Frequency- and temporal-domain neural competition in analog integrate-and-fire neurochips
Frequency- and temporal-domain neural competition in analog integrate-and-fire neurochips
复制标题
模拟集成发射神经芯片中的频域和时域神经竞争
DOI：
10.1109/ijcnn.2002.1007689
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发表时间：
2002
期刊：
影响因子：
--
通讯作者：
Y. Amemiya
中科院分区：
文献类型：
--
作者：
T. Asai;Y. Amemiya
我们提出了一种在模拟芯片上实现的抑制神经网络，其神经元在频域和时间域上相互竞争。每个神经元的电路被设计成在时间上产生形状相同的脉冲序列，称为尖峰脉冲。实验和仿真结果表明，该网络比基于放电频率更有效地实现了基于尖峰定时的神经回路的选择性激活和失活。结果表明，基于神经电路尖峰时序的神经处理为克服模拟器件在噪声环境下的低容差问题提供了一条可能的途径。
We present an inhibitory neural network implemented on analog CMOS chips, whose neurons compete with each other in the frequency and time domains. The circuit for each neuron was designed to produce sequences in time of identically shaped pulses, called spikes. The results of experiments and simulations revealed that the network more efficiently achieved the selective activation and inactivation of the neural circuits on the basis of spike timing than on the basis of firing rates. The results indicate that neural processing based on the spike timing of neural circuits provides a possible way to overcome the low-tolerance problems of analog devices in noisy environments.