Temporal filtering is a signal processing technique used to isolate specific frequency components of a time-varying signal by applying filters that allow certain frequencies to pass while attenuating others. It is crucial in fields like neuroscience and audio engineering for removing noise and extracting meaningful patterns from temporal data.