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When shared concept cells support associations: Theory of overlapping memory engrams.
Chiara Gastaldi1, Tilo Schwalger2, Emanuela De Falco3
1School of Computer and Communication Sciences and School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Plos Computational Biology
|December 30, 2021
Summary
Shared neurons in concept cells are crucial for forming associations between concepts. Too few shared neurons prevent reliable associations, while too many hinder concept retrieval, impacting memory recall.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Cognitive Science
Background:
- Concept cells in the human medial temporal lobe encode acquired concepts.
- Shared concept cells between neural assemblies are hypothesized to represent associations.
- Understanding neural mechanisms of association formation is key to cognitive function.
Purpose of the Study:
- To computationally investigate the role of shared neurons in encoding concept associations.
- To determine the critical thresholds for shared neural populations in implementing associations.
- To explore the impact of neural oscillations on association recall.
Main Methods:
- Utilizing a computational model of attractor neural networks.
- Simulating sparse neural assemblies to encode concepts.
- Analyzing the fraction of shared neurons between assemblies.
Main Results:
- A minimal fraction of shared neurons (cmin) is required for reliable association implementation.
- A maximal fraction of shared neurons (cmax) is necessary to prevent concept retrieval failure.
- Periodically modulated background signals, like hippocampal oscillations, facilitate association chain recall.
Conclusions:
- Shared neurons play a critical role in forming and retrieving concept associations.
- The balance of shared neural populations is essential for both association formation and concept stability.
- The model's predictions align with experimental data on neural response patterns.
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