Claims

Behavioral learning curves in a procedural working memory task are better fit by an exponential model than a linear model across five training sessions

Claim · All claims
Evidence · 1 study · associational r1 · q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? Exponential learning curves fit behavioral error-rate data better than linear models across all task conditions in a five-session longitudinal study. → Lena S. Geiger 2024

Evidence

Lena S. Geiger 2024

Lena S. Geiger, Torsten Wüstenberg, Zhenxiang Zang, Mirjam Melzer, Stephanie H. Witt, Marcella Rietschel, Markus M. Nöthen, Stefan Herms, Franziska Degenhardt, Andreas Meyer-Lindenberg & Carolin Moessnang. (2024). Longitudinal markers of cognitive procedural learning in fronto-striatal circuits and putative effects of a BDNF plasticity-related variant. npj Science of Learning. https://doi.org/10.1038/s41539-024-00282-2

q2 · i? · associational · r1

Group-level curve fitting of error rates across sessions s1-s5 of a modified Sternberg task in 23 healthy adults (11 Val, 12 Met carriers), comparing linear and exponential models via likelihood ratio tests. The authors report "asuperiority of the exponential model for all conditions" with strongest evidence in the practiced condition.

"The comparison of models within genotype groups using likelihood ratio tests revealed asuperiority of the exponential model for all conditions, with strongest evidence in thepracticed condition in the Met group (see Table 2)."

Discussion

Page metadata
Field Value
type claim
id exponential-model-behavioral-procedural-learning-curves
title Behavioral learning curves in a procedural working memory task are better fit by an exponential model than a linear model across five training sessions
description Behavioral learning curves in a procedural working memory task are better fit by an exponential model than a linear model across five training sessions
status review
evidence_strength moderate
newest_evidence 2024
generated by process:wiki-ingest on 2026-10-26
trust unverified — no one has confirmed this page's content
sources 1 — lena-s-geiger-2024

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