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Research Output 2006 2019

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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

entropy
statistical distributions
physics

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
Pyramidal Cells
Interneurons
Dendrites
Brain

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

Surface Waves
Surface waves
Solitons
Internal Waves
Group Velocity

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
Neurons
Brain

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
Mathematics
Neurosciences
Membrane Potentials
Neurons

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
Dendrites
Neurons
Carisoprodol
Automatic Data Processing

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
Clamping devices
Conductance
dendrites
Dendrites
Voltage

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

entropy
pulses
neurology
interactions
coding

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

Dispersion Relation
nonlinear equations
Nonlinear Equations
Frequency Analysis
Nonlinear Wave Equation

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

Neuronal Network
Small-world Network
Network Dynamics
Small World
Gratings

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

Integration rule
Fast Algorithm
Neurons
Neuron Model
Dendrite

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

Maximum Entropy Principle
recording
entropy
Neuronal Network
Probability Distribution

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

Surface waves
surface waves
Modulation
modulation
Fluids

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

Granger Causality
Vector Autoregression
Regression Model
Prediction Error
Regression Coefficient

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

Inverse problems
Sparsity
Nonlinear Dynamics
Inverse Problem
Nonlinear networks
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

information analysis
Causal Inference
Granger Causality
nonlinear systems
Mutual Information

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

Learning
Neuronal Plasticity
Information Theory
Depression
Neurons

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

Neurons
Haplorhini
Cats
Visual Cortex
Population

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

Neurons
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

Maximum Entropy Principle
Neuronal Network
Entropy
Maximum Entropy
Neurons

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

Neurons
Neurosciences
Population
Electrodes
Calcium

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

Neurons
Interneurons
Cholecystokinin
Automatic Data Processing
Hippocampal CA1 Region
2016
Compressive Sensing
Network Dynamics
Feedforward
Nonlinear Dynamics
Connectivity

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

Visual Perception
Nonlinear Dynamics
Fires
Image processing
Recovery

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

Nonuniform Sampling
Granger Causality
Nonlinear Dynamics
sampling
Causal Inference

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

sampling
pixel
brain
parameter
method

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

linearization
ocean dynamics
plasma physics
nonlinear optics
nonlinear systems
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

Cable
Neurons
Neuron
Cables
Branch

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

Foster Home Care
Food Chain
Gene Regulatory Networks
Cerebral Cortex

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

Small-world Network
decomposition
Decompose
Network Connectivity
Structural Properties
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

Avalanches
Population Dynamics
Noise
Neurons

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

Causality
Artifacts
Nonlinear Dynamics
Linear Models
Neurons

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

neurons
Postsynaptic Potential Summation
Neurons
Pyramidal Cells
dendrites

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

Neurons
Population

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

Causality
Neurons
Fires
neurons
structure-activity relationships

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

Compressive Sensing
Network Dynamics
Recovery
recovery
Output

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

inference
information flow
hazards
topology
sampling

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

Nonequilibrium Steady State
Dispersion Relation
Non-equilibrium
Thermal Equilibrium
Renormalization

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

sensory system
Compressed sensing
network design
sensory neurons
Sensory Receptor Cells
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

pulses
spikes

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

Excitatory Postsynaptic Potentials
Fires
Inhibitory Postsynaptic Potentials
Pyramidal Cells
Carisoprodol
Population Dynamics
Visual Cortex
Population
Optical Imaging
N-Methylaspartate
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

Libraries
Information Services
Action Potentials
Neurons
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

Neuronal Network
Siméon Denis Poisson
Fires
Integrate
Probability density function

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 Analysis

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

Neurons
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

Libraries
Neurons
Membrane Potentials
Action Potentials

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

neurons
dynamical systems
chaos
Largest Lyapunov Exponent
Chaos
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

Crystallization
Phase separation
crystallization
Computer simulation
ethylene
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

Phase Separation
Polymers
polymers
Two-fluid Model
Polymer Solution