logo
ResearchBunny Logo
Hippocampal mismatch signals are based on episodic memories and not schematic knowledge

Psychology

Hippocampal mismatch signals are based on episodic memories and not schematic knowledge

D. K. Varga, P. P. Raykov, et al.

Prediction errors drive learning by signaling mismatches between expectations and reality. Across three fMRI experiments, the hippocampus selectively responded to mismatches with episodic memories of specific events, while schematic mismatches engaged Semantic Control and Multiple Demand Networks and subcortical prediction-error regions; episodic mismatches also recruited the Default Mode Network. This research was conducted by Authors present in <Authors> tag.

00:00
00:00
~3 min • Beginner • English
Abstract
Prediction errors drive learning by signaling mismatches between expectations and reality, but the neural systems supporting these computations remain debated. The hippocampus is implicated in mismatch detection, yet it is not known whether it signals mismatches with episodic memories or generalized knowledge. Across three functional Magnetic Resonance Imaging (fMRI) experiments, we show that the hippocampus selectively responds to mismatches with episodic memories of specific events. In contrast, schematic mismatches engage Semantic Control and Multiple Demand Networks, as well as subcortical regions linked to prediction error signaling. Episodic mismatches also recruit the Default Mode Network. These findings challenge accounts that propose the hippocampus is a domain-general mismatch detector. Instead, the findings support a more specialized role for the hippocampus in learning that is underpinned by its well-established importance in processing episodic memories.
Publisher
PNAS
Published On
Aug 22, 2025
Authors
Dominika K. Varga, Petar P. Raykov, Elizabeth Jefferies, Aya Ben-Yakov, Chris M. Bird
Tags
Prediction error
Hippocampus
Episodic memory
Schema mismatch
Semantic Control Network
Default Mode Network
fMRI
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny