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Research Output

2019

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

Xu, Z. Q. J., Xu, F., Bi, G., Zhou, D. & Cai, D., Jan 1 2019, In : EPL. 126, 3, 38005.

Research output: Contribution to journalArticle

A role for electrotonic coupling between cortical pyramidal cells

Crodelle, J., Zhou, D., Kovačič, G. & Cai, D., May 24 2019, In : Frontiers in Computational Neuroscience. 13, 33.

Research output: Contribution to journalArticle

Open Access

Asymmetric behavior of surface waves induced by an underlying interfacial wave

Jiang, S. W., Kovačič, G. & Zhou, D., Jan 1 2019, In : Communications in Mathematical Sciences. 17, 5, p. 1333-1351 19 p.

Research output: Contribution to journalArticle

Balanced active core in heterogeneous neuronal networks

Gu, Q. L. L., Li, S., Dai, W. P., Zhou, D. & Cai, D., Jan 29 2019, In : Frontiers in Computational Neuroscience. 12, 109.

Research output: Contribution to journalArticle

Open Access

Compressive sensing inference of neuronal network connectivity in balanced neuronal dynamics

Barranca, V. J. & Zhou, D., Jan 1 2019, In : Frontiers in Neuroscience. 13, OCT, 1101.

Research output: Contribution to journalArticle

Open Access

Dendritic computations captured by an effective point neuron model

Li, S., Liu, N., Zhang, X., McLaughlin, D., Zhou, D. & Cai, D., Jul 23 2019, In : Proceedings of the National Academy of Sciences of the United States of America. 116, 30, p. 15244-15252 9 p.

Research output: Contribution to journalArticle

Open Access

Determination of effective synaptic conductances using somatic voltage clamp

Li, S., Liu, N., Yao, L., Zhang, X., Zhou, D. & Cai, D., Mar 1 2019, In : PLoS computational biology. 15, 3, p. e1006871

Research output: Contribution to journalArticle

Open Access

Dynamical and coupling structure of pulse-coupled networks in maximum entropy analysis

Xu, Z. Q. J., Zhou, D. & Cai, D., Jan 1 2019, In : Entropy. 21, 1, 76.

Research output: Contribution to journalArticle

Effective dispersion in the focusing nonlinear Schrödinger equation

Leisman, K. P., Zhou, D., Banks, J. W., Kovačič, G. & Cai, D., Aug 19 2019, In : Physical Review E. 100, 2, 022215.

Research output: Contribution to journalArticle

Emergence of spatially periodic diffusive waves in small-world neuronal networks

Gu, Q. L., Xiao, Y., Li, S. & Zhou, D., Oct 1 2019, In : Physical Review E. 100, 4, 042401.

Research output: Contribution to journalArticle

Fast algorithms for simulation of neuronal dynamics based on the bilinear dendritic integration rule

Dai, W. P., Li, S. & Zhou, D., Jan 1 2019, In : Communications in Mathematical Sciences. 17, 5, p. 1313-1331 19 p.

Research output: Contribution to journalArticle

Maximum entropy principle analysis in network systems with short-time recordings

Xu, Z. Q. J., Crodelle, J., Zhou, D. & Cai, D., Feb 19 2019, In : Physical Review E. 99, 2, 022409.

Research output: Contribution to journalArticle

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

Jiang, S. W., Kovačič, G., Zhou, D. & Cai, D., Sep 25 2019, In : Journal of Fluid Mechanics. 875, p. 807-841 35 p.

Research output: Contribution to journalArticle

Representing conditional Granger causality by vector auto-regressive parameters

Xiao, Y., Li, S. & Zhou, D., Jan 1 2019, In : Communications in Mathematical Sciences. 17, 5, p. 1353-1386 34 p.

Research output: Contribution to journalArticle

The role of sparsity in inverse problems for networks with nonlinear dynamics

Barranca, V. J., Kovačič, G. & Zhou, D., Jan 1 2019, In : Communications in Mathematical Sciences. 17, 5, p. 1291-1311 21 p.

