In this work, BioBolt: a distributed minimally-invasive neural interface for wireless epidural recording has been designed and developed. The main purpose of this work is to optimize the trade-off between the quality of neural information and the invasiveness of the neural interface systems. In order to achieve this goal, the proposed system has introduced several innovations as follows: The signals epidurallay recorded from the surface of dura mater are transmitted through the skin (ISCOM) to the external station. To secure the long-term reliability for chronic monitoring, the whole system will be subcutaneously implanted inside the cranium to eliminate any possible infections from external environments. Furthermore, in contrast with other implantable ECoG systems where the operation of the craniotomy is required, the handiness of the bolt-shaped system concept can differentiate the proposed system from other existing systems by providing the simple and safe operation protocol of implantation and explantation. Extreme low-power analog front-end including a low-noise preamplifier and analog-to-digital converter has been proposed to ensure a robust interface, because the neural potentials are vulnerable to external interference such as drift/offset from the cell-electrode interface and power line noise. With collaboration with Washington University, St. Louis, we successfully performed the in-vivo expereiment with Monkey without the power-line interference. The epidural electrode has been placed on the surface of dura mater of the monkey and the neural activities from sixteen channels were recorded simultaneously as shown in Figure 1.