Petar Raykov

@praykov.bsky.social

Cognitive Neuroscientist interested in memory and aging https://www.petarraykov.com/

In our new paper we use 2 fMRI studies to put SLIMM to the test. We find the U-shape function of memory and expectancy, yet no differential hippocampal involvement at the different ends of the expectancy spectrum - highlighting the need to revisit SLIMM. doi.org/10.1098/rstb...

Predictions and declarative memory encoding: two fMRI paradigms provide slim pickings for SLIMM

Abstract. Memory is often better for both highly unexpected and highly expected information. To explain this U-shape relationship between memory and expect

doi.org

New CamCAN study led by @praykov.bsky.social used 11 different white matter (WM) measures to show that WM health is multidimensional: 4 latent MRI-derived factors explained 89% of WM variance, were predicted by vascular health, and predicted cognition: doi.org/10.1038/s415...

Complementary MR measures of white matter and their relation to cardiovascular health and cognition - Scientific Reports

Scientific Reports - Complementary MR measures of white matter and their relation to cardiovascular health and cognition

doi.org

Now out in Cognitive Science! We use GPT-2 to show that Bayesian surprise, which tracks changes in the content and confidence of predictions, accounts for human event boundaries in a narrative better than surprisal, which only tracks the predicted probability of individual words tinyurl.com/kd9dpub8