The term ``neuromorphic'' refers to systems that are closely resembling the
architecture and/or the dynamics of biological neural networks. Typical
examples are novel computer chips designed to mimic the architecture of a
biological brain, or sensors that get inspiration from, e.g., the visual or
olfactory systems in insects and mammals to acquire information about the
environment. This approach is not without ambition as it promises to enable
engineered devices able to reproduce the level of performance observed in
biological organisms -- the main immediate advantage being the efficient use of
scarce resources, which translates into low power requirements. The emphasis on
low power and energy efficiency of neuromorphic devices is a perfect match for
space applications. Spacecraft -- especially miniaturized ones -- have strict
energy constraints as they need to operate in an environment which is scarce
with resources and extremely hostile. In this work we present an overview of
early attempts made to study a neuromorphic approach in a space context at the
European Space Agency's (ESA) Advanced Concepts Team (ACT).

本研究综述了欧洲航天局先进概念团队在空间环境中研究神经形态学方法的早期尝试，旨在构建能够高效利用资源，满足航天器严格能量限制的工程设备。