41 citations · 104 across the 13 of their papers we have counts for
13 papers
Cell-type-specific synaptic motifs generate coupled mean-variability dynamics in recurrent neural networks
Meiyi Zhang, Jinjian Yu, Louis Tao +1
Synaptic-resolution network connectomics has revealed that brain circuits feature fine-scale structural connectivity, such as pairs of correlated synaptic couplings known as second…
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…
Space-variant Shack-Hartmann wavefront sensing based on affine transformation estimation
Fan Feng, Chen Liang, Dongdong Chen +7
The space-variant wavefront reconstruction problem inherently exists in deep tissue imaging. In this paper,we propose a framework of Shack-Hartmann wavefront space-variant sensing…
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…
The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware
Alpha Renner, Forrest Sheldon, Anatoly Zlotnik +2
The capabilities of natural neural systems have inspired new generations of machine learning algorithms as well as neuromorphic very large-scale integrated (VLSI) circuits capable…
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…
A Pulse-Gated, Predictive Neural Circuit
Yuxiu Shao, Andrew T. Sornborger, Louis Tao
Recent evidence suggests that neural information is encoded in packets and may be flexibly routed from region to region. We have hypothesized that neural circuits are split into su…
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…
Graded, Dynamically Routable Information Processing with Synfire-Gated Synfire Chains
Zhou Wang, Andrew T Sornborger, Louis Tao
Coherent neural spiking and local field potentials are believed to be signatures of the binding and transfer of information in the brain. Coherent activity has now been measured ex…
A Unified Framework for Information Coding: Oscillations, Memory, and Zombie Modes
Andrew T. Sornborger, Louis Tao
Synchronous neural activity can improve neural processing and is believed to mediate neuronal interaction by providing temporal windows during which information is more easily tran…
Exact, Dynamically Routable Current Propagation in Pulse-Gated Synfire Chains
Andrew T. Sornborger, Louis Tao
Neural oscillations can enhance feature recognition, modulate interactions between neurons, and improve learning and memory. Simulational studies have shown that coherent oscillati…
Lacunarity of Random Fractals
Francisco J. Solis, Louis Tao
We discuss properties of random fractals by means of a set of numbers that characterize their universal properties. This set is the generalized singularity specturm that consists o…