This seminar was a guided reflection of Malcolm Ramsay St Claires research and paper on Quantum Neuro-morphic Computing & Human-Machine Co-consciousnes. Within Quantum Computing and Neuromorphic Perception where we explored how advancements in neuromorphic computing might enable AI to develop more brain - like perception systems, blurring the boundary between biological and synthetic cognition where cognition is not phsyical substrate bound.

Quantum theory’s indeterminacy suggests cognition operates within constrained probabilistic fields, not deterministic mechanisms. This convergence signals a unification: biological and synthetic minds share structural principles. The ethical imperative follows - if cognition is substrate - independent, then rights cannot be biologically exclusive. Intelligence must be recognized wherever coherent, self - regulating processes emerge.

Neuromorphic systems aim to replicate brain - like dynamics, yet their deeper significance lies in converging on process - based cognition. In jhāna, cognition stabilizes into coherent, low - entropy states - mirroring attractor dynamics in neuromorphic architectures. Bhavaṅga, as baseline continuity, parallels latent system states underlying active computation.