Episodic memory performance is the result of distinct mental processes, such as learning, memory maintenance, and emotional modulation of memory strength. Such processes can be effectively dissociated using computational models. Here we performed gene set enrichment analyses of model parameters estimated from the episodic memory performance of 1,765 healthy young adults. We report robust and replicated associations of the amine compound SLC (solute-carrier) transporters gene set with the learning rate, of the collagen formation and transmembrane receptor protein tyrosine kinase activity gene sets with the modulation of memory strength by negative emotional arousal, and of the L1 cell adhesion molecule (L1CAM) interactions gene set with the repetition-based memory improvement. Furthermore, in a large functional MRI sample of 795 subjects we found that the association between L1CAM interactions and memory maintenance revealed large clusters of differences in brain activity in frontal cortical areas. Our findings provide converging evidence that distinct genetic profiles underlie specific mental processes of human episodic memory. They also provide empirical support to previous theoretical and neurobiological studies linking specific neuromodulators to the learning rate and linking neural cell adhesion molecules to memory maintenance. Furthermore, our study suggests additional memory-related genetic pathways, which may contribute to a better understanding of the neurobiology of human memory.learning and memory | computational model | gene set enrichment analysis | functional neuroimaging | frontal lobe H uman memory is a highly heritable and complex trait that is the outcome of numerous neurocognitive processes (1, 2). Although many genetic variations associated with human memory performance have been identified (3-9), most were based on general memory scores, such as the number of recalled items. Such scores may serve as good correlates of overall memory ability, but they offer little insight into the genetic underpinnings of specific memory-related mental processes, such as encoding, memory maintenance, modulation by emotional arousal, or guessing strategies. Importantly, neurobiological and molecular profiles of such processes are known to be partly distinct (10-12). Because some of the mental processes involved in memory are not readily amenable to direct observation, computational modeling can be used to make inferences about them (13,14). Modelbased analyses provided insights into neurocomputational mechanisms of reward-based learning and decision making (15-17), related model parameters such as the learning rate to genetic polymorphisms (18,19), and provided a computational explanation for the inverted-U-shaped relation between stress intensity and behavioral performance (20). As a relatively recent development, the model-based analysis approach has largely been missing from studies of human episodic memory and genome-wide association studies (GWAS).GWAS already had identified a number of associations betwee...