas Zhou, Yaoyu Zhang, 2014, PloS one.

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 .

Topological effects on dynamics in complex pulse-coupled networks of integrate-and-fire type.

G. Kovačič, D. Cai, M. Shkarayev, 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

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 .

Orientation selectivity in visual cortex by fluctuation-controlled criticality

Louis Tao, David Cai, Michael J. Shelley, 2006, Proceedings of the National Academy of Sciences.

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.

Compressive sensing reconstruction of feed-forward connectivity in pulse-coupled nonlinear networks.

Victor J. Barranca, Douglas Zhou, D. Cai, 2016, Physical review. E.

Causal inference in nonlinear systems: Granger causality versus time-delayed mutual information.

David Cai, Douglas Zhou, Yanyang Xiao, 2018, Physical review. E.

Bilinearity in Spatiotemporal Integration of Synaptic Inputs

Xiaohui Zhang, Nan Liu, David Cai, 2014, PLoS Comput. Biol..

A New Framework for Determination of Excitatory and Inhibitory Conductances Using Somatic Clamp

Douglas Zhou, D. Cai, Songting Li, 2017, 1710.05113.

The characterization of hippocampal theta-driving neurons — a time-delayed mutual information approach

Guifen Chen, Longnian Lin, Douglas Zhou, 2017, Scientific Reports.

Phenomenological Incorporation of Nonlinear Dendritic Integration Using Integrate-and-Fire Neuronal Frameworks

David Cai, Douglas Zhou, Songting Li, 2013, PloS one.

QUANTIFYING PREDICTABILITY IN A SIMPLE MODEL WITH COMPLEX FEATURES

A. Majda, D. Cai, K. Haven, 2004 .

Emergence of a Balanced Core through Dynamical Competition in Heterogeneous Neuronal Networks

Wei P. Dai, Douglas Zhou, D. Cai, 2017, 1710.05201.

Swift Two-sample Test on High-dimensional Neural Spiking Data.

Douglas Zhou, D. Cai, Z. Xu, 2018, 1811.12314.

An optimization principle for initiation and adaptation of biological transport networks

David Cai, D. Cai, Dan Hu, 2019, Communications in Mathematical Sciences.

Statistical physics approaches to neuronal network dynamics.

Louis Tao, D. Cai, L. Tao, 2011, Sheng li xue bao : [Acta physiologica Sinica].

Granger causality analysis with nonuniform sampling and its application to pulse-coupled nonlinear dynamics.

Douglas Zhou, Yaoyu Zhang, Yanyang Xiao, 2016, Physical review. E.

Digital System Reconstruction by Pairwise Transfer Entropy.

Douglas Zhou, D. Cai, Z. Tian, 2019, 1905.03972.

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

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

A dynamical state underlying the second order maximum entropy principle in neuronal networks

Zhi-Qin John Xu, G. Bi, Douglas Zhou, 2017 .

Network mechanism for insect olfaction

Pamela B. Pyzza, G. Kovačič, Douglas Zhou, 2021, Cognitive Neurodynamics.

Sparsity and Compressed Coding in Sensory Systems

David Cai, Douglas Zhou, Gregor Kovacic, 2014, PLoS Comput. Biol..

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

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

Dendritic computations captured by an effective point neuron model

David Cai, Douglas Zhou, Nan Liu, 2019, Proceedings of the National Academy of Sciences.

Determination of effective synaptic conductances using somatic voltage clamp

Xiaohui Zhang, Li Yao, David Cai, 2017, PLoS Comput. Biol..

ANALYSIS OF THE DENDRITIC INTEGRATION OF EXCITATORY AND INHIBITORY INPUTS USING CABLE MODELS

David Cai, Douglas Zhou, Songting Li, 2015 .

Theoretical analysis of reverse-time correlation for idealized orientation tuning dynamics

Louis Tao, David Cai, Michael J. Shelley, 2008, Journal of Computational Neuroscience.

Maximum Entropy Principle Analysis in Network Systems with Short-time Recordings

Zhi-Qin John Xu, David Cai, Jennifer Crodelle, 2018, Physical review. E.

Dynamical and Coupling Structure of Pulse-Coupled Networks in Maximum Entropy Analysis

Zhi-Qin John Xu, David Cai, Douglas Zhou, 2018, Entropy.

Spike-Triggered Regression for Synaptic Connectivity Reconstruction in Neuronal Networks

David Cai, Douglas Zhou, Yaoyu Zhang, 2017, Front. Comput. Neurosci..

Multiscale modeling of the primary visual cortex

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

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 .

Low-rank network decomposition reveals structural characteristics of small-world networks.

David Cai, Douglas Zhou, Victor J. Barranca, 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.

A Novel Characterization of Amalgamated Networks in Natural Systems

David Cai, Douglas Zhou, Victor J. Barranca, 2015, Scientific Reports.

Blood Vessel Adaptation with Fluctuations in Capillary Flow Distribution

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

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.

The extended Granger causality analysis for Hodgkin-Huxley neuronal models.

David Cai, Douglas Zhou, Hong Cheng, 2020, Chaos.

Haemodynamics-Driven Developmental Pruning of Brain Vasculature in Zebrafish

Chun Li, David Cai, Chun Xing Li, 2012, PLoS biology.

Adaptation and optimization of biological transport networks.

Dan Hu, David Cai, D. Cai, 2013, Physical review letters.

An embedded network approach for scale-up of fluctuation-driven systems with preservation of spike information.

Louis Tao, David Cai, David W McLaughlin, 2004, Proceedings of the National Academy of Sciences of the United States of America.

Improved Compressive Sensing of Natural Scenes Using Localized Random Sampling

David Cai, Douglas Zhou, Gregor Kovačič, 2016, Scientific Reports.

