bioRxivNeurosciencePreprint
Memory-specific E-I balance supports diverse replay and mitigates catastrophic forgetting
Abstract
The hippocampus is the brains central locus for memory processing. In a widely accepted hypothesis, the hippocampus stores short-term memories in attractor states, which are then consolidated in the neocortex as long-term memories. Hippocampal replay activities play a pivotal role in memory consolidation, but memories are only transiently, not persistently, replayed, casting doubt on the attractor memory hypothesis. Concepts like memory capacity, the upper bound on the number of storable stable memories in a neural network, may also need to be revised if their offline transient activation is more essential for memory consolidation. Here, we explore the biologically plausible mechanism of offline memory processing by asking a recurrent spiking network to replay reliably as many stored assemblies as possible. We demonstrate the importance of memory-assembly-specific inhibitory plasticity for replaying diverse memory assemblies. Furthermore, our results highlight the role of transient memory states in mitigating catastrophic forgetting.
- Citations
- 1
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.
Related papers
- Offline memory replay in recurrent neuronal networks emerges from constraints on online dynamics
Aaron D. Milstein, Sarah Tran, … Iván Soltész·The Journal of PhysiologyPeer-reviewed·Jul 30, 2022
- An inhibitory plasticity mechanism for world structure inference by hippocampal replay
Zhenrui Liao, Darian H. Hadjiabadi, … Attila Losonczy·bioRxiv·Nov 2, 2022
- Memory Replay in Balanced Recurrent Networks
Nikolay Chenkov, Henning Sprekeler, Richard Kempter·bioRxiv·Aug 15, 2016
- Transient excitability and synaptic consolidation support stable memory despite neural drift
Surbhit Wagle, Claudia Clopath A·bioRxiv·Sep 21, 2026
- Stochastic Consolidation of Lifelong Memory
Nimrod Shaham, Jay Chandra, … Haim Sompolinsky·Scientific ReportsPeer-reviewed·Jul 30, 2022
- Stable memory and computation in randomly rewiring neural networks
Daniel Acker, Suzanne Paradis, Paul C. Miller·Journal of NeurophysiologyPeer-reviewed·Apr 10, 2019