The discipline of neural engineering is working to enhance the functional and stability lifespan of present implanted
neuroelectronic interfaces by developing next-generation interfaces employing biologically-derived and biologically-inspired
materials. Humans and robots may exchange information using input devices like keyboards and touchscreens. Future information
sharing may be facilitated through neural interfaces that provide a more direct electric connection between digital (man-made) systems
and analog nerve systems. This paper presents the history and development of electronic brain interface; and classifies and analyzes
the interfaces into four generations based on the technical landmarks within the electronic sensor interface and its evolution, including
the patch clamp method, integrated neural interfaces, wearable or implantable neural interfaces, and multi-based neural interfaces. In
this paper, we also discuss the potential presented by cutting-edge technology and critical system and circuit problems in the neural
interface model.