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  1.  50
    Local-Global Interactions and the Role of Mesoscopic (Intermediate-Range) Elements in Brain Dynamics.Walter J. Freeman & Robert Kozma - 2000 - Behavioral and Brain Sciences 23 (3):401-401.
    A unifing theory of spatiotemporal brain dynamics should incorporate multiple spatial and temporal scales. Between the microscopic (local) and macroscopic (global) components proposed by Nunez, mesoscopic (intermediate-range) elements should be integral parts of models. The corresponding mathematical formalism requires tools of nonlinear dynamics and the use of aperiodic (chaotic) attractors. Some relations between local-mesoscopic and mesoscopic-global components are outlined.
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  2.  29
    Activation Clustering in Neural and Social Networks.Marko Puljic & Robert Kozma - 2005 - Complexity 10 (4):42-50.
  3.  9
    Brain Neural Activity Patterns Yielding Numbers Are Operators, Not Representations.Walter J. Freeman & Robert Kozma - 2009 - Behavioral and Brain Sciences 32 (3-4):336.
  4.  3
    Why Do Phase Transitions Matter in Minds?Robert Kozma & Jeffery Jