Premembering Experience: A Hierarchy of Time-Scales for Proactive Attention

Nobre, Anna C.; Stokes, Mark G. · 2019 · OpenAlex-citations

DOI: 10.1016/j.neuron.2019.08.030

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Summary

This review article challenges the traditional view of memory as a retrospective record of the past, proposing instead that its primary ecological function is prospective: to anticipate future demands and guide adaptive behavior. The authors introduce the concept of “premembering,” a framework in which memory traces of various types and timescales proactively shape selective attention. Rather than merely storing veridical representations, the brain flexibly selects and distorts mnemonic content to optimize its utility for interacting with incoming sensory signals. This perspective shifts the understanding of memory from a representational account to a functional one, where forward-looking traces are computationally tuned to prioritize relevant information and suppress distractions. The authors organize their argument around a hierarchy of memory timescales that guide attention. At the shortest timescales, transient traces bridge perceptual gaps, such as stitching visual flow across eye movements, while working memory (WM) provides durable templates for top-down attentional control. Intermediate traces, developed over repeated trials within a task setting, include phenomena like contextual cueing, probability cueing, selection history, and reward history. These traces often operate implicitly and involuntarily, facilitating target identification and overcoming distractor interference. At the longest timescales, long-term memory (LTM) provides rich contextual and semantic knowledge. For instance, LTM guides attention in complex scenes through contextual priming and memory-guided orienting, where learned object-scene associations bias visual cortical activity in anticipation of targets. Neural evidence, including fMRI and electrophysiological recordings, demonstrates that these memory traces engage hippocampal and frontoparietal networks to modulate sensory processing proactively. The review highlights that memory-guided attention is not limited to spatial or feature-based biases but also encompasses temporal expectations. Learned temporal regularities allow the brain to prepare for events dynamically, enhancing perceptual sensitivity at predicted times. Furthermore, the authors argue against the simplistic dichotomy of “bottom-up” versus “top-down” attention, suggesting that memory sources are pluralistic and can operate both voluntarily and involuntarily. For example, while LTM often supports voluntary attention, intermediate traces like contextual cueing can capture attention automatically. The content of memory itself is shown to be future-relevant; WM representations are distorted to emphasize task-relevant dimensions, and encoding is biased by anticipated future needs, such as the landing zone of an upcoming saccade. The significance of this framework lies in its integration of memory and attention into a unified, adaptive system. By recognizing that memory traces are inherently prospective, the authors suggest that the brain maintains a hierarchy of mnemonic influences that continuously tune perception and performance. This view has implications for understanding cognitive control, decision-making, and episodic future thinking, as these processes also rely on prior experience to simulate or optimize future outcomes. The authors conclude that treating memory as a single, static source of attentional control is insufficient; instead, future research should explore how diverse memory mechanisms interact, compete, or integrate to support flexible, adaptive behavior in a dynamic environment.

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• prospective memory interruptions