Stability of chronic multichannel neural recordings: Implications for a long-term neural interface

Abstract Chronic multichannel neural recording has emerged as a powerful technique for studying dynamic brain function. In many experimental paradigms, it is important that the same neurons be recorded from day to day. The objective of this study was to develop methods for tracking the recorded neural population over time through analysis of unit waveforms, principle component clusters and response properties of single units and multiunit clusters. We demonstrate that these techniques can be used to provide a useful measure of unit stability over extended recording periods.