可以模拟生物神经元的温度敏感动力学的神经形态纳米电子设备对于生物启发机器人技术和诸如计算机神经科学之类的高级应用非常感兴趣。在这项工作中,我们展示了两端V3O5忆阻器件的仿生热敏特性,并展示了它们与热敏生物神经元的放电特性的相似性。基于V3O5的忆阻器的温度相关电特性用于理解简单弛豫振荡器的尖峰响应。然后通过基于电导的神经元模型的数值模拟,将这些振荡器的温度依赖性动力学与生物神经元的动力学进行比较,Morris-Lecar神经元模型.最后,我们展示了一个强大的神经形态热感觉系统,其灵感来自生物热受体,用于生物启发的热感知和表征。这些结果不仅证明了阈值开关忆阻器的生物仿真潜力,而且还将V3O5确立为实现用于神经形态计算和传感应用的固态神经元的功能材料。
Neuromorphic nanoelectronic devices that can emulate the temperature-sensitive dynamics of biological neurons are of great interest for bioinspired robotics and advanced applications such as in silico neuroscience. In this work, we demonstrate the biomimetic thermosensitive properties of two-terminal V3O5 memristive devices and showcase their similarity to the firing characteristics of thermosensitive biological neurons. The temperature-dependent electrical characteristics of V3O5-based memristors are used to understand the spiking response of a simple relaxation oscillator. The temperature-dependent dynamics of these oscillators are then compared with those of biological neurons through numerical simulations of a conductance-based neuron model, the Morris-Lecar neuron model. Finally, we demonstrate a robust neuromorphic thermosensation system inspired by biological thermoreceptors for bioinspired thermal perception and representation. These results not only demonstrate the biorealistic emulative potential of threshold-switching memristors but also establish V3O5 as a functional material for realizing solid-state neurons for neuromorphic computing and sensing applications.