Model Overview

Processor emulation is a virtualization technology that allows software compiled for one processor & operating system to run on a system with a different processor & operating system, without any source code or binary changes. 

KorrTecx is an emulation of a biological processor, the AI runs on the simulated biological processor, not the Von Neumann based architecture.

Hardware - PC Cluster

Hardware comprises of twelve four core PC nodes in a standard cluster. The Nodes are old-skool 4 core Q6600's OC @ 3Ghz with SSD.

Compute Nodes

The processing core is designed around a modular 'compute node' architecture governed by a custom MPI. Each node runs on a single core and can be configured for either a segmented large model or many small models with differing parameters for testing. 

The models morphology is roughly based on the human template.  The scale and location of the deep brain structures align with academia's generic template. Initial long range tract guides between the structures follow empirical data from a human connectome.

Connectomics are defined by evolutionary algorithms that evolve & adapt the model over time. Long-range inter-structure (white matter) axons, the medium/ short-range (grey matter) tracts within the semantic laminate layers & localised structures like dendritic arbours and hubs are all simulated.

Model Components

• Structures - Neocortex (gyrification), lobes, hippocampus, thalamus, cerebellum, stem (pons) & wider nervous system (homunculus map)

• Cortices - Motor, pre-motor, somatosensory, pre-frontal, frontal, visual (1,2,3,4), audio

• Connectomics - Mini maps, hubs, clusters, tracts, semantic maps, cortical columns

• Substrate - Laminates (six layer), neurons, dendrites, synapse, axons

• Bio-chemical - Myelin, transmitters, neuro modulators

• Bio-electrical - Spatiotemporal spikes, EM fields

Neocortex

The overall morphology is based roughly on the human template.  The scale and location of the deep brain structures align with academia's generic template. Initial long range tract guides between the structures follow empirical data from a human connectome.

Manifold - shape optimal for thalamocortical rhythms.

Lobes - The lobe boundaries key role is halting surface propagation between diverse functional areas. 

Gyrification - gyri/ sulci (GS) are not just the result of a limited volume & expanding cortical sheet. There is a direct relation between GS and the other deep structures. 

The cortical folding pattern (Gyri/ Sulci) not only allows for a greater semantic surface area but also a broader frequency/ phase response per unit area. 

Substrate - Six layers

Laminate Layers - Lateral tuning

Semantic Maps - In an evolved connectome model visual, auditory & tactile senses all share generalised/ semantic constructs, eg. stereo disparity... we can 'see' with touch, etc.  Its one external spatiotemporal sense (thalamic modulation), the grounding differentiates the modalities. 

Sparse networks of distributed neuron clusters (NC) create generalised semantic maps.

The versatility of human cognition is derived from the re-combination of these NC's.  A single NC can contribute properties to millions of diverse memory engrams. 

Cortical Columns - Mini columns are innate, macro cortical columns are not.

They are a product of tuning/ pruning of lateral (laminar) dendritic branches during learning.

Inhibition - localised lateral inhibition within the laminar structures, sharpens semantic map response by dampening the local, competing areas, allowing the strongest (gradient ascent) signal to dominate.  This regulates global signal sparsity/ homeostasis. 

Cortices - Apparent distinct cortical regions (excluding sensory input) with specific functionality (FFA, Broca) are NOT directly processing related information.  Their location is optimal for tuning, to extract the relevant information from the globally distributed processing. 

Frontal Lobe - a special case/ area, no direct association to any sensory areas, stimulated by long-range afferent axons that originate in the hubs.  Purely processes internal activity generated by the rest of the connectome & influences/ conducts the global narrative. 

Mini-maps (MM) - lateral self-organised freq response across the cortical maps (neo) tends to leave areas of low connectivity, MM are localised columns which form in these areas.  Connected by long lateral tracts they provide a sparse blended sum of local activation. 

Hubs - areas where long range tracts terminate, used for fast signal transmission and balancing global BTR homeostasis.

Clusters - smaller than hubs or association areas/ maps, form where multiple distributed networks share/ have a similar frequency space.

An overloaded neuron basically calls for help, and neurogenesis sends reinforcements to divide the workload.