82 citations · 254 across the 12 of their papers we have counts for
12 papers
Vision at A Glance: Interplay between Fine and Coarse Information Processing Pathways
Zilong Ji, Xiaolong Zou, Tiejun Huang +1
Object recognition is often viewed as a feedforward, bottom-up process in machine learning, but in real neural systems, object recognition is a complicated process which involves t…
Unsupervised Few-shot Learning via Self-supervised Training
Zilong Ji, Xiaolong Zou, Tiejun Huang +1
Learning from limited exemplars (few-shot learning) is a fundamental, unsolved problem that has been laboriously explored in the machine learning community. However, current few-sh…
Spatiotemporal Information Processing with a Reservoir Decision-making Network
Yuanyuan Mi, Xiaohan Lin, Xiaolong Zou +3
Spatiotemporal information processing is fundamental to brain functions. The present study investigates a canonic neural network model for spatiotemporal pattern recognition. Speci…
A Rich Spectrum of Neural Field Dynamics in the Presence of Short-Term Synaptic Depression
He Wang, Kin Lam, C. C. Alan Fung +2
In continuous attractor neural networks (CANNs), spatially continuous information such as orientation, head direction, and spatial location is represented by Gaussian-like tuning c…
Fluctuation-response Relation Unifies Dynamical Behaviors in Neural Fields
C. C. Alan Fung, K. Y. Michael Wong, Hongzi Mao +1
Anticipation is a strategy used by neural fields to compensate for transmission and processing delays during the tracking of dynamical information, and can be achieved by slow, loc…
Solving the inverse problem of noise-driven dynamic networks
Zhaoyang Zhang, Zhigang Zheng, Haijing Niu +3
Nowadays massive amount of data are available for analysis in natural and social systems. Inferring system structures from the data, i.e., the inverse problem, has become one of th…