Mechanism of Memory and Mentation
Gerard Marx1 and Chaim Gilon2
1MX Biotech Ltd., Jerusalem, Israel
2Institute of Chemistry, Hebrew University, Jerusalem, Israel
*Corresponding Author: Gilon, Institute of Chemistry, Hebrew University, Jerusalem, Israel.
Received:
October 13, 2025; Published: November 20, 2025
Abstract
This article advances a conceptual model outlining a biochemical tripartite mechanism of memory and mentation in the brain. It emphasizes the key contributions of neuronal circuits, astrocyte clusters, the neural extracellular matrix/perineuronal net (nECM/PNN) and metals/neurotransmitters as an integrated framework for encoding, storing, and recalling memory at the molecular level. Unlike models focused solely on electrical signal transmission or binary coding, this narrative posits that memory and conscious experience (mentation) emerge from the chemical interactions of brain cells, their extracellular environment encoded with doping effectors.
The operational components of the tripartite mechanism of memory and mentation are:
•
Brain Cells - neuron circuits which communicate with the body (in-out) and glial cell clusters (astrocytes) which perform mental functions.
•
Matrix- nECM/PNN, a complex glycosamino-glycan which engulfs all cells and performs as a "memory material" (i.e. library).
•
Dopants - metal cations and neurotransmitters (NTs) which encode experience within the nECM/PNN, effectively using both dopants to encode "emotive memory".
The tripartite mechanism of biochemical memory is presented chemographically with a chemical shorthand that summarizes the molecular features of recalled emotive states. It is consonant with the material options available to the brain cells. We review recent evidence on astrocyte-mediated information processing, nECM/PNN structure-function relationships and the pivotal roles of metal cations and dopants in molecular memory encoding.
Theoretical implications of the proposed tripartite mechanism span neuroscience, cognitive science, and educational research, offering new perspectives on how molecular processes shape emotional memory, learning and consciousness. The model encourages future research on the molecular dynamics of the nECM/PNN and the translational potential of targeting astrocyte-matrix interactions for clinical mental health interventions.
Keywords: Neural Code; Tripartite Mechanism; Memory; Cognitive Information; Mentation
References
- Sejnowski TJ., et al. “Computational neuroscience”. Science 241 (1988): 1299-1306.
- Landauer R. “Information is physical”. IBM Journal of Research and Development3 (1961): 183-191, “The physical nature of information”. Physics Letters A 217 (1996): 188-193.
- Bhatia S and He L. “Machine generated theories of human decision making”. Science 372 (2021): 1150-1151.
- Broekens J., et al. “Challenges in computational modeling of affective processes”. IEEE Transactions on Affective Computing 3 (2013): 242-245.
- Dehaene S., et al. “What is consciousness and could machines have it?” Science 358 (2017): 486-492.
- Fingelkurts AA., et al. ““Machine” consciousness and “artificial” thought: An operational architectonics model guided approach”. Brain Research 1428 (2012): 80-92.
- Yashchenko V. “Secrets of memory. biological and computer parallels”. UDC (2023): 681.
- Lange M. “The Philosophy of Physics: Locality, Fields, Energy, and Mass”. Blackwell Publishing, London (2002).
- Gallistel CR and King A. “Memory and the Computational Brain”. Wiley Blackwell, New York (2009).
- Kandel ER., et al. “Principles of Neural Science”. MacGraw-Hill. New York.
- Stroud JP., et al. “The computational foundations of dynamic coding in working memory”. Trends in Cognitive Sciences7 (2013).
- Hebb DO. “The Organization of Behavior”. Wiley, New York (1949).
- Bhalla US and Iyengar R. “Emergent properties of networks of biological signaling pathways”. Science 283 (1999): 381-389.
- Block N., et al. “The Nature of Consciousness. A Philosophical Debate”. MIT Press, Cambridge, MA (1997).
- Baddeley A., et al. “The brain decade in debate: I. Neurobiology of learning and memory”. Brazilian Journal of Medical Biological Research 33 (2000): 993-1002.
- Malsburg C. “Concerning the neuronal code”. arXiv (2018): 1811.01199v1.
