Method and apparatus for efficient implementation of common neuron models

Certain aspects of the present disclosure support efficient implementation of common neuron models. In an aspect, a first memory layout can be allocated for parameters and state variables of instances of a first neuron model, and a second memory layout different from the first memory layout can be a...

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Hauptverfasser: SARAH ANTHONY, LEVIN JEFFREY ALEXANDER, GEHLHAAR JEFFREY BAGINSKY
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:Certain aspects of the present disclosure support efficient implementation of common neuron models. In an aspect, a first memory layout can be allocated for parameters and state variables of instances of a first neuron model, and a second memory layout different from the first memory layout can be allocated for parameters and state variables of instances of a second neuron model having a different complexity than the first neuron model. 本公开的某些方面支持共用神经元模型的高效实现。在方面,可以为第神经元模型的实例的参数和状态变量分配第存储器布局,并且可为具有不同于第神经元模型的复杂度的第二神经元模型的实例的参数和状态变量分配不同于第存储器布局的第二存储器布局。