Neuromorphic engineering is a rapidly developing field that aims to take inspiration from the biological organization of neural systems to develop novel technology for computing, sensing, and actuating. The unique properties of such systems call for new signal processing and control paradigms. The article introduces the mixed feedback organization of excitable neuronal systems, consisting of interlocked positive and negative feedback loops acting in distinct timescales. The principles of biological neuromodulation suggest a methodology for designing and controlling mixed-feedback systems neuromorphically. The proposed design consists of a parallel interconnection of elementary circuit elements that mirrors the organization of biological neurons and utilizes the hardware components of neuromorphic electronic circuits. The interconnection structure endows the neuromorphic systems with a simple control methodology that reframes the neuronal control as an input-output shaping problem. The potential of neuronal control is illustrated on elementary network examples that suggest the scalability of the mixed-feedback principles.
翻译:神经形态工程是一个迅速发展的领域,目的是从神经系统的生物组织中汲取灵感,以开发计算、感测和激活的新技术。这些系统的独特特性要求新的信号处理和控制范式。文章介绍了由不同时间尺度的内联正反反馈环组成的可刺激神经系统混合反馈组织。生物神经调节原则提出了设计和控制混合后背系统神经形态的方法。拟议的设计包括基本电路元素的平行互联,它反映生物神经元的组织和利用神经形态电子电路的硬件组件。互联结构将神经形态系统置于一种简单的控制方法之下,该方法将神经形态控制重新确定为形成输入-输出问题。神经神经形态控制的潜力在基本网络实例中作了说明,其中说明了混合反向原则的可扩展性。