- Choi J., et al. “Interregional synaptic maps among engram cells underlie memory formation”. Science 360 (2018): 430-435.
- Changeux JP., et al. “A Connectomic hypothesis for the hominization of the brain”. Cerebral Cortex 31 (2021): 2425-2449.
- Xu X., et al. “Molecular mechanisms underlying the neural correlates of working memory”. BMC Biology 22 (2024): 238-251.
- Uytiepo M., et al. “Synaptic architecture of a memory engram in the mouse hippocampus”. Science 387 (2025): 1269.
- Semon R. “Mnemic Psychology”. G. Allen and Unwin, London (1923).
- Ryle G. “The Concept of Mind”. University of Chicago Press, Chicago, IL” (1949).
- Langer S. “Philosophical Sketches: The Process of Feeling” (1962).
- Barnes & Noble; reprint edition (2009).
- Fodor JA. “The Language of Thought”. TY Crowell Co. Inc. USA (1975).
- Chomsky N. “Reflections on Language”. Pantheon Books, New York (1975).
- Searle John R. “Minds, brains, and programs”. Behavioral and Brain Sciences3 (1980): 417-457.
- Crew F. “The Memory Wars: Freud’s Legacy in Dispute”. The New York Review of Books, NY (1995).
- Hobson AJ. “The Chemistry of Conscious States”. Little, Brown, New York (1994).
- Bistricky SL. “Mill and mental phenomena: Critical contributions to a science of cognition”. Behavioural Sciences 3 (2013): 217-231.
- Kandel ER., et al. “The molecular and systems biology of memory”. Cell 157 (2014): 163-186.
- Josselyn SA., et al. “Finding the engram”. Nature Reviews Neuroscience 16 (2015): 521-534.
- Marx G and Gilon C. “The molecular basis of memory”. ACS Chemical Neuroscience 3 (2012): 633-642.
- Marx G and Gilon C. “The molecular basis of memory. MBM Pt 2: The chemistry of the tripartite mechanism”. ACS Chemical Neuroscience 4 (2013): 983-993.
- Marx G and Gilon C. “The molecular basis of neural memory. Part 10. The sins and redemption of neurobiology”. Journal of Neurocritical Care 1 (2018): 1-7.
- Marx G and Gilon C. “The molecular basis of neural memory. Part 11. Chem-electric Write /Read Processes”. Journal of Neurosurgery: Imaging and Techniques 6 (2020): 283-301.
- Marx G and Gilon C. “Interpreting neural morphology”. Acta Scientific Neurology 3 (2020): 1-4.
- Marx G and Gilon C. “Encoding neural memory”. Frontiers in Drug Chemistry and Clinical Research (2020).
- Marx G and Gilon C. “The molecular basis of neural memory. Pt 5. Development of a chemography for the tripartite mechanism: From alchemy to brain chemistry”. Israel Journal of Chemistry (2021): e202100088.
- Marx G and Gilon C. “The molecular basis of neural memory. Part 8. Case studies of “neuro-mimetic” technologies”. Research in Medical and Engineering Sciences 1 (2018). RMES.000651.
- Tadi KK., et al. “Oxytocin-monolayer-based impedimetric biosensor for zinc and copper ions”. ACS Omega 2 (2017): 8770-8778.
- Marx G and Gilon C. “Developing “neuro-mimetic” sensors”. Abstract, Bat Sheva Symposium on Biosensors (2017).
- Roberson ED and Sweatt JD. “A biochemical blueprint for Long-Term Memory”. Learning and Memory 6 (1999): 381-388.
- Collell G and Fauquet J. “Brain activity and cognition: A connection from thermodynamics and information theory”. Frontiers in Psychology 6 (2015): 818.
- Robertson JM. “The Astrocentric Hypothesis: Proposed role of astrocytes in consciousness and memory formation”. Journal of Physiology 96 (2002): 251-255.
- Robertson JM. “Astrocyte domains and the three-dimensional and seamless expression of consciousness and explicit memories”. Medical Hypotheses 81 (2013): 1017-1024.
