aagreed upon by TEC and Supplier for the purchase of Product identified in Exhibit A. 由技术和供应商同意为在展览辨认的产品购买A。 [translate] aIn this paper, firstly, artificial neural network are briefly introduced the characteristics, working principle, neuron model. Secondly, the Hopfield ...
We consider a family of models, which generalizes the Hopfield model of neural networks, and can be solved likewise. This family contains palimpsestic schemes, which give memories that behave in a similar way as a working (short-term) memory. The replica method leads to a simple formalism ...
athe purchase of Product identified 在展览辨认的产品购买A。 [translate] aIn this paper, firstly, artificial neural network are briefly introduced the characteristics, working principle, neuron model. Secondly, the Hopfield neural network algorithm were discussed, a detailed analysis of the two kinds ...
Hopfield, J. J. Neural networks and physical systems with emergent collective computational abilities. Proc. Natl. Acad. Sci. USA 79, 2554–2558 (1982). Article CAS Google Scholar Amit, D. J. & Brunel, N. Learning internal representations in an attractor neural network with analogue neurons...
The dynamic nature of human working memory, the general-purpose system for processing continuous input, while keeping no longer externally available information active in the background, is well captured in immediate free recall of supraspan word-lists.
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...
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。[...