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Building blocks for electronic spiking neural networks.

机译:电子加标神经网络的构建块。

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摘要

We present an electronic circuit modelling the spike generation process in the biological neuron. This simple circuit is capable of simulating the spiking behaviour of several different types of biological neurons. At the same time, the circuit is small so that many neurons can be implemented on a single silicon chip. This is important, as neural computation obtains its power not from a single neuron, but from the interaction between a large number of neurons. Circuits that model these interactions are also presented in this paper. They include the circuits for excitatory, inhibitory and shunting inhibitory synapses, a circuit which models the regeneration of spikes on the axon, and a circuit which models the reduction of input strength with the distance of the synapse to the cell body on the dendrite of the cell. Together these building blocks allow the implementation of electronic spiking neural networks.
机译:我们提出了一种在生物神经元中模拟尖峰产生过程的电子电路。这个简单的电路能够模拟几种不同类型的生物神经元的尖峰行为。同时,电路很小,因此可以在单个硅芯片上实现许多神经元。这很重要,因为神经计算不是从单个神经元获得功率,而是从大量神经元之间的相互作用获得功率。本文还介绍了对这些相互作用进行建模的电路。它们包括兴奋性,抑制性和分流性抑制性突触的电路,模拟轴突上尖峰再生的电路,以及模拟突触到突触到树突上细胞体距离的输入强度降低的电路。细胞。这些构建模块一起可以实现电子尖峰神经网络的实现。

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