Simple memory: a theory for archicortex
Abstract
It is proposed that the most important characteristic of archicortex is its ability to perform a simple kind of memorizing task. It is shown that rather general numerical constraints roughly determine the dimensions of memorizing models for the mammalian brain, and from these is derived a general model for archicortex. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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The hippocampus plays a vital role in learning episodic memory by encoding them through a process that separates similar personal experiences and stores them distinctly, thereby minimizing interference between different episodic memory.
“The hippocampus in the brain plays a vital role in learning episodic memory by encoding them through a process that separates similar personal experiences and stores them distinctly, thereby minimizing interference between different episodic memory [77, 78, 79].”
From Human-inspired Perspectives: A Survey on AI Long-term Memory (2024) · cites this paper as [77]
The hippocampus is involved in the complex process of retrieving specific memory based on cues.
“The hippocampus of brain is involved in the complex process of retrieving specific memory based on cues [77, 79].”
From Human-inspired Perspectives: A Survey on AI Long-term Memory (2024) · cites this paper as [77]
The hippocampus and cortex of the brain are involved in the encoding of memory, with the hippocampus encoding unique episodic information through its pattern separation properties and the cortex encoding more generalized information through its distributed representations.
“The hippocampus and cortex of the brain are involved in the encoding of memory, with the hippocampus encoding unique episodic information through its pattern separation properties and the cortex encoding more generalized information through its distributed representations [77, 78, 96, 79].”
From Human-inspired Perspectives: A Survey on AI Long-term Memory (2024) · cites this paper as [77]
Cites
Marr, D. (1969) · The Journal of Physiology · doi:10.1113/jphysiol.1969.sp008820 · Cited by 3,253 · see citing works
Self-citationSimple memory: a theory for archicortex
Marr, D. (1971) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1971.0078 · Cited by 2,771 · see citing works
Self-citationHippocampal synaptic enhancement and information storage within a distributed memory system
McNaughton, B. L., & Morris, R. G. M. (1987) · Trends in Neurosciences · doi:10.1016/0166-2236(87)90011-7 · Cited by 1,304 · see citing works
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Running enhances spatial pattern separation in mice
Creer, D. J., Romberg, C., Saksida, L. M., van Praag, H., & Bussey, T. J. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911725107 · Cited by 553 · see citing works
Hasselmo, M., & Schnell, E. (1994) · The Journal of Neuroscience · doi:10.1523/jneurosci.14-06-03898.1994 · Cited by 466 · see citing works
Conjunctive representations, the hippocampus, and contextual fear conditioning
RUDY, J. W., & O'REILLY, R. C. (2001) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.1.1.66 · Cited by 247 · see citing works
Pattern separation, pattern completion, and new neuronal codes within a continuous CA3 map
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Preconfigured dynamics in the hippocampus are guided by embryonic birthdate and rate of neurogenesis
Huszár, R., Zhang, Y., Blockus, H., & Buzsáki, G. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01138-x · Cited by 104 · see citing works
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Patterns of preserved and impaired spatial memory in a case of developmental amnesia
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Human-inspired Perspectives: A Survey on AI Long-term Memory
He, Z., Lin, W., Zheng, H., Zhang, F., Jones, M. W., Aitchison, L., Xu, X., Liu, M., Kristensson, P. O., & Shen, J. (2024) · arXiv · doi:10.48550/arxiv.2411.00489 · Cited by 3 · see citing works
- Authors
- Marr, D., Willshaw, D., & McNaughton, B.
- Affiliations
- University of Cambridge (GB)
- University of Arizona (US)
- Venue
- From the Retina to the Neocortex
- Publisher
- Birkhäuser Boston
- Published
- 1991
- Pages
- 59-128
- OpenAlex
- W4230890479
- Cited by
- 130
- References
- 3
- Citations by year
- 2026: 2 · 2025: 12 · 2024: 13 · 2023: 11 · 2022: 16 · 2021: 15 · 2020: 11 · 2019: 6 · 2018: 2 · 2017: 3 · 2016: 2 · 2015: 2 · 2014: 3 · 2013: 4 · 2012: 1
- FWCI
- 2.63
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Birkhäuser Boston eBooks (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
- Keywords
- archicortex, memory models, numerical constraints, brain size, mammalian brain, hippocampus
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