Developing a Tripartite Mechanism of Emotive Memory

Abstract

Biological memory is the crux of learning, consciousness, and survival. But unlike binary computer memory, neural memory is primarily emotive, having psychic dimensions expressed as emotions. Evidence indicates that biological memory evolved from bacterial signaling, eventually to serve neural creatures. We suggest a mechanism whereby neurons employ conserved molecules and biochemical processes to elicit and encode emotive states for subsequent recall. Emotions distinguish neural intelligence (NI) from artificial intelligence (AI). 

The evolutionarily conserved aspects of the chemographic tripartite mechanism for emotive memory were described. It is based on the interaction of neural cells with a surrounding lattice of anionic glycosaminoglycans (extracellular matrix (termed nECM/PNN), which serves as “memory material”. Stimulated neurons/glial cells eject metals and neurotransmitters (NTs) into their nECM/PNN, employing a “read/write” chemical code of metal-centered complexes (i.e., cognitive units of information (cuinfo)).

“Cloud computing” is characterized by data and functions distributed over multiple locales.  Thus, we meld the tripartite mechanism of memory with the Global Neuronal Workspace (GNW) hypothesis to detail the integration of the brain-dispersed but entangled cuinfo “cloud” to enable the recall of the experience, the basis of memory, learning, and consciousness.