Computational analysis of the role of the hippocampus in memory.¶
Treves, A., & Rolls, E. T. (1994). Computational analysis of the role of the hippocampus in memory. Hippocampus, 4(3), 374-391.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Associative Memory
- Neuroscience: Hippocampal and neocortical networks recall a whole episode or memory from a fragment of it; the CA3 region's dense recurrent collaterals are widely modeled as an autoassociative network performing pattern completion, and attractor models formalize how a partial cue is "cleaned up" toward a stored memory.
This sourceModels CA3 as an autoassociation network performing pattern completion, with explicit analysis of capacity, basins of attraction, and interference. SUPPORTS marker 128.
Supported in partVerified against the publisher's abstract
Abstract supports CA3 as a single autoassociation network recalling a whole episodic memory from a fragment, but not the claim's attractor-model or recurrent-collateral wording.
“The computational analysis shows how many memories could be stored in the hippocampus and how quickly the CA3 autoassociation system would operate during recall. The analysis is then extended to show how the CA3 system could be used to recall a whole episodic memory when only a fragment of it is presented.”
- Neuroscience: Hippocampal and neocortical networks recall a whole episode or memory from a fragment of it; the CA3 region's dense recurrent collaterals are widely modeled as an autoassociative network performing pattern completion, and attractor models formalize how a partial cue is "cleaned up" toward a stored memory.
- Pattern Completion (Filling the Incomplete)
- In LLMs, temperature and top-k sampling parameters explicitly control this balance; in human cognition, the balance is modulated by attention, emotion, and context in ways not fully understood.
This sourceModern quantitative formulation of hippocampal pattern completion, analyzing capacity, basins of attraction, and interference properties of autoassociative networks implementing CA3 completion.
- In LLMs, temperature and top-k sampling parameters explicitly control this balance; in human cognition, the balance is modulated by attention, emotion, and context in ways not fully understood.
Verification¶
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Registry ID ref:3732523baa9a · see in the full table