13 citations · 37 across the 11 of their papers we have counts for
11 papers
Diffusion learning reveals viable parameter manifolds and compensation geometry in biological dynamical systems
Ruilin Zhang, Louis Tao, Zhuo-Cheng Xiao
Models of complex systems often have many parameters, yet are constrained by far fewer experimentally accessible observables; consequently, similar activity can emerge from coordin…
Mostly-monocular responses and other visual functions in a multiscale network model of Macaque V1
Zhuo-Cheng Xiao, Kevin K. Lin, Lai-Sang Young
Visual signals from the two eyes merge gradually as they pass through the primary visual cortex (V1). Here we use a computational model of Macaque V1 to study the first stage of th…
Numerical analysis for leaky-integrate-fire networks under Euler-Maruyama
Xu'an Dou, Frank Chen, Kevin K Lin +1
Leaky integrate-and-fire (LIF) networks are standard reduced models for spike-based neural dynamics and a natural substrate for neuromorphic computation. We study time-driven Euler…
Finite-state Markovian surrogates for long-time neuronal state distributions and firing rates
Zhongyi Wang, Louis Tao, Zhuo-Cheng Xiao
Spiking neuronal networks connect cellular and synaptic mechanisms to collective activity, but estimating their long-time statistics often requires costly spike-by-spike simulation…
Minimizing information loss reduces spiking neuronal networks to differential equations
Jie Chang, Zhuoran Li, Zhongyi Wang +2
Spiking neuronal networks (SNNs) are widely used in computational neuroscience, from biologically realistic modeling of local cortical networks to phenomenological modeling of the…
Learning biological neuronal networks with artificial neural networks: neural oscillations
Ruilin Zhang, Zhongyi Wang, Tianyi Wu +4
First-principles-based modelings have been extremely successful in providing crucial insights and predictions for complex biological functions and phenomena. However, they can be h…
Multi-band oscillations emerge from a simple spiking network
Tianyi Wu, Yuhang Cai, Ruilin Zhang +3
In the brain, coherent neuronal activities often appear simultaneously in multiple frequency bands, e.g., as combinations of alpha (8-12 Hz), beta (12.5-30 Hz), gamma (30-120 Hz) o…
A data-informed mean-field approach to mapping of cortical parameter landscapes
Zhuo-Cheng Xiao, Kevin K. Lin, Lai-Sang Young
Constraining the many biological parameters that govern cortical dynamics is computationally and conceptually difficult because of the curse of dimensionality. This paper addresses…
Model Reduction Captures Stochastic Gamma Oscillations on Low-Dimensional Manifolds
Yuhang Cai, Tianyi Wu, Louis Tao +1
Gamma frequency oscillations (25-140 Hz), observed in the neural activities within many brain regions, have long been regarded as a physiological basis underlying many brain functi…
Cusps Enable Line Attractors for Neural Computation
Zhuocheng Xiao, Jiwei Zhang, Andrew T. Sornborger +1
Line attractors in neuronal networks have been suggested to be the basis of many brain functions, such as working memory, oculomotor control, head movement, locomotion, and sensory…
A Fokker-Planck approach to graded information propagation in pulse-gated feedforward neuronal networks
Cong Wang, Zhuocheng Xiao, Zhou Wang +2
Information transmission is a key element for information processing in the brain. A number of mechanisms have been proposed for transferring volleys of spikes between layers of a…