In vivo ephaptic coupling allows memory network formation
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Abstract
It is increasingly clear that memories are distributed across multiple brain areas. Such “engram complexes” are important features of memory formation and consolidation. Here, we test the hypothesis that engram complexes are formed in part by bioelectric fields that sculpt and guide the neural activity and tie together the areas that participate in engram complexes. Like the conductor of an orchestra, the fields influence each musician or neuron and orchestrate the output, the symphony. Our results use the theory of synergetics, machine learning, and data from a spatial delayed saccade task and provide evidence for in vivo ephaptic coupling in memory representations.
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Ephaptic coupling can generate the synchronization of action potential firing in neurons.
“Ephaptic coupling can generate the synchronization of action potential firing in neurons.”
From Coupling quantum-like cognition with the neuronal networks within generalized probability theory (2025) · cites this paper as Pinotsis and Miller (2023)
The Introduction says electric fields control neural activity and oscillations through ephaptic coupling, and the Discussion suggests they can control neuronal spiking. Neither passage says that ephaptic coupling synchronizes action-potential firing across neurons; the Discussion’s mention of oscillatory synchrony concerns earlier work, not that mechanism. (LLM, conf=0.84)
Experimental — accuracy not yet measuredPinotsis and Miller (2023) provide evidence for in vivo ephaptic coupling in memory representations.
“Our results ... provide evidence for in vivo ephaptic coupling in memory representations”
From Coupling quantum-like cognition with the neuronal networks within generalized probability theory (2025) · cites this paper as Pinotsis and Miller (2023)
Ephaptic coupling between neuronal structures in the brain leads to communication between neuronal networks that differs from direct communication systems based on physical connections like electrical synapses and chemical synapses.
“This coupling leads to communication between neuronal networks that differs from direct communication systems based on the physical connections like electrical synapses and chemical synapses.”
From Coupling quantum-like cognition with the neuronal networks within generalized probability theory (2025) · cites this paper as Pinotsis and Miller (2023)
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- Authors
- Pinotsis, D. A., & Miller, E. K.
- Affiliations
- University of London (GB)
- Massachusetts Institute of Technology (US)
- Corresponding author
- Pinotsis, Dimitris A
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2023-07-07
- Volume
- 33
- Issue
- 17
- Pages
- 9877-9895
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- PMC
- PMC10472500
- OpenAlex
- W4383615353
- Cited by
- 62
- References
- 145
- Citations by year
- 2026: 15 · 2025: 22 · 2024: 16 · 2023: 8 · 2016: 1
- FWCI
- 9.14
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Cerebral Cortex (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- City Research Online (City University London) (submittedVersion)
- Funders
- The Picower Institute for Learning and Memory
- The JPB Foundation
- Office of Naval Research (N00014-22-1-2453)
- UKRI (ES/T01279X/1)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Keywords
- ephaptic coupling, distributed memory, bioelectric fields, synergetics, memory consolidation
- MeSH terms
- Memory Consolidation, Brain, Neurons
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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