Dispersive wave turbulence in one dimension

Andrew J. Majda, David Cai, Esteban G. Tabak, 2001 .

Chapter 12 The nonlinear Schrödinger equation as both a PDE and a dynamical system

David Cai, David W. McLaughlin, D. McLaughlin, 2002 .

Generation of dispersion in nondispersive nonlinear waves in thermal equilibrium

G. Kovačič, D. Cai, Wonjung Lee, 2013, Proceedings of the National Academy of Sciences.

Dynamics of the exponential integrate-and-fire model with slow currents and adaptation

David Cai, Gregor Kovacic, Maxim S. Shkarayev, 2014, Journal of Computational Neuroscience.

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.

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..

A large-scale model of the locust antennal lobe

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

Modulation-resonance mechanism for surface waves in a two-layer fluid system

Shixiao W. Jiang, G. Kovačič, Douglas Zhou, 2019, Journal of Fluid Mechanics.

A fast algorithm for the simulation of arterial pulse waves

Dan Hu, David Cai, Tao Du, 2016, J. Comput. Phys..

Neural networks of different species, brain areas and states can be characterized by the probability polling state

Chengyu Li, David Cai, Douglas Zhou, 2020, The European journal of neuroscience.

Balanced Active Core in Heterogeneous Neuronal Networks

David Cai, Douglas Zhou, Qing-long L. Gu, 2019, Front. Comput. Neurosci..

Interactions of renormalized waves in thermalized Fermi-Pasta-Ulam chains.

D. Cai, B. Gershgorin, Y. Lvov, 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

A Role for Electrotonic Coupling Between Cortical Pyramidal Cells

David Cai, Jennifer Crodelle, Douglas Zhou, 2019, Front. Comput. Neurosci..

Causal and structural connectivity of pulse-coupled nonlinear networks.

David Cai, Douglas Zhou, Zhi-Qin John Xu, 2013, Physical review letters.

Improved effective linearization of nonlinear Schrödinger waves by increasing nonlinearity

G. Kovačič, Douglas Zhou, D. Cai, 2019, Physical Review Research.

Effective dispersion in the focusing nonlinear Schrödinger equation.

G. Kovačič, Douglas Zhou, D. Cai, 2019, Physical review. E.

Stochastic linearization of turbulent dynamics of dispersive waves in equilibrium and non-equilibrium state

Shixiao W. Jiang, Douglas Zhou, D. Cai, 2016 .

The Dynamics of Balanced Spiking Neuronal Networks Under Poisson Drive Is Not Chaotic

David Cai, Douglas Zhou, Gregor Kovacic, 2018, Front. Comput. Neurosci..

Cascade-induced synchrony in stochastically driven neuronal networks.

David Cai, Gregor Kovačič, Katherine A Newhall, 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

Synchrony in stochastically driven neuronal networks with complex topologies.

David Cai, Gregor Kovačič, Maxim S Shkarayev, 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.

Renormalized waves and discrete breathers in Beta-Fermi-Pasta-Ulam chains.

D. Cai, B. Gershgorin, Y. Lvov, 2005, Physical review letters.

Renormalized dispersion relations of β-Fermi-Pasta-Ulam chains in equilibrium and nonequilibrium states.

Douglas Zhou, D. Cai, Shi-xiao W Jiang, 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

Outflow Boundary Conditions for Blood Flow in Arterial Trees

David Cai, Tao Du, D. Cai, 2015, PloS one.

Spectral bifurcations in dispersive wave turbulence.

A J Majda, A. Majda, E. Tabak, 1999, Proceedings of the National Academy of Sciences of the United States of America.

Efficient image processing via compressive sensing of integrate-and-fire neuronal network dynamics

David Cai, Douglas Zhou, Gregor Kovacic, 2016, Neurocomputing.

Analysis of sampling artifacts on the Granger causality analysis for topology extraction of neuronal dynamics

David Cai, Douglas Zhou, Yaoyu Zhang, 2014, Front. Comput. Neurosci..

Computational modeling of the dynamics of simple and complex cells in primary visual cortex.

David Cai, Louis Tao, D. Cai, 2011, Sheng li xue bao : [Acta physiologica Sinica].

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

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

Effects of Firing Variability on Network Structures with Spike-Timing-Dependent Plasticity

David Cai, Douglas Zhou, Bin Min, 2018, Front. Comput. Neurosci..

Theoretical analysis of reverse-time correlation for idealized orientation tuning dynamics

M. Shelley, G. Kovačič, D. Cai, 2008, Journal of Computational Neuroscience.

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.

Bistability and Tunable Gating in a Recurrent Neuronal Network with Synaptic Failure and Hidden Neurons

M. Shelley, D. Cai, L. Tao, 2002 .

A cautionary tale of entropic criteria in assessing the validity of the maximum entropy principle

Fang Xu, Zhi-Qin John Xu, David Cai, 2019, EPL (Europhysics Letters).

Renormalized resonance quartets in dispersive wave turbulence.

G. Kovačič, D. Cai, Wonjung Lee, 2009, Physical review letters.

Network dynamics for optimal compressive-sensing input-signal recovery.

David Cai, Douglas Zhou, Gregor Kovačič, 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

SPATIOTEMPORAL CHAOS AND EFFECTIVE STOCHASTIC DYNAMICS FOR A NEAR-INTEGRABLE NONLINEAR SYSTEM

D. McLaughlin, J. Shatah, D. Cai, 1999 .

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

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

Chaotic and turbulent behavior of unstable one-dimensional nonlinear dispersive waves

David Cai, David W. McLaughlin, D. McLaughlin, 2000 .

Multiple states of intrinsic localized modes

Yuri S. Kivshar, Alan R. Champneys, Alan R. Bishop, 1998 .