Timezone: »
Time delay is pervasive in neural information processing. To achieve real-time tracking, it is critical to compensate the transmission and processing delays in a neural system. In the present study we show that dynamical synapses with short-term depression can enhance the mobility of a continuous attractor network to the extent that the system tracks time-varying stimuli in a timely manner. The state of the network can either track the instantaneous position of a moving stimulus perfectly (with zero-lag) or lead it with an effectively constant time, in agreement with experiments on the head-direction systems in rodents. The parameter regions for delayed, perfect and anticipative tracking correspond to network states that are static, ready-to-move and spontaneously moving, respectively, demonstrating the strong correlation between tracking performance and the intrinsic dynamics of the network. We also find that when the speed of the stimulus coincides with the natural speed of the network state, the delay becomes effectively independent of the stimulus amplitude.
Author Information
C. C. Alan Fung (The Hong Kong University of Science and Technology)
K. Y. Michael Wong (Department of Physics, Hong Kong University of Science and Technology)
Si Wu (Beijing Normal University)
More from the Same Authors
-
2019 Poster: Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently »
Xiao Liu · Xiaolong Zou · Zilong Ji · Gengshuo Tian · Yuanyuan Mi · Tiejun Huang · K. Y. Michael Wong · Si Wu -
2016 Poster: “Congruent” and “Opposite” Neurons: Sisters for Multisensory Integration and Segregation »
Wen-Hao Zhang · He Wang · K. Y. Michael Wong · Si Wu -
2014 Poster: Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks »
Yuanyuan Mi · C. C. Alan Fung · K. Y. Michael Wong · Si Wu -
2014 Poster: A Synaptical Story of Persistent Activity with Graded Lifetime in a Neural System »
Yuanyuan Mi · Luozheng Li · Dahui Wang · Si Wu -
2013 Poster: Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively »
Wen-Hao Zhang · Si Wu -
2012 Spotlight: Delay Compensation with Dynamical Synapses »
C. C. Alan Fung · K. Y. Michael Wong · Si Wu -
2010 Spotlight: Attractor Dynamics with Synaptic Depression »
C. C. Alan Fung · K. Y. Michael Wong · He Wang · Si Wu -
2010 Poster: Attractor Dynamics with Synaptic Depression »
C. C. Alan Fung · K. Y. Michael Wong · He Wang · Si Wu -
2008 Poster: Tracking Changing Stimuli in Continuous Attractor Neural Networks »
Chi Chung Fung · K. Y. Michael Wong · Si Wu
