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A photonic neuromorphic computational primitive for complex high bandwidth signal processing

机译:用于复杂高带宽信号处理的光子神经形态计算基元

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The photonic computational primitive presented in this paper is the first all optical implementation of a spiking leaky integrate and fire (LIF) neuron. Due to its hybrid analog/digital nature it is capable of overcoming both the noise problems of purely analog optical devices and the limited computational capabilities of individual digital optical devices. It is possible to chain together large numbers of these devices, each individually capable of significant computation, to implement far more complex computations on high bandwidth signals than is currently possible. This device represents both a technology capable of scaling the complexity of computations that can be performed on high-bandwidth signals, and a contribution to the nacent field of photonic neuromorphic engineering. This technology applies to a wide range of avionics applications in which data bandwidth is too high or the response delay too short for electronic processing.
机译:本文介绍的光子计算基元是尖峰的泄漏集成和发射(LIF)神经元的第一个全光学实现。由于其混合的模拟/数字特性,它既可以克服纯模拟光学设备的噪声问题,又可以克服单个数字光学设备的有限计算能力。可以将大量的这些设备链接在一起,每个设备分别具有重要的计算能力,以在高带宽信号上实现比当前可能的复杂得多的计算。该设备既代表了能够缩放可对高带宽信号执行的计算复杂度的技术,又代表了对光子神经形态工程的新兴领域的贡献。这项技术适用于广泛的航空电子应用,在这些应用中,数据带宽太高或响应延迟对于电子处理而言太短。

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