Department of Physics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, TN, India.
Centre for Functional Materials, Vellore Institute of Technology, Vellore, TN, India.
Nanoscale. 2024 Oct 10;16(39):18597-18608. doi: 10.1039/d4nr02673j.
Optoelectronic synaptic devices outperform electrical synapses in speed, energy efficiency, and integration density. Recent progress in visual sensing and optogenetics has led to the integration of light-sensitive materials in these devices, promising unmatched speed, connectivity, and bandwidth. Here, we present a copper phthalocyanine (CuPc) based optoelectronic synaptic device boasting femto Joule power consumption stable at room temperature. The optoelectronic synapse can be operated with energy consumption as low as 430.4 fJ which is very attractive from the point of view of low-power neuromorphic devices. By modulating light pulses, the neuromorphic behavior can be emulated including excitatory post-synaptic current (EPSC), paired-pulse facilitation (PPF), transitioning from short-term plasticity (STP) to long-term plasticity (LTP), spike-rate dependent plasticity (SRDP) and spike-number dependent plasticity (SNDP), . Optical potentiation and electrical depression are observed with combined optical and electrical stimulation, proving the multi-functionality of the synapse. Furthermore, the device demonstrates classical associative learning behaviors like Pavlovian conditioning using optical and electrical stimuli. We have established the pain conditioning processes such as hyperalgesic response and pain extinction effects with varying optical pulse amplitudes. These results render the CuPc-based devices as multifunctional and highly versatile artificial synaptic devices for future computing applications, offering unprecedented efficiency and functionality in neuromorphic systems.
光电突触器件在速度、能量效率和集成密度方面优于电突触。最近在视觉感应和光遗传学方面的进展导致了光敏材料在这些器件中的集成,有望实现无与伦比的速度、连接性和带宽。在这里,我们展示了一种基于铜酞菁(CuPc)的光电突触器件,其功率消耗仅为飞焦级别,在室温下稳定。该光电突触的能耗可低至 430.4 fJ,这对于低功耗神经形态器件来说非常有吸引力。通过调制光脉冲,可以模拟神经形态行为,包括兴奋性突触后电流(EPSC)、成对脉冲易化(PPF)、从短期可塑性(STP)到长期可塑性(LTP)的转变、脉冲率依赖性可塑性(SRDP)和脉冲数依赖性可塑性(SNDP)。通过光和电刺激的结合观察到光增强和电抑制,证明了突触的多功能性。此外,该器件还展示了使用光和电刺激的经典联想学习行为,如巴甫洛夫条件反射。我们已经建立了不同光脉冲幅度的疼痛条件反射过程,如痛觉过敏反应和疼痛消退效应。这些结果表明,基于 CuPc 的器件可作为多功能、高度通用的人工突触器件,用于未来的计算应用,在神经形态系统中提供前所未有的效率和功能。