Advanced International Journal for Research

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Neuromorphic Adaptation and Cognitive Parallelism — A VerbaTerra Project Study

Author(s) Harshit Gupta
Country India
Abstract This study, Neuromorphic Adaptation and Cognitive Parallelism, is a core output of the VerbaTerra Project, which seeks to unify neuroscience, linguistics, anthropology, and artificial intelligence under the principle of resonant coherence — the alignment of feedback rhythms across cognition, culture, and computation.
Using only secondary academic data and a simulation-based framework, the research develops the vSION Neuromorphic Engine, a four-layer adaptive system (Perceptual, Linguistic, Cognitive, Energetic) capable of learning through rhythmic modulation rather than static optimisation. The simulated data follow the entropy–energy–ethics balance equations described in Annex A and the resonance logic detailed in Annex C.
Results show that:
1. Rhythmic learning cycles reduce informational entropy while improving coherence;
2. Creativity peaks at energetic equilibrium;
3. Cross-modal transfer between perception and language enhances adaptability; and
4. Ethical energy regulation functions as a physical limit sustaining long-term cognition.
These findings, while conceptual, demonstrate the theoretical viability of resonant ethics as a measurable component of intelligence. By providing executable code in open form (Annex D–F), the paper transforms theory into an interactive experiment—an embodiment of VerbaTerra’s belief that knowledge must remain participatory, transparent, and rhythmic.
Keywords VerbaTerra Project · Neuromorphic Adaptation · Resonant Coherence · Cognitive Parallelism · vSION Engine · Cultural Feedback · Ethical Damping · Secondary Data Simulation · Open Science · Cognitive Sustainability
Field Sociology > Linguistic / Literature
Published In Volume 6, Issue 6, November-December 2025
Published On 2025-11-10
DOI https://doi.org/10.63363/aijfr.2025.v06i06.2067
Short DOI https://doi.org/hbbz7w
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