David Slater
Abstract
This work proposes a new functional model of volition that integrates empirical timing data from Libet’s experiments, the operational logic of the OODA decision cycle, and the systemic architecture of the Functional Resonance Analysis Method (FRAM). Rather than treating the brain as a collection of isolated centres responsible for discrete cognitive or emotional roles, the model conceptualises intention and action as emergent properties of dynamically synchronised neural assemblies distributed across the cortex and subcortex. These assemblies interact through rhythmic oscillatory mechanisms, forming transient system-wide avalanches that activate learned and innate behavioural pathways. The resulting framework offers a mechanistic explanation for the temporal evolution of conscious intention, veto control, action execution, and feedback learning. By grounding cognition in dynamic coupling rather than localisation, the model provides a basis for simulation, clinical insight, and the design of aligned human–AI interaction systems. By using the FRAM built system model, the natural variability of the functions can be examined systematically to determine the effects of system behaviour and performance. For example, what difference would variability in the reticular gating function have on the overall cognition process, etc. A real prospect of exploring neurodiversity scientifically?
Keywords; Volition; neural synchronisation; OODA loop; Functional Resonance Analysis Method (FRAM); predictive processing; agency; decision-making; Neurodynamics.