Gamma-Band Neural Oscillations and the Temporal Binding Hypothesis: A Survey for AI Architecture Design

Overview This paper presents a systematic survey of three interrelated bodies of established neuroscientific and mathematical literature, conducted from the explicit perspective of an independent AI researcher investigating the neuroscientific foundations of biologically-grounded cognitive system design. No proprietary system design, unpublished technical implementation, or pending intellectual property is disclosed herein. Scope The survey covers: (1) the gamma-band neural oscillation literature (30–100 Hz), including the foundational empirical observations of oscillatory synchrony in visual cortex by Gray, Singer, and colleagues; (2) the temporal binding hypothesis and the binding-by-synchrony framework, the Communication Through Coherence framework proposed by Fries (2005, 2015), frequency-specific information routing in the hippocampus demonstrated by Colgin et al. (2009), and the cellular and circuit mechanisms of gamma generation characterised by Buzsáki and Wang (2012); and (3) the Kuramoto model of coupled oscillator populations as a mathematical framework for analysing synchronisation phenomena in biological neural systems, including the order parameter formalism, the phase transition at critical coupling, and extensions to biological network topologies, time-delayed coupling, and stochastic dynamics. Principal Critique Addressed The survey gives substantive treatment to the principal critique of the temporal binding hypothesis advanced by Shadlen and Movshon (1999) and traces the dialectical response — most importantly Fries's Communication Through Coherence framework — that reframed the research question and led to more robust empirical support. Architectural Implications The concluding section derives a set of conceptual design principles for multi-module AI architectures from the surveyed neuroscience and mathematics: coordination without centralisation, coherence-gated inter-module communication, order parameter-based monitoring of collective coordination state, and hierarchical multiplexing of timescales. These are presented as motivated design principles only. No specific technical implementation is described or implied. Structure 10 sections · 8 figures · 28 references · ~10,000 words · Compliant with ISO 214, ISO 215, ISO 690, and APA 7th Edition citation standards. Declaration The author declares no competing interests and no funding was received for this work. This preprint has been submitted concurrently for peer review at Frontiers in Computational Neuroscience.