A winner-take-all spiking network with spiking inputs
A winner-take-all spiking network with spiking inputs
复制标题
具有尖峰输入的赢者通吃尖峰网络
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
Shih
中科院分区：
文献类型：
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作者：
M. Oster;Shih
执行赢者通吃计算的递归网络已经被广泛研究。虽然其中一些研究包括尖峰网络，但它们只考虑模拟输入。我们提出了一个模拟VLSI实现的赢家通吃网络，接收尖峰列车作为输入的结果。我们展示了如何配置网络中的连接，以便在预定数量的输入尖峰之后选择赢家。为了减少晶体管失配对网络工作的影响，我们使用输入尖峰脉冲来补偿这种失配。具有64个集成和激发神经元网络的芯片可以可靠地检测获胜的神经元，即以最短的尖峰间隔接收尖峰的神经元。
Recurrent networks that perform a winner-take-all computation have been studied extensively. Although some of these studies include spiking networks, they consider only analog inputs. We present results from an analog VLSI implementation of a winner-take-all network that receives spike trains as input. We show how we can configure the connectivity in the network so that the winner is selected after a predetermined number of input spikes. To reduce the effect of transistor mismatch on the network operation, we use bursts of input spikes to compensate for this mismatch. The chip with a network of 64 integrate-and-fire neurons can reliably detect the winning neuron, that is, the neuron that receives spikes with the shortest inter-spike interval.