Research output: Contribution to journalArticle

2018

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

Li, S., Xiao, Y., Zhou, D. & Cai, D., May 29 2018, In : Physical Review E. 97, 5, 052216.

Research output: Contribution to journalArticle

Effects of firing variability on network structures with spike-timing-dependent plasticity

Min, B., Zhou, D. & Cai, D., Jan 23 2018, In : Frontiers in Computational Neuroscience. 12, 1.

Research output: Contribution to journalArticle

Mechanisms underlying contrast-dependent orientation selectivity in mouse V1

Dai, W. P., Zhou, D., McLaughlin, D. & Cai, D., Nov 6 2018, In : Proceedings of the National Academy of Sciences of the United States of America. 115, 45, p. 11619-11624 6 p.

Research output: Contribution to journalArticle

The dynamics of balanced spiking neuronal networks under poisson drive is not chaotic

Gu, Q. L. L., Tian, Z. Q. K., Kovačič, G., Zhou, D. & Cai, D., Jun 28 2018, In : Frontiers in Computational Neuroscience. 12, 47.

Research output: Contribution to journalArticle

2017

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

Xu, Z. Q. J., Bi, G., Zhou, D. & Cai, D., 2017, In : Communications in Mathematical Sciences. 15, 3, p. 665-692 28 p.

Research output: Contribution to journalArticle

Spike-triggered regression for synaptic connectivity reconstruction in neuronal networks

Zhang, Y., Xiao, Y., Zhou, D. & Cai, D., Nov 8 2017, In : Frontiers in Computational Neuroscience. 11, 101.

Research output: Contribution to journalArticle

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

Li, S., Xu, J., Chen, G., Lin, L., Zhou, D. & Cai, D., Dec 1 2017, In : Scientific Reports. 7, 1, 5637.

Research output: Contribution to journalArticle

2016

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

Barranca, V. J., Kovačič, G., Zhou, D. & Cai, D., Jan 1 2016, In : Neurocomputing. 171, p. 1313-1322 10 p.

Research output: Contribution to journalArticle

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

Zhang, Y., Xiao, Y., Zhou, D. & Cai, D., Apr 26 2016, In : Physical Review E. 93, 4, 042217.

Research output: Contribution to journalArticle

Improved Compressive Sensing of Natural Scenes Using Localized Random Sampling

Barranca, V. J., Kovacic, G., Zhou, D. & Cai, D., Aug 24 2016, In : Scientific Reports. 6, 31976.

Research output: Contribution to journalArticle

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

Jiang, S. W., Lu, H., Zhou, D. & Cai, D., Aug 1 2016, In : New Journal of Physics. 18, 8, 083028.

Research output: Contribution to journalArticle

2015

Analysis of the dendritic integration of excitatory and inhibitory inputs using cable models

Li, S., Zhou, D. & Cai, D., 2015, In : Communications in Mathematical Sciences. 13, 2, p. 565-575 11 p.

Research output: Contribution to journalArticle

A novel characterization of amalgamated networks in natural systems

Barranca, V. J., Zhou, D. & Cai, D., Jun 2 2015, In : Scientific Reports. 5, 10611.

Research output: Contribution to journalArticle

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

Barranca, V. J., Zhou, D. & Cai, D., Dec 21 2015, In : Physical Review E. 92, 6, 062822.

Research output: Contribution to journalArticle

2014

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

Zhang, J., Zhou, D., Cai, D. & Rangan, A., 2014, In : Journal of Computational Neuroscience. 37, 1, p. 81-104 24 p.

Research output: Contribution to journalArticle

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

Zhou, D., Zhang, Y., Xiao, Y. & Cai, D., Jul 30 2014, In : Frontiers in Computational Neuroscience. 8, JUL, 75.

