9 citations · 33 across the 17 of their papers we have counts for
10 papers · 1 filter
Mapping Biological Neuron Dynamics into an Interpretable Two-layer Artificial Neural Network
Jingyang Ma, Songting Li, Douglas Zhou
Dendrites are crucial structures for computation of an individual neuron. It has been shown that the dynamics of a biological neuron with dendrites can be approximated by artificia…
Quantitative relations among causality measures with applications to nonlinear pulse-output network reconstruction
Zhong-qi K. Tian, Kai Chen, Songting Li +2
The causal connectivity of a network is often inferred to understand the network function. It is arguably acknowledged that the inferred causal connectivity relies on causality mea…
Library-based Fast Algorithm for Simulating the Hodgkin-Huxley Neuronal Networks
Zhong-Qi Kyle Tian, Douglas Zhou
We present a modified library-based method for simulating the Hodgkin-Huxley (HH) neuronal networks. By pre-computing a high resolution data library during the interval of an actio…
Design Fast Algorithms For Hodgkin-Huxley Neuronal Networks
Zhong-Qi Kyle Tian, Douglas Zhou
The stiffness of the Hodgkin-Huxley (HH) equations during an action potential (spike) limits the use of large time steps. We observe that the neurons can be evolved independently b…
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…
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…
Emergence of a Balanced Core through Dynamical Competition in Heterogeneous Neuronal Networks
Qing-long L. Gu, Songting Li, Wei P. Dai +2
The balance between excitation and inhibition is crucial for neuronal computation. It is observed that the balanced state of neuronal networks exists in many experiments, yet its u…
A New Framework for Determination of Excitatory and Inhibitory Conductances Using Somatic Clamp
Songting Li, Xiaohui Zhang, Douglas Zhou +1
The interaction between excitation and inhibition is crucial for brain computation. To understand synaptic mechanisms underlying brain function, it is important to separate excitat…
Determination of Effective Synaptic Conductances Using Somatic Voltage Clamp
Songting Li, Nan Liu, Xiaohui Zhang +2
The interplay between excitatory and inhibitory neurons imparts rich functions of the brain. To understand the underlying synaptic mechanisms, a fundamental approach is to study th…