The Neuropharmacology of Implicit Learning
Overview
Affiliations
Two decades of pharmacologic research on the human capacity to implicitly acquire knowledge as well as cognitive skills and procedures have yielded surprisingly few conclusive insights. We review the empirical literature of the neuropharmacology of implicit learning. We evaluate the findings in the context of relevant computational models related to neurotransmittors such as dopamine, serotonin, acetylcholine and noradrenalin. These include models for reinforcement learning, sequence production, and categorization. We conclude, based on the reviewed literature, that one can predict improved implicit acquisition by moderately elevated dopamine levels and impaired implicit acquisition by moderately decreased dopamine levels. These effects are most prominent in the dorsal striatum. This is supported by a range of behavioral tasks in the empirical literature. Similar predictions can be made for serotonin, although there is yet a lack of support in the literature for serotonin involvement in classical implicit learning tasks. There is currently a lack of evidence for a role of the noradrenergic and cholinergic systems in implicit and related forms of learning. GABA modulators, including benzodiazepines, seem to affect implicit learning in a complex manner and further research is needed. Finally, we identify allosteric AMPA receptors modulators as a potentially interesting target for future investigation of the neuropharmacology of procedural and implicit learning.
Unconscious associative learning with conscious cues.
Alamia A, Orban de Xivry J, San Anton E, Olivier E, Cleeremans A, Zenon A Neurosci Conscious. 2018; 2016(1):niw016.
PMID: 30397511 PMC: 6210405. DOI: 10.1093/nc/niw016.
The role of the dorsoanterior striatum in implicit motivation: the case of the need for power.
Schultheiss O, Schiepe-Tiska A Front Hum Neurosci. 2013; 7:141.
PMID: 23626531 PMC: 3630322. DOI: 10.3389/fnhum.2013.00141.
Ettinger U, Corr P, Mofidi A, Williams S, Kumari V Front Hum Neurosci. 2013; 7:130.
PMID: 23596404 PMC: 3626071. DOI: 10.3389/fnhum.2013.00130.
Pan L, Vockley J Curr Genet Med Rep. 2013; 1(1):65-70.
PMID: 23525354 PMC: 3603703. DOI: 10.1007/s40142-012-0004-0.