A perovskite retinomorphic sensor
A perovskite retinomorphic sensor
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DOI：
10.1063/5.0030097
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发表时间：
2020-12-07
影响因子：
4
通讯作者：
Labram, John G.
中科院分区：
文献类型：
--
作者：
Herrera, Cinthya Trujillo;Labram, John G.
神经形态计算旨在执行机器学习任务时优于传统计算机，是人类大脑的某些方面在硬件中复制的原理。虽然近年来在这一领域取得了很大的进展，但几乎所有提供给神经形态处理器的输入信号仍然是为传统的（冯·诺依曼）计算机体系结构设计的。在这里，我们表明，一个简单的光敏电容器将固有地复制生物视网膜的某些方面。我们发现，基于金属卤化物钙钛矿的电容器将响应于入射光强度的变化而输出短暂的电压尖峰，但在恒定照明下输出零电压。这种传感器不仅针对尖峰神经形态处理器进行了优化，而且预计将在光检测和测距、自动驾驶汽车、简易识别、导航和机器人等领域具有广泛的吸引力。
Designed to outperform conventional computers when performing machine-learning tasks, neuromorphic computation is the principle whereby certain aspects of the human brain are replicated in hardware. While great progress has been made in this field in recent years, almost all input signals provided to neuromorphic processors are still designed for traditional (von Neumann) computer architectures. Here, we show that a simple photosensitive capacitor will inherently reproduce certain aspects of biological retinas. We found that capacitors based on metal halide perovskites will output a brief voltage spike in response to changes in incident light intensity, but output zero voltage under constant illumination. Such a sensor is not only optimized for use with spiking neuromorphic processors but also anticipated to have broad appeal from fields such as light detection and ranging, autonomous vehicles, facile recognition, navigation, and robotics.