A unified framework for advancing array signal processing technology of multichannel microprobe neural recording devices

In this work, we describe a novel framework aimed at enhancing the communication and signal processing technology of microimplanted devices used for recording and stimulating neural cells. The power of the proposed framework stems from providing simple algorithms, yet efficient signal processing power that is suitable for on-chip microprobe design. The framework unifies our previous work on multiresolution analysis and array processing that was aimed at performing typical neural signal processing tasks such as noise suppression, source detection and separation, and information coding. Strategies for optimizing the information transfer have shown to greatly benefit from the optimal array processing mechanisms used and the compression achieved by expressing the data in the multiresolution domain. We demonstrate through simulated and experimental results that the framework provides the basis for simple and practical implementation for today´s biosensor array technology requirements without compromising issues of bandwidth, detection and classification