Jingyuan Ren
jingyuanren.bsky.social
Jingyuan Ren
@jingyuanren.bsky.social
Cognitive Neuroscientist|Postdoc @ Neural Codes of Intelligence Lab, Max Planck Institute for Empirical Aesthetics|Former Donders Institute
Reposted by Jingyuan Ren
✨My first first-author paper is out✨
Entorhinal grid-like codes for visual space during memory formation in @natcomms.nature.com ➡️ rdcu.be/eLRm2
Big thanks to everyone ‪@isabellacwagner.bsky.social‬, @tobiasstaudigl.bsky.social, @olejensen.bsky.social, @doellerlab.bsky.social, @clauslamm.bsky.social
Entorhinal grid-like codes for visual space during memory formation
Nature Communications - Eye movements during scene viewing are tied to grid-like codes in the entorhinal cortex. Grid signals are specific to later remembered scenes, covary with activity in...
rdcu.be
October 20, 2025 at 4:42 PM
Reposted by Jingyuan Ren
New paper from the lab in Cell Reports! Rebekka Tenderra @rtenderra.bsky.social et al show that intelligence is linked to interindividual differences in relational integration in hippocampal cognitive maps, supporting an information-processing-based view on intelligence. www.cell.com/cell-reports...
Human intelligence relates to neural measures of cognitive map formation
Tenderra et al. show that human intelligence is linked to interindividual differences in relational integration in hippocampal cognitive maps. Map-like representations of information learned piecemeal...
www.cell.com
July 24, 2025 at 4:06 PM
Reposted by Jingyuan Ren
🧠 Paper out!

We investigated how hippocampal and cortical ripples support memory during movie watching. We found that:

🎬 Hippocampal ripples mark event boundaries
🧩 Cortical ripples predict later recall

Ripples may help transform real-life experiences into lasting memories!

rdcu.be/eui9l
Movie-watching evokes ripple-like activity within events and at event boundaries
Nature Communications - The neural processes involved in memory formation for realistic experiences remain poorly understood. Here, the authors found that ripple-like activity in the human...
rdcu.be
July 1, 2025 at 1:26 PM
Reposted by Jingyuan Ren
Thrilled to see our TinyRNN paper in @nature! We show how tiny RNNs predict choices of individual subjects accurately while staying fully interpretable. This approach can transform how we model cognitive processes in both healthy and disordered decisions. doi.org/10.1038/s415...
Discovering cognitive strategies with tiny recurrent neural networks - Nature
Modelling biological decision-making with tiny recurrent neural networks enables more accurate predictions of animal choices than classical cognitive models and offers insights into the underlying cog...
doi.org
July 2, 2025 at 7:03 PM