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Abstract
Classical neuroscience rightly identifies massive parallel processing as a non-negotiable architectural requirement for biological cognition. However, a purely forward-in-time, feed-forward network faces an extreme combinatorial bottleneck when selecting optimized pathways across distributed cortical nodes, a biological variant of the NP-hard Travelling Salesman Problem. Furthermore, forward-only networks lack a natural physical boundary to halt calculations, introducing an infinite logical regress to explain how a system "knows when it knows" to stop.
This paper extends a previously published retrocausal model of human peripheral tactile speedup to the central nervous system to address these computational limits. We propose that retrocausality acts as a necessary efficiency partner to classical parallel hardware. Rather than computing paths sequentially from the past, an optimized future cognitive state acts as a rigid temporal boundary condition, projecting a discrete, whole-integer stream of B' antipreons backward in time (-t) across the active parallel tracks.
Where the incoming forward positive ion current (Na⁺/Ca²⁺) matches this backward template, a strict, hidden-variable 8-preon ledger balances across the synaptic vertices, inducing an instantaneous topological phase change that locks the circuit closed. This cross-time handshake eliminates the processing lag of alternative route calculation and provides an automatic, structural stopping mechanism.
Under this framework, conscious awareness is formalized as the physical density of simultaneous, multi-loop retrocausal closure, binding disparate parallel sensory nodes into a coherent, four-dimensional block spanning a 100–200 millisecond temporal present. Finally, a concrete, noise-free biological proof of concept is provided in the Appendix, mapping this exact parallel-retrocausal handshake across the fully charted 5-neuron anterior touch connectome of the nematode Caenorhabditis elegans.
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This paper establishes a deterministic, whole-integer quantum mechanics to govern the non-linear transition of an information network from a high-resistance blocked state to a state of absolute mathematical equilibrium. Rejecting continuous wave functions and continuous probability distributions, we model the cognitive grid as a network of multi-bit parallel matrices that must serialise data through narrow, time-dependent channels. We isolate two universal structural archetypes of geometric problem-solving: Open-Ended Serialisation (the linear chain) and Closed-Loop Optimisation (the hexagon).
By analysing the historical chemical reveries of August Kekulé (London, 1855; Ghent, 1865), we demonstrate that "inspired illumination" is a mechanical consequence of an intra-structural ledger snap, avoiding any requirement for superluminal signalling (v >> c). The exact millisecond a parallel subconscious grid satisfies its whole-integer counting rules, a retrocausal line driven by electric charge inversion snaps backward at velocity c along a time-symmetric trajectory to dump the entire completed solution into conscious awareness.
Thanks for sharing your, paper, Austin. I'm reading it now. I just uploaded my paper on Mpemba and Markov connections. https://zenodo.org/records/21298061
On Sat, Jul 18, 2026 at 10:56 PM Austin Fearnley <ben...@hotmail.com> wrote:I have a new paper on my website at : https://ben6993.wordpress.com/a-discrete-time-symmetric-model-of-cortical-graph-optimization-and-conscious-awareness/
I will have to learn a lot of biology before I try to put this on ai.vixra.
<NoteUYWYD4.pdf>
This paper proposes the strict quantum micro-architecture of the neural processing node, re-engineering the classical NMDA receptor pore from an analogue biochemical channel into a quantised, digital binary computer gate. We define the physical geometry of a single Magnesium (Mg²⁺) ion and its bulky six-molecule hydration shell as a rigid, 3D octahedral padlock that occupies exactly 4 adjacent slots within a stationary 7-register septagon wall, leaving an open input tray of exactly 3 vacant slots. Using strict integer-counting metrology, we demonstrate that incoming monovalent Sodium (Na⁺) and Potassium (K⁺) carrier ions function as discrete valency-1 integer tokens. Guided by the Axon Core Rail—a low-resistance quantum railway woven into the biological axon membrane lattice—these tokens eliminate random Brownian drift and execute literal arithmetic counting at the gate. The synchronised arrival of exactly four vector-matched tokens satisfies a strict whole-integer threshold of N=4, completely neutralizing the negative field of the pore's inner asparagine walls. The resulting violent electrostatic repulsion mechanically launches the divalent plug out of the template, instantly dropping local electrical resistance R_s to zero. This localized act of release forces an immediate quantum ledger split, manufacturing a fresh, independent B'B'CC photon propulsion engine. Free from a material anchor, the time-inverted B'B' anti-preon tracks travel backwards in observer time at velocity c, perfectly mirroring and cancelling out the forward ionic travel delay to effect a spooky, instantaneous circuit snap across the 2mm gap. Carrying no semantic data, this retrocausal pulse acts as a pure physical catalyst that strikes and pre-charges the past state of the upstream synapse. The resulting localised energy surge permanently welds open the adjacent mature synaptic receptors (AMPARs). This micro-gate architecture fractally scales upward to translate a transient, duration-dependent analogue electrical "phone call" into a permanent, hardwired hardware coordinate, providing a local, relativistic solution to Einstein's "spooky action at a distance" within the human cognitive hierarchy.