Sign in
NeuroscienceeLife
Peer-reviewed journal article

Principles for coding associative memories in a compact neural network

Christian Oliver PritziD, Eyal ItskovitsiD, Eduard BokmaniD, Rotem RuachiD, Vladimir GritsenkoiD, Tal Nelken, Mai Menasherof, Aharon AzulayiD, Alon ZaslaveriD

Abstract

A major goal in neuroscience is to elucidate the principles by which memories are stored in a neural network. Here, we have systematically studied how the four types of associative memories (short- and long-term memories, each formed using positive and negative associations) are encoded within the compact neural network of C. elegans worms. Interestingly, short-term, but not long-term, memories are evident in the sensory system. Long-term memories are relegated to inner layers of the network, allowing the sensory system to resume innate functionality. Furthermore, a small set of sensory neurons is allocated for coding short-term memories, a design that can increase memory capacity and limit non-innate behavioral responses. Notably, individual sensory neurons may code for the conditioned stimulus or the experience valence. Interneurons integrate these information to modulate animal behavior upon memory reactivation. This comprehensive study reveals basic principles by which memories are encoded within a neural network, and highlights the central roles of sensory neurons in memory formation.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
28
FWCI
3.59
Field percentile
top 6%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISRaman '24Casal '20Mistry '25White '25Dunn '24Gallinaro '21
75% semantic matchNeuroscience
Eric Raman, Larry Shupe, Ryan Eaton+1 more·bioRxiv·Nov 20, 2024