Distributed Memory and Loss of Retrieval Connections: Why Two People Can Recall Together What Neither Recalls Alone

This conceptual paper introduces Distributed Memory and Loss of Retrieval Connections, a structural account of how complementary cues held by different people make a shared history accessible through interaction. Removing the connection can make parts of that history inaccessible even when individuals retain what they previously held. The account compares what each person recalls alone with what the arrangement retrieves together and traces specific connections between cues and memories. Collaborative recall can improve retrieval or interfere with it. Any advantage requires evidence of complementary material and effective retrieval routes; remembering together does not guarantee better recall. The discussion connects the mechanism to Wegner, Erber, and Raymond’s work on transactive memory and examines Harris and colleagues’ study of older married couples. The study reports both collaborative facilitation and inhibition, alongside conversations in which one spouse’s cue prompted the other’s recall. Its fixed testing order limits causal conclusions from overall score differences. Part of the Shared Capacity and Learning series within On Human Modeling, the paper distinguishes individual retention from access sustained through relationships. Its framework can inform human–AI research on complementary memory support, retrieval dependencies, and what becomes inaccessible when a supporting connection is removed.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-11
DOI
https://doi.org/10.5281/zenodo.24134627
Primary Topic
Memory Processes and Influences
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Distributed Memory and Loss of Retrieval Connections: Why Two People Can Recall Together What Neither Recalls Alone

Alexandra Cary
Zenodo (CERN European Organization for Nuclear Research)
Memory Processes and Influences
article

Distributed Memory and Loss of Retrieval Connections: Why Two People Can Recall Together What Neither Recalls Alone

Alexandra Cary
article en

Abstract

This conceptual paper introduces Distributed Memory and Loss of Retrieval Connections, a structural account of how complementary cues held by different people make a shared history accessible through interaction. Removing the connection can make parts of that history inaccessible even when individuals retain what they previously held. The account compares what each person recalls alone with what the arrangement retrieves together and traces specific connections between cues and memories. Collaborative recall can improve retrieval or interfere with it. Any advantage requires evidence of complementary material and effective retrieval routes; remembering together does not guarantee better recall. The discussion connects the mechanism to Wegner, Erber, and Raymond’s work on transactive memory and examines Harris and colleagues’ study of older married couples. The study reports both collaborative facilitation and inhibition, alongside conversations in which one spouse’s cue prompted the other’s recall. Its fixed testing order limits causal conclusions from overall score differences. Part of the Shared Capacity and Learning series within On Human Modeling, the paper distinguishes individual retention from access sustained through relationships. Its framework can inform human–AI research on complementary memory support, retrieval dependencies, and what becomes inaccessible when a supporting connection is removed.

Zenodo (CERN European Organization for Nuclear Research)
Memory Processes and Influences
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon