9 papers
Design Efficient Exponential Time Differencing method For Hodgkin-Huxley Neural Networks
Zhong-Qi Kyle Tian, Douglas Zhou
The exponential time differencing (ETD) method allows using a large time step to efficiently evolve the stiff system such as Hodgkin-Huxley (HH) neural networks. For pulse-coupled…
Network Mechanism for Insect Olfaction
Pamela B Pyzza, Katherine A Newhall, Douglas Zhou +2
Early olfactory pathway responses to the presentation of an odor exhibit remarkably similar dynamical behavior across phyla from insects to mammals, and frequently involve transiti…
Asymmetric behavior of surface waves induced by an underlying interfacial wave
Shixiao W. Jiang, Gregor Kovačič, Douglas Zhou
We develop a weakly nonlinear model to study the spatiotemporal manifestation and the dynamical behavior of surface waves in the presence of an underlying interfacial solitary wave…
Modulation-resonance mechanism for surface waves in a two-layer fluid system
Shixiao W. Jiang, Gregor Kovačič, Douglas Zhou +1
We propose a Boussinesq-type model to study the surface/interfacial wave manifestation of an underlying, slowly-varying, long-wavelength, baroclinic flow in a two-layer, density-st…
Digital System Reconstruction by Pairwise Transfer Entropy
Zhong-Qi Kyle Tian, Douglas Zhou, David Cai
Transfer entropy (TE) is an attractive model-free method to detect causality and infer structural connectivity of general digital systems. However it relies on high dimensions used…
Swift Two-sample Test on High-dimensional Neural Spiking Data
Zhi-Qin John Xu, Douglas Zhou, David Cai
To understand how neural networks process information, it is important to investigate how neural network dynamics varies with respect to different stimuli. One challenging task is…