In a continuous attractor, the stationary states of the neural system form a continuous parameter space, on which the system is neutrally stable. This property ...
This property enables the neutral system to track time-varying stimulus smoothly. In this study we investigate the tracking speed of continuous attractors. In.
In this work, based on a simple model, we systematically investigate the dynamics and the computational properties of continuous attractors.
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Jan 29, 2008 · Results are obtained on the maximum speed for a moving stimulus to be trackable, and the reaction time to catch up an abrupt change in stimulus.
Si Wu, Kosuke Hamaguchi , Shun-ichi Amari: The Tracking Speed of Continuous Attractors. ISNN (1) 2007: 926-934. manage site settings.
We note that the neural population dynamics, in the unit of a cluster, is extremely fast, which is on the order of τ (1 ∼ 2 ms), much smaller than the membrane ...
Oct 22, 2024 · This study investigates the tracking dynamics of continuous attractor neural networks (CANNs). Due to the translational invariance of neuronal ...
Nov 12, 2013 · A continuous attractor network (or continuous-attractor neural network, CANN) is an attractor network possessing one or more quasicontinuous sets of attractors.
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This study also reveals some interesting behavior in neural population coding, such as the trade-off between decoding stability and the speed of tracking time- ...
Results are obtained on the maximum speed for a moving stimulus to be trackable, and the reaction time to catch up an abrupt change in stimulus.