All the evidence we have so far unanimously supports the reverse reconstruction view. This evidence comes from electrophysiological recordings, functional magnetic resonance imaging (fMRI), and various behavioural measures of memory performance in healthy human participants, as well as from intracranial electrophysiological recordings in epileptic patients. We have so far conducted 5 full behavioural experiments (>200 participants), 2 EEG studies, one simultaneous EEG-fMRI study, and have recorded 14 patients using the basic version of the STREAM memory reconstruction task. A very promising and clear picture is emerging from the work in this project, and has until now been published in 2 empirical papers and 1 review, as well as 14 conference contributions. A first milestone paper from the STREAM project was recently published in Nature Communications (Linde-Domingo et al., 2019), and covered the findings from our first 3 experiments. Using a novel reaction time paradigm and sophisticated pattern classification of EEG data, we demonstrate that when participants recall objects from long-term memory, high-level abstract information can be classified more rapidly than lower-level visual detail, while the opposite gradient is observed when participants visually perceive the same objects (as expected given the vision literature). The reversed reconstruction pattern was robustly observed in behavioural reaction times as well as neural activity patterns, strongly suggesting that memory recall prioritizes abstract-conceptual over detailed-perceptual information. We have replicated and extended this basic finding several times in the meantime, and presented the results at various international conferences. The second empirical paper (Kerrén et al., 2018) again provides evidence for a reversal of the information flow between perception and memory, demonstrating that the mnemonic patterns that are reactivated during memory recall rhythmically wax and wane along a slow oscillation, and that the content of a memory can be decoded at the opposite phase of this oscillation, compared with decoding of current perceptual inputs. This fundamental finding suggests that the human brain uses slow oscillations to separate in time the incoming perceptual from internally reactivated mnemonic information, a prediction made from animal and computational models of memory. We discuss some of these core findings and assumptions of STREAM in a review paper that was recently accepted for publication in Trends in Cognitive Sciences (Staresina & Wimber, in press). The data from several other experiments are still in the analysis or write-up stage, and first results have been presented at international conferences.