Adaptation in an a VLSI model of a neuron

Mario F. Simoni; Stephen P. DeWeerth

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Adaptation in an a VLSI model of a neuron

机译：神经元VLSI模型中的适应

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We have designed, fabricated, and tested an analog very large-scale integrated (aVLSI) circuit model of a biological neuron that implements self-adaptation of its parameters. We show that the addition of this self-adaptation to our model neuroncan facilitate: 1) single parameter control over a multiparameter system; 2) stability of the system to fluctuations in parameters; and 3) coordinated modulation of parameters to achieve a desired behavior.

机译：我们设计、制造并测试了生物神经元的模拟超大规模集成（aVLSI）电路模型，该模型实现了其参数的自适应。我们表明，将这种自我适应添加到我们的模型神经元中有助于：1）对多参数系统的单参数控制;2）系统对参数波动的稳定性;3）协调参数调制以实现所需的行为。

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《IEEE Transactions on Automatic Control》 |1999年第7期|967-970|共4页
作者
Mario F. Simoni; Stephen P. DeWeerth;
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正文语种英语
中图分类自动化系统;
关键词
Adaptation; Neuromorphic engineering; Neuron models; Nonlinear systems; Subthreshold MOS design; VLSI;

机译：适配;神经形态工程;神经元模型;非线性系统;亚阈值MOS设计;超大规模集成电路;

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Adaptation in an a VLSI model of a neuron

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