Evidence map›Paper›PMID 42642522›Full record

ArticleBiological cybernetics2026

A power-law tailed movement created by trajectory retracing.

Tomoko Sakiyama

Abstract read
PubMed Publisher
In one paragraph

Article in Biological cybernetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Tomoko SakiyamaDepartment of Information Systems Science, Faculty of Science and Engineering, Soka University, 1 Chome-236 Tangimachi, Hachioji, Tokyo, 192-8577, Japan. sakiyama@soka.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tracing specific trajectories allows a walker to revisit previous locations. However, how such local memory-based rules influence large-scale movement patterns remains unclear. In this paper, we propose a single walker model that explores a two-dimensional lattice field and uses a limited directional memory that causes the walker to revisit previously encountered positions while sometimes maintaining long persistent movements. Simulation experiments reveal that our model exhibits a Lévy walk pattern through retracing based on recently experienced movement directions. Importantly, diffusiveness is likely to decrease if the memory length of walkers increases, suggesting that the walker can generate complex movement patterns using a limited directional memory.

Indexed as

MemoryModels, BiologicalAnimalsComputer SimulationHumansMovementLévy walksMemorySelf-attracting walksSelf-avoiding walks

Identifiers

PMID42642522

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.