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Analog VLSI Design of an Adaptive Neuromorphic Chip for Olfactory Systems

机译:用于嗅觉系统的适应性神经芯片的模拟VLSI设计

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In this paper, we present the analog circuit designand implementation of an adaptive neuromorphic olfaction chip. An analog VLSI device with on-chip chemosensor array, on-chip sensor interface circuitry and on-chip learning neuromorphic olfactory model has been fabricated in a single chip using Austria Microsystems 0.6 (mu)m CMOS technology. Drawing inspiration from biological olfactory systems, the neuromorphic analog circuits used to process signals from the on-chip odour sensors make use of temporal "spiking" signals to act as carriers of odour information. An on-chip spike time dependent learning circuit is integrated to dynamically adapt weights for odour detection and classification. All the component subsystems implemented on chip have been successfully tested in silicon.
机译:在本文中,我们介绍了一种自适应神经栓膜的模拟电路设计和实现。具有片上化学传感器阵列的模拟VLSI器件,片上传感器接口电路和片上学习的神经晶体液体模型已经在单一的MicroSystems 0.6(mu)M CMOS技术中在单个芯片中制造了一种单芯片。从生物嗅觉系统中汲取灵感,用于处理来自片上气味传感器的信号的神经形态模拟电路利用时间“尖峰”信号来充当气味信息的载体。片上尖峰时间依赖学习电路被集成,以动态适应气味检测和分类的权重。在芯片上实现的所有组件子系统已在硅中成功测试。

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