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The Mechanical Basis of Memory – the MeshCODE Theory

Goult, Benjamin T (2021) The Mechanical Basis of Memory – the MeshCODE Theory. Frontiers in Molecular Neuroscience, 14 . Article Number 592951. ISSN 1662-5099. (doi:10.3389/fnmol.2021.592951) (KAR id:86772)

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One of the major unsolved mysteries of biological science concerns the question of where and in what form information is stored in the brain. I propose that memory is stored in the brain in a mechanically encoded binary format written into the conformations of proteins found in the cell-extracellular matrix (ECM) adhesions that organise each and every synapse. The MeshCODE framework outlined here represents a unifying theory of data storage in animals, providing read-write storage of both dynamic and persistent information in a binary format. Mechanosensitive proteins that contain force-dependent switches can store information persistently, which can be written or updated using small changes in mechanical force. These mechanosensitive proteins, such as talin, scaffold each synapse, creating a meshwork of switches that together form a code, the so-called MeshCODE. Large signalling complexes assemble on these scaffolds as a function of the switch patterns and these complexes would both stabilise the patterns and coordinate synaptic regulators to dynamically tune synaptic activity. Synaptic transmission and action potential spike trains would operate the cytoskeletal machinery to write and update the synaptic MeshCODEs, thereby propagating this coding throughout the organism. Based on established biophysical principles, such a mechanical basis for memory would provide a physical location for data storage in the brain, with the binary patterns, encoded in the information-storing mechanosensitive molecules in the synaptic scaffolds, and the complexes that form on them, representing the physical location of engrams. Furthermore, the conversion and storage of sensory and temporal inputs into a binary format would constitute an addressable read-write memory system, supporting the view of the mind as an organic supercomputer.

Item Type: Article
DOI/Identification number: 10.3389/fnmol.2021.592951
Uncontrolled keywords: Memory, talin, mechanobiology, MeshCODE, brain, integrin, engram, cytoskeleton
Subjects: Q Science > QH Natural history > QH301 Biology
Divisions: Divisions > Division of Natural Sciences > Biosciences
Funders: International Human Frontier Science Program Organization (
Biotechnology and Biological Sciences Research Council (
Depositing User: Ben Goult
Date Deposited: 25 Feb 2021 16:52 UTC
Last Modified: 12 Jul 2022 10:41 UTC
Resource URI: (The current URI for this page, for reference purposes)
Goult, Benjamin T:
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