48 citations · 105 across the 6 of their papers we have counts for
6 papers
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…
Spontaneous Motion on Two-dimensional Continuous Attractors
C. C. Alan Fung, S. -I. Amari
Attractor models are simplified models used to describe the dynamics of firing rate profiles of a pool of neurons. The firing rate profile, or the neuronal activity, is thought to…
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…
Resolution enhancement in neural networks with dynamical synapses
C. C. Alan Fung, He Wang, Kin Lam +2
Conventionally, information is represented by spike rates in the neural system. Here, we consider the ability of temporally modulated activities in neuronal networks to carry infor…
Dynamical Synapses Enhance Neural Information Processing: Gracefulness, Accuracy and Mobility
C. C. Alan Fung, K. Y. Michael Wong, He Wang +1
Experimental data have revealed that neuronal connection efficacy exhibits two forms of short-term plasticity, namely, short-term depression (STD) and short-term facilitation (STF)…
Dynamics of Neural Networks with Continuous Attractors
C. C. Alan Fung, K. Y. Michael Wong, Si Wu
We investigate the dynamics of continuous attractor neural networks (CANNs). Due to the translational invariance of their neuronal interactions, CANNs can hold a continuous family…