- Giaume C., et al. “Astroglial networks: A step further in neuroglial and gliovascular interactions”. Nature Reviews Neuroscience 11 (2010): 87-99.
- Tan CX and Eroglu C. “Cell adhesion molecules regulating astrocyte-neuron interactions”. Current Opinion on Neurobiology 69 (2021): 170-177.
- Robertson JM. “The Gliocentric Brain”. International Journal of Molecular Sciences 19 (2018): 3033.
- Robertson JM. “The Astroglia Syncytial Theory of Consciousness”. International Journal of Molecular Sciences 26 (2025): 5785.
- Zorec R., et al. “Memory formation shaped by astroglia”. Frontiers in Integrative Neuroscience 9 (2015): 56.
- Rangel-Gomez M., et al. “Symposium: Neuron-Glial interactions: Implications for plasticity, behavior, and cognition”. The Journal of Neuroscience 44 (2024): 1-10.
- Escalada P., et al. “Essential role of astrocytes in learning and memory”. International Journal of Molecular Sciences 25 (2024): 1899-1914.
- Lines J., et al. “The duality of astrocyte neuromodulation: Astrocytes sense neuromodulators and are neuromodulators”. Journal of Neurochemistry 169 (2025): e70054
- Eroglu “Astrocytes, hidden puppet masters of the brain”. Science 488 (2025): 705-706.
- Chen AB., et al. “Norepineprine changes in behavioral state through astroglial purinergic signaling”. Science 388 (2025): 769-775.
- Guttenplan KA., et al. “GPCR signaling gates astrocyte responsiveness to neurotransmitters and control of neuronal activity”. Science 388 (2025): 763-768.
- Williamson MR., et al. “Learning-associated astrocyte ensembles regulate memory all”. Nature 637 (2025): 478-486.
- Bentivoglio M., et al. “The original histological slides of Camillo Golgi and his discoveries on neuronal structure”. Frontiers in Neuroanat (2019).
- Soles A., et al. “Extracellular matrix regulation in physiology and in brain disease”. International Journal of Molecular Sciences 24 (2023): 7049.
- Dityatev A., et al. “Compartmentalization from the outside: The extracellular matrix and functional microdomains in the brain”. Trends in Neurosciences 33 (2010): 503-513.
- Rauti R., et al. “Mimicking the brain extracellular matrix in vitro: A review of current methodologies and challenges”. Israel Journal of Chemistry 60 (2020): 1141-1151.
- Vargova L and Sykova E. “Astrocytes and extracellular matrix in extrasynaptic volume transmission”. Philosophical Transactions of the Royal Society B 369 (2014): 20130608.
- Burket JA., et al. “Perineuronal nets (PNN) and metal cations in the microenvironments of interneurons: Relevance to neuro-development and neuro-developmental disorders”. Biomolecules 11 (2021): 1235-1245.
- Lemieux P., et al. “Perineuronal nets and the neuronal extracellular matrix can be imaged by genetically encoded labeling of HAPLN1 in vitro and in vivo”. bioRxiv preprint (2023).
- Rauch U. “Brain matrix: structure, turnover and necessity”. Biochemical Society Transactions 35 (2007): 656-659.
- Kular JK., et al. “The extracellular matrix: Structure, composition, age-related differences, tools for analysis and applications for tissue engineering”. Journal of Tissue Engineering 5 (2014): 1-17.
- Shcherbatykh I and Carpenter DO. “The role of metals in the etiology of Alzheimer's disease”. Journal of Alzheimers Disease 11 (2007): 191-205.
- Hrabetova S., et al. “Calcium diffusion enhanced after cleavage of negatively charged components of brain extracellular matrix by chondroitinase ABC”. Journal of Physiology 587 (2009): 4029-4049.
- Jellinger KA. “The relevance of metals in the pathophysiology of neurodegeneration, pathological considerations”. International Review of Neurobiology 110 (2013): 1-47.
- Kepp KP. “Bioinorganic chemistry of Alzheimer’s disease”. Chemical Review 112 (2012): 5193-5239.
- “Brain Cell Census”. Science 13 (2023).
Citation
Copyright