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首页> 外文期刊>Biological Cybernetics: Communication and Control in Organisms and Automata: = Nachrichtenubertragung, Nachrichtenverarbeitung, Steuerung und Regelung in Organismen und in Automaten >Coexistence of memory patterns and mixed states in a sparsely encoded associative memory model storing ultrametric patterns
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Coexistence of memory patterns and mixed states in a sparsely encoded associative memory model storing ultrametric patterns

机译：存储超度量模式的稀疏编码关联存储模型中的存储模式和混合状态共存

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Analyzing the coexistence of memory patterns and mixed states gives important information for constructing a model for the face responsive neurons of the monkey inferior-temporal cortex. We analyzed whether the memory patterns coexist with mixed states when the sparse coding scheme is used for the associative memory model storing ultrametric patterns. For memory patterns and mixed states to coexist, there must be sufficient capacity for storing them and their threshold values must be the same. We determined that the storage capacities for all mixed states composed of correlated memory patterns diverge as 1/logf (where f is the firing rate) even when the correlation of the memory patterns is infinitesimally small. We also determined that the memory patterns and the mixed states can become the equilibrium state of the model in the same threshold value. These results mean that they can coexist in this model. These findings should contribute to research on face responsive neurons in the monkey inferior-temporal cortex.
机译：分析记忆模式和混合状态的共存，为构建猴下颞皮的面部反应神经元模型提供重要信息。我们分析了稀疏编码方案用于存储超度模式的关联存储模型时，存储模式是否与混合状态共存。为了使内存模式和混合状态共存，必须有足够的容量来存储它们，并且它们的阈值必须相同。我们确定，即使当存储模式的相关性无限小时，由相关存储模式组成的所有混合状态的存储容量也会以1 / flogf （其中f是触发速率）变化。我们还确定，在相同的阈值下，内存模式和混合状态可以成为模型的平衡状态。这些结果意味着它们可以在该模型中共存。这些发现应有助于研究猴下颞皮层的面部反应神经元。

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