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Context-sensitive associative memory: 'residual excitation' in neural networks as the mechanism of STM and mental set

机译:上下文相关联想记忆:神经网络中的“剩余激发”作为STM和思维定势的机制

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Most of the currently popular neural models of associative memory ignore nontrivial temporal processes in neural elements. Such nontemporal models describe interesting effects of spatial cooperation but do not address the problem of temporal coordination and temporal context. Effects such as temporal association, short-term memory, and mental set can be represented naturally in neural models by introducing states of residual excitation (E-states) in the neural elements. One such model illustrating the E-state concept is discussed.
机译:当前大多数流行的联想记忆神经模型都忽略了神经元中非平凡的时间过程。这样的非时间模型描述了空间合作的有趣效果,但是没有解决时间协调和时间背景的问题。通过在神经元中引入残余激发状态(E状态),可以在神经模型中自然地表示诸如时间联想,短期记忆和心理状态等效应。讨论了一种说明E状态概念的模型。

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