Three Artificial Spintronic Leaky Integrate-and-Fire Neurons
Three Artificial Spintronic Leaky Integrate-and-Fire Neurons
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DOI：
10.1142/s2010324720400032
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发表时间：
2020-06
期刊：
影响因子：
1.8
通讯作者：
Wesley H. Brigner;Xuan Hu;Naimul Hassan;L. Jiang-Wei;C. Bennett;F. García-Sánchez;Otitoaleke G. Akinola;M. Pasquale;M. Marinella;J. Incorvia;J. Friedman
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文献类型：
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作者：
Wesley H. Brigner;Xuan Hu;Naimul Hassan;L. Jiang-Wei;C. Bennett;F. García-Sánchez;Otitoaleke G. Akinola;M. Pasquale;M. Marinella;J. Incorvia;J. Friedman
由于其非易失性和固有的电流积分能力，依赖于通过自由铁磁轨道的磁畴壁(DW)运动的自旋电子器件在神经形态计算领域引起了极大的兴趣。虽然已经提出了一些这样的装置，但它们需要使用外部电路来实现几个重要的神经元行为。因此，它们可能导致能源效率降低、制造复杂性增加，甚至两者兼而有之。为了解决这个问题，我们提出了三个独立的神经元，它们能够在不使用任何外部电路的情况下执行这些功能。为了实现泄漏，第一个神经元使用偶极耦合场，第二个神经元使用各向异性梯度，第三个神经元使用DW磁道的形状变化。
Due to their nonvolatility and intrinsic current integration capabilities, spintronic devices that rely on domain wall (DW) motion through a free ferromagnetic track have garnered significant interest in the field of neuromorphic computing. Although a number of such devices have already been proposed, they require the use of external circuitry to implement several important neuronal behaviors. As such, they are likely to result in either a decrease in energy efficiency, an increase in fabrication complexity, or even both. To resolve this issue, we have proposed three individual neurons that are capable of performing these functionalities without the use of any external circuitry. To implement leaking, the first neuron uses a dipolar coupling field, the second uses an anisotropy gradient and the third uses shape variations of the DW track.