ArticleScience advances2023
A multilevel account of hippocampal function in spatial and concept learning: Bridging models of behavior and neural assemblies.
Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Task-relevant representational spaces in human memory traces.PLoS computational biology · 2025Article
- A unified neural representation model for spatial and conceptual computations.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Large language models surpass human experts in predicting neuroscience results.Nature human behaviour · 2025Article
- Differential reorganization of episodic and semantic memory systems in epilepsy-related mesiotemporal pathology.Brain : a journal of neurology · 2024Article
- Hippocampal connectivity patterns echo macroscale cortical evolution in the primate brain.Nature communications · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
A complete neuroscience requires multilevel theories that address phenomena ranging from higher-level cognitive behaviors to activities within a cell. We propose an extension to the level of mechanism approach where a computational model of cognition sits in between behavior and brain: It explains the higher-level behavior and can be decomposed into lower-level component mechanisms to provide a richer understanding of the system than any level alone. Toward this end, we decomposed a cognitive model into neuron-like units using a neural flocking approach that parallels recurrent hippocampal activity. Neural flocking coordinates units that collectively form higher-level mental constructs. The decomposed model suggested how brain-scale neural populations coordinate to form assemblies encoding concept and spatial representations and why so many neurons are needed for robust performance at the cognitive level. This multilevel explanation provides a way to understand how cognition and symbol-like representations are supported by coordinated neural populations (assemblies) formed through learning.
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Registered trials
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