ArticleTrends in cognitive sciences2022
The challenges of lifelong learning in biological and artificial systems.
Article in Trends in cognitive sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Prewired static visual receptive fields for environment-agnostic perception.Patterns (New York, N.Y.) · 2026Article
- Parallels between human and artificial minds when new learning erases old knowledge.Nature human behaviour · 2026Article
- Humans and neural networks show similar patterns of transfer and interference during continual learning.Nature human behaviour · 2026Article
- Curriculum effects in multitask learning through the lens of contextual inference.Current opinion in neurobiology · 2025Review
- Learning environment-specific learning rates.PLoS computational biology · 2024Article
- The Computational and Neural Bases of Context-Dependent Learning.Annual review of neuroscience · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
How do biological systems learn continuously throughout their lifespans, adapting to change while retaining old knowledge, and how can these principles be applied to artificial learning systems? In this Forum article we outline challenges and strategies of 'lifelong learning' in biological and artificial systems, and argue that a collaborative study of each system's failure modes can benefit both.
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Identifiers
What OpenQuestion holds
Registered trials
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.