Research output: Contribution to journalArticle

Bilinearity in Spatiotemporal Integration of Synaptic Inputs

Li, S., Liu, N., Zhang, X. H., Zhou, D. & Cai, D., Dec 1 2014, In : PLoS Computational Biology. 10, 12

Research output: Contribution to journalArticle

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

Zhang, J., Newhall, K., Zhou, D. & Rangan, A., 2014, In : Journal of Computational Neuroscience. 36, 2, p. 279-295 17 p.

Research output: Contribution to journalArticle

Granger causality network reconstruction of conductance-based integrate-and-fire neuronal systems

Zhou, D., Xiao, Y., Zhang, Y., Xu, Z. & Cai, D., Feb 19 2014, In : PLoS One. 9, 2, e87636.

Research output: Contribution to journalArticle

Network dynamics for optimal compressive-sensing input-signal recovery

Barranca, V. J., Kovačič, G., Zhou, D. & Cai, D., Oct 9 2014, In : Physical Review E. 90, 4, 42908.

Research output: Contribution to journalArticle

Reliability of the Granger causality inference

Zhou, D., Zhang, Y., Xiao, Y. & Cai, D., 2014, In : New Journal of Physics. 16, 043016.

Research output: Contribution to journalArticle

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

Jiang, S. X. W., Lu, H. H., Zhou, D. & Cai, D., Sep 30 2014, In : Physical Review E. 90, 3, 032925.

Research output: Contribution to journalArticle

Sparsity and compressed coding in sensory systems

Barranca, V. J., Kovačič, G., Zhou, D. & Cai, D., Aug 1 2014, In : PLoS Computational Biology. 10, 8, p. e1003793

Research output: Contribution to journalArticle

2013

Causal and structural connectivity of pulse-coupled nonlinear networks

Zhou, D., Xiao, Y., Zhang, Y., Xu, Z. & Cai, D., Jul 29 2013, In : Physical Review Letters. 111, 5, 054102.

Research output: Contribution to journalArticle

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

Zhou, D., Li, S., Zhang, X. H. & Cai, D., Jan 15 2013, In : PLoS One. 8, 1, e53508.

Research output: Contribution to journalArticle

2012

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

Sun, Y., Rangan, A., Zhou, D. & Cai, D., Feb 2012, In : Journal of Computational Neuroscience. 32, 1, p. 55-72 18 p.

Research output: Contribution to journalArticle

2010

Dynamics of current-based, poisson driven, integrate-and-fire neuronal networks

Newhall, K. A., Kovačič, G., Kramer, P. R., Zhou, D., Rangan, A. & Cai, D., Jun 2010, In : Communications in Mathematical Sciences. 8, 2, p. 541-600 60 p.

Research output: Contribution to journalArticle

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

Sun, Y., Zhou, D., Rangan, A. & Cai, D., Apr 2010, In : Journal of Computational Neuroscience. 28, 2, p. 247-266 20 p.

Research output: Contribution to journalArticle

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

Zhou, D., Sun, Y., Rangan, A. & Cai, D., Apr 2010, In : Journal of Computational Neuroscience. 28, 2, p. 229-245 17 p.

Research output: Contribution to journalArticle

2009

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

Sun, Y., Zhou, D., Rangan, A. & Cai, D., 2009, In : Journal of Computational Neuroscience. 27, 3, p. 369-390 22 p.

Research output: Contribution to journalArticle

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

Zhou, D., Rangan, A., Sun, Y. & Cai, D., Sep 28 2009, In : Physical Review E. 80, 3, 031918.

Research output: Contribution to journalArticle

2008

Numerical simulation of phase separation coupled with crystallization

Zhou, D., Shi, A. C. & Zhang, P., Oct 31 2008, In : Journal of Chemical Physics. 129, 15, 154901.

Research output: Contribution to journalArticle

2006

Modified models of polymer phase separation

Zhou, D., Zhang, P. & Weinan, E., Jun 19 2006, In : Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 73, 6, 061801.

Research output: Contribution to journalArticle