ArticleFrontiers in integrative neuroscience2014
Shaping the learning curve: epigenetic dynamics in neural plasticity.
Article in Frontiers in integrative neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed, 21 citations in OpenAlex.
- Exploring the epigenetic modifications of the RONS-TRPA1-CGRP axis in migraine pathophysiology.The journal of headache and pain · 2025Review
- Evolutionary transitions in learning and cognition.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Article
- Mirror neurons in the tree of life: mosaic evolution, plasticity and exaptation of sensorimotor matching responses.Biological reviews of the Cambridge Philosophical Society · 2017Review
- Plasticity of Sensorimotor Networks: Multiple Overlapping Mechanisms.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2017Review
- The Transition to Minimal Consciousness through the Evolution of Associative Learning.Frontiers in psychology · 2016Article
- Evolving perceptual biases for antisynchrony: a form of temporal coordination beyond synchrony.Frontiers in neuroscience · 2015Article
- Physiological inputs regulate species-specific anatomy during embryogenesis and regeneration.Communicative & integrative biologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A key characteristic of learning and neural plasticity is state-dependent acquisition dynamics reflected by the non-linear learning curve that links increase in learning with practice. Here we propose that the manner by which epigenetic states of individual cells change during learning contributes to the shape of the neural and behavioral learning curve. We base our suggestion on recent studies showing that epigenetic mechanisms such as DNA methylation, histone acetylation, and RNA-mediated gene regulation are intimately involved in the establishment and maintenance of long-term neural plasticity, reflecting specific learning-histories and influencing future learning. Our model, which is the first to suggest a dynamic molecular account of the shape of the learning curve, leads to several testable predictions regarding the link between epigenetic dynamics at the promoter, gene-network, and neural-network levels. This perspective opens up new avenues for therapeutic interventions in neurological pathologies.
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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.