AWAKE (PID2023-151104NA-I00) is a research project designed to challenge a long-standing assumption in memory science: that the best way to retrieve a memory is to recreate the conditions in which it was originally formed. For decades, the encoding specificityprinciple has dominated our understanding of memory retrieval. But recent findings—including our own work—suggest this view may be too static for such a dynamic system.
In our recent paper, “Evolving Engrams Demand Changes in Effective Cues” (Linde-Domingo & Kerrén, 2025), we propose a new framework: the Dynamic-Cueing Hypothesis. This approach argues that the most effective way to retrieve a memory is not to match how it was first encoded, but to align with how the memory exists now—in its current, possibly transformed, representational state. Over time, episodic memories often shift from detailed perceptual traces to more abstract, conceptually-driven formats. As a result, cues that once worked well may lose their effectiveness, while new, more generalized cues may become better triggers for recall.
AWAKE uses this insight to guide empirical studies combining behavioral testing, EEG, eye-tracking, and fMRI. The goal is to map how memory representations evolve, and how different types of cues—ranging from highly specific to more schematic—affect reactivation success at various stages of memory transformation. By modeling how “awakened” memories differ depending on their cue-target alignment, AWAKE aims to develop a more accurate theory of memory retrieval with potential applications in education, aging, and clinical populations with memory deficits.
In short, AWAKE invites us to rethink what it means to remember—not as a static replay of the past, but as a flexible reconstruction shaped by time, context, and the cues we use to reach into our minds.
More info soon
dear thalamus, we have a situation here
Acknowledgments
This project is supported by the Spanish Ministry of Science and Innovation (MCIN/AEI/10.13039/501100011033) through the project PID2023-151104NA-I00.