[1] Inspired by a seminal experimental work in olfaction (SNAC-K test, Larsson et al., 2016), we are performing a computational study to investigate the interaction of olfaction and language information during retrieval. After the presentation of each odor stimulus, the SNAC-K participants were asked to freely identify and name the presented odor. Interestingly, the data suggest that odors with low language variability lead to lower omission rates. To mechanistically explain this observation, we built a computational model consisting of two reciprocally connected networks that stored overlapping odor and language representations as distributed memory patterns. We implement a fuzzy learning paradigm at which odors form up to four associations with different word-label descriptors using Bayesian-Hebbian plasticity, and evaluate semantic olfaction-name omission rates. Our model aims to reproduce quantitatively SNAC-K omission data, and based on preliminary results, we found higher blank responses with an increase in the number of olfaction-name associations. In this study, we plan to propose and evaluate a novel hypothesis about Hebbian synaptic plasticity mechanism which may cause decoupling of olfaction and language representations. M. Larsson, M. Hedner, G. Papenberg, J. Seubert, L. Bäckman, E.J. Laukka. Olfactory memory in the old and very old: relations to episodic and semantic memory and APOE genotype. Neurobiology of Aging, 38: 118–126, 2016. https://doi.org/10.1016/j.neurobiolaging.2015.11.012. [2] We investigate the interaction of episodic memory processes with the short-term dynamics of recency effects. This work takes inspiration from a seminal experimental work involving an odor-in-context association task conducted on rats (Panoz-Brown et al., 2016). In the experimental task, rats were presented with odor pairs in two arenas serving as old or new contexts for specific odor items. These new-in-context odor items were deliberately presented with higher recency relative to old-in-context items, so that episodic memory was put in conflict with a short-term recency effect. To study our hypothesis about the major role of synaptic interplay of plasticity phenomena on different time-scales in explaining rats’ performance in such episodic memory tasks, we build a computational spiking neural network model consisting of two reciprocally connected networks that store contextual and odor information as stable distributed memory patterns. We simulate the experimental task resulting in a dynamic context-item coupling between the two networks by means of Hebbian plasticity with eligibility traces to account for reward-based learning. We first reproduce quantitatively and explained mechanistically the findings of the experimental study, and further simulate an alternative task with old-in-context items presented with higher recency, thus synergistically confounding episodic memory with effects of recency. Panoz-Brown, D., Corbin, H.E., Dalecki, S.J., Gentry, M., Brotheridge, S., Sluka, C.M., Wu, J.-E., Crystal, J.D., 2016. Rats Remember Items in Context Using Episodic Memory. Current Biology 26, 2821–2826. https://doi.org/10.1016/j.cub.2016.08.023