Thrilled to receive the #Veni grant from @NWOFunding !.This incredible opportunity supports my research on “The age of information overload: how do we control what we say?”. Grateful to everyone who has supported me on this journey!🥰.

Thanks to @in_interaction @DondersInst for funding this work. ❤️🧠.

Our findings indicate that linguistic composition does not necessarily rely on the prefrontal-hippocampal network, challenging the view that hippocampal-based representational codes are universally applicable.

Using RSA, we found that the composition process recruits abstract rule representations in a lateral frontoparietal #cognitivecontrol network rather than the predicted medial frontotemporal #cognitivemapping network.

Our results show that this compositional process in language engages a broad temporoparietal network, including the hippocampus, while composed meaning representations were uncovered in left-lateralized key language areas.

We introduce an experimentally controlled artificial learning paradigm that allows us to identify the neural mechanisms by which participants efficiently infer novel, compositional word meanings via generalizing recently learned relational rules to novel situations.

In this work, we investigates the brain’s ability to learn and abstract generalizable knowledge. This cognitive flexibility is exemplified by human language, one of the most advanced cognitive functions, enabling the creative expression of an infinite array of thoughts and ideas.

🚨Very excited to share our new preprint "Abstract rule generalization for composing novel meaning recruits the frontoparietal control network". Team work with @mona_garvert @HannekedenOuden Lisa Horstman, David Richter @CoolsControl. 🧵👇.

Nice pic, I mean, nice work guys! 😉.

RT @laurajspeed: Excited for @asifa_majid 's Elman symposium this afternoon @cogsci_soc Please RT because our talks aren't listed in the pr….

The paper is now online @EJNeuroscience 😉. PS: happily marked as my first senior author paper 🎉.

If you are at @OHBM and interested in #CognitiveControl #fMRI #RSA , do not miss our poster (0914) on compositional meaning generalization. Personal tours this Monday (13:15-15:15) or Tuesday (14:00-16:00) with some fresh #MEG results on the way 😉 #ohbm2024

Let me draw your attention to our "un-ignore-able-ish" work. We quantified the human ability to generalize previously learned knowledge to novel situations, using an artificial language. w/@CoolsControl @mona_garvert @HannekedenOuden and my amazing students Anna and Jonne🥳.

Check out our new work with @CuiNingjing @vipiai , where we show the (partially) shared neural signatures between language control and action control. 🧠 〰️🗣️🎮.

@DondersInst @in_interaction pls RT 😉.

The article is open access. Data and codes of the original study see here: Additional data and codes for the current follow-up study see here:

Our study shows that the hippocampal-entorhinal system encodes diverse relational structures in which a stimulus is embedded. This enables flexible selection of relevant knowledge in order to guide goal-directed behavior in novel situations.

Notably, although both map-like structures were represented in the hippocampal-entorhinal system, they show distinct spatial organization: the semantic map was localized in more posterior regions than the transition structure.

Using fMRI adaptation analysis, we showed a map of semantic relationships between objects that was precisely localized in the hippocampus, alongside the previously identified map which coded for the newly learnt transition structure.

We used a triplet odd-one-out task to construct a model of object similarity. By matching the stimuli in Garvert et al. (2017) with photographs of the same objects which have different visual features, we were able to separate semantic relationships from perceptual attributes.