ADAGE 发表于 2025-3-25 05:06:26
http://reply.papertrans.cn/67/6637/663693/663693_21.pngSynthesize 发表于 2025-3-25 09:10:33
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http://reply.papertrans.cn/67/6637/663693/663693_25.pngMeditate 发表于 2025-3-26 03:17:48
Stability of the random neural network model,odelling inhibitory and excitatory signals. They are summed at the input of each neuron and constitute its signal potential. The state of each neuron in this model is its signal potential, while the network state is the vector of signal potentials at each neuron. If its potential is positive, a neurIRS 发表于 2025-3-26 07:12:38
Temporal pattern recognition using EBPS,eference to some simple examples of Temporal Pattern Recognition..It is shown that this network can learn features which are invariant under translation in time and that no temporal alignment of the inputs is required. The main concern of this paper is that the constraining of weights in full recurr袖章 发表于 2025-3-26 10:51:35
,The “moving targets” training algorithm, with arbitrary feedback. The algorithm resembles back-propagation in that an error function is minimized using a gradient-based method, but the optimization is carried out in the hidden part of state space either instead of, or in addition to weight space. A straightforward adaptation of this methoHUMID 发表于 2025-3-26 13:33:49
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