Surprise response as a probe for compressed memory states
Abstract
The limited capacity of recent memory inevitably leads to partial memory of past stimuli. There is also evidence that behavioral and neural responses to novel or rare stimuli are dependent on ones memory of past stimuli. Thus, these responses may serve as a probe of different individuals remembering and forgetting characteristics. Here, we utilize two lossy compression models of stimulus sequences that inherently involve forgetting, which in addition to being a necessity under many conditions, also has theoretical and behavioral advantages. One model is based on a simple stimulus counter and the other on the Information Bottleneck (IB) framework. These models are applied to analyze a novelty-detection event-related potential commonly known as the P300. The trial-by-trial variations of the P300 response, recorded in an auditory oddball paradigm, were subjected to each model to extract two stimulus-compression parameters for each subject: memory length and representation accuracy. These parameters were then utilized to estimate the subjects recent memory capacity limit under the task conditions. The results, along with recently published findings on single neurons on the IB model, underscore how a lossy compression framework can be utilized to account for trial-by-trial variability of neural responses at different spatial scales and in different individuals, while at the same time providing estimates of individual memory characteristics at different levels of representation using a theoretically-based parsimonious model.\n\nAuthor summarySurprise responses reflect expectations based on preceding stimuli representations, and hence can be used to infer the characteristics of memory utilized for a task. We suggest a quantitative method for extracting an individual estimate of effective memory capacity dedicated for a task based on the correspondence between a theoretical surprise model and electrophysiological single-trial surprise responses. We demonstrate this method on EEG responses recorded while participants were performing a simple auditory task; we show the correspondence between the theoretical and physiological surprise, and calculate an estimate of the utilized memory. The generality of this framework allows it to be applied to different EEG features that reflect different modes and levels of the processing hierarchy, as well as other physiological measures of surprise responses. Future studies may use this framework to construct a handy diagnostic tool for a quantitative, individualized characterization of memory-related disorders.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 17
- FWCI
- 1.88
- Field percentile
- top 16%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Optimal forgetting: Semantic compression of episodic memories
Dávid Nagy, Balázs Török, Gergő Orbán·PLoS Computational BiologyPeer-reviewed·Oct 15, 2020
- Brain signatures of surprise in EEG and MEG data
Zahra Mousavi, Mohammad Mahdi Kiani, Hamid K. Aghajan·bioRxiv·Jan 6, 2020
- A compressed code for memory discrimination
Dale Zhou, Sharon Mina Noh, … Aaron M. Bornstein·bioRxiv·Oct 12, 2025
- Surprise gates two distinct mechanisms to support memorability in music
Mathieu Pham Van Cang, Paul Robert, … Luc H. Arnal·bioRxiv·Jul 22, 2026
- Temporal dynamics of competition between statistical learning and episodic memory in intracranial recordings of human visual cortex
Brynn E. Sherman, Kathryn Nicole Graves, … Nicholas B. Turk‐Browne·Journal of NeurosciencePeer-reviewed·Nov 7, 2022
- Neural signatures of compression in the retelling of past events
Elizabeth Musz, Janice Chen·bioRxiv·Sep 21, 2021