High frequency oscillations (HFOs) have been considered as reliable biomarkers for seizure onset zone (SOZ) that may potentially benefit the presurgical evaluation in epilepsy surgery. By applying an automatic technique, we explored the spatial characteristics of ripples (80-250 Hz), fast ripples (250-500 Hz) and spikes using human iEEG data recorded in 5 patients with refractory temporal epilepsy, and related our results to clinician-identified SOZ. Fast ripples, which generally appeared within the spiking regions, reached 100% of specificity when used for SOZ approximation, whereas spikes showed highest sensitivity of 92%. Our results indicate that the information of HFOs and spikes can be fused together to better understand the pathophysiology of the disease. Automatic detectors can be used efficiently to identify different types of neural activities, and thus facilitate the accurate delineation of SOZ.