Visual working memory (VWM) retains visual information that is no longer physically present, but the format of these representations (more perceptual or more abstract) remains debated. Recent work has shown that when multiple items are held in VWM, semantic information is accessed faster and more accurately than perceptual detail, resembling the reconstructive dynamics observed in episodic long-term memory (LTM) retrieval. This project examines whether this semantic-over-perceptual prioritisation can be dynamically modulated by attentional cues and encoding format.
Testing whether retrocues (directing internal attention to memory items) can preserve high-fidelity perceptual representations.
Comparing simultaneous versus sequential encoding of items in VWM.
Combining behavioral measures, EEG decoding and drift diffusion modeling (DDM) to trace how memory content is reconstructed under different attention conditions.
Bridging working memory and long-term memory theories through a multi-method approach.
Why now?
The format of VWM representations remains an open theoretical question. Sensory recruitment models propose that VWM relies on the same sensory circuits as perception while other accounts suggest its content is reformatted into abstract semantic codes. It remains unclear whether unattended items persist through activity-silent mechanisms or are offloaded into LTM-like reconstructive traces. Recent findings show that semantic prioritisation increases with memory load and retention interval, pointing toward a shift to LTM-like storage, but the underlying attentional and encoding mechanisms have not yet been tested directly.
What for?
Results will clarify how attention transforms the representational format of working memory, reconciling working memory and long-term memory theories under a shared framework. Beyond cognitive theory, findings may inform strategies to improve memory retention under high cognitive load, with potential translational relevance for education, attentional difficulties and eyewitness memory research.
What's novel?
This project is the first to test whether retrocueing can flexibly reshape the balance between semantic and perceptual information in VWM and whether the temporal structure of encoding (simultaneous versus sequential) modulates this trade-off. It integrates behavioral measures, EEG decoding and drift diffusion modeling to trace not only whether attention reshapes memory format but when and how it does so at the neural and computational level.
Where?
The project is led by Dr. Juan Linde-Domingo and Dr. Fabiano Botta at CIMCYC María de Maeztu Unit of Excellence, University of Granada (Memory and Language Research Group, HUM740, and Cognitive Neuroscience Group, HUM379), in collaboration with Casper Kerrén (Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig) and Carlos González-García from CIMCYC María de Maeztu Unit of Excellence, University of Granada (Human Brain & Cognition, HUM957).
This project combines expertise in attention, memory, neural decoding and computational modeling to trace how attentional control reshapes the representational format of visual working memory.
Attention & Retrocue Paradigms
Design and implement the experimental manipulations of attentional prioritisation (retrocues) and encoding format (simultaneous versus sequential presentation) that drive the project's core hypotheses.
Memory & Neural Data Analysis
Apply EEG decoding techniques to track the temporal dynamics of semantic and perceptual reactivation during encoding, retention and retrieval, building on prior work on the reconstructive nature of memory recall.
Theoretical & Methodological Foundations
Provide the conceptual framework linking working memory and long-term memory dynamics, grounded in prior findings on semantic-over-perceptual prioritisation in multi-item memory.
Computational Modeling
Apply DDM and hierarchical Bayesian estimation to decompose behavioral performance into latent decision processes, clarifying the cognitive mechanisms underlying semantic versus perceptual judgments.
Juan Linde-Domingo. E-mail: lindedomingo@ugr.es
Fabiano Botta. E-mail: fabianobotta@ugr.es