The generative grammar of the brain: a critique of internally generated representations
Open accessAbstract
The past decade of progress in neurobiology has uncovered important organizational principles for network preconfiguration and neuronal selection that suggest a generative grammar exists in the brain. In this Perspective, I discuss the competence of the hippocampal neural network to generically express temporally compressed sequences of neuronal firing that represent novel experiences, which is envisioned as a form of generative neural syntax supporting a neurobiological perspective on brain function. I compare this neural competence with the hippocampal network performance that represents specific experiences with higher fidelity after new learning during replay, which is envisioned as a form of neural semantic that supports a complementary neuropsychological perspective. I also demonstrate how the syntax of network competence emerges a priori during early postnatal life and is followed by the later development of network performance that enables rapid encoding and memory consolidation. Thus, I propose that this generative grammar of the brain is essential for internally generated representations, which are crucial for the cognitive processes underlying learning and memory, prospection, and inference, which ultimately underlie our reason and representation of the world.
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Visuo-spatial imagery is the skill that is maximally correlated with dream recall in adults.
“Visuo-spatial imagery is also the skill that is maximally correlated with dream recall in adults308 and, in children, imagery and dream recall develop hand in hand257.”
From Consciousness and sleep (2024) · cites this paper as [308]
The ‘Network preconfiguration and neuronal selection in the hippocampus’ section discusses impaired dreaming content after bilateral hippocampal damage, but not dream recall or its correlation with visuo-spatial imagery in adults. Searches for visuo-spatial imagery and dream-recall correlations found no passage addressing that claim in our copy. The separate claim about children is attached to a different citation. (LLM, conf=0.74)
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Self-citationIntegrating new memories into the hippocampal network activity space
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A consensus statement: defining terms for reactivation analysis
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- Authors
- Dragoi, G.
- Affiliations
- Yale University (US)
- Corresponding author
- Dragoi, George
- ORCID
- Dragoi, George
- Venue
- Nature Reviews Neuroscience
- Published
- 2023-11-30
- Volume
- 25
- Issue
- 1
- Pages
- 60-75
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- PMC
- PMC11878217
- OpenAlex
- W4389167278
- Cited by
- 28
- References
- 159
- Citations by year
- 2026: 9 · 2025: 6 · 2024: 12 · 2023: 1
- FWCI
- 1.05
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute of Mental Health (R01MH121372)
- National Institute of Neurological Disorders and Stroke (R01NS104917, R35NS132342)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Keywords
- hippocampus, memory consolidation, memory replay, spontaneous neuronal activity, sequence generation, postnatal development, learning, memory encoding
- MeSH terms
- Brain, Hippocampus, Humans, Learning, Neurons, Neural Networks, Computer
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