aThe proposed algorithm employs a continuous Hopfield network for optimizing the prediction error,resulting in a dynamical system that,under suitable assumptions,converges towards the parameter values. 提出的算法使用一个连续的Hopfield网络为优选预言错误,造成,在适当的假定外,聚合往参数值的一个动力学系统。[...
aThe proposed algorithm employs a continuous Hopfield network for optimizing the prediction error,resulting in a dynamical system that,under suitable assumptions,converges towards the parameter values. 提出的算法使用一个连续的Hopfield网络为优选预言错误,造成,在适当的假定外,聚合往参数值的一个动力学系统。[...
Spike-driven synaptic dynamics generating working memory states - Amit, Mongillo - 2003 () Citation Context ...r, for example, the Hopfield model of associative memory (Hopfield, 1982), which has been subsequently considerably elaborated as a model of working memory (Amit & Tsodyks, 1991; ...
Working Principle of DC Motor (animation of elementary model) 王维or摁哪呢· 2023-4-7 611304:48 Five-Stage Team Building Model (Updated) maturemansun· 2020-4-20 490009:26 Working with a Hopfield neural network model - Part I houshanshan· 2020-6-19 933010:16 workingmodel抛体运动动画制作...
Persistent activity relies on the activity of a distributed network of areas, but the differential contribution of each area remains unclear. We recorded single neurons in the human medial frontal cortex and medial temporal lobe while subjects held up to three items in memory. We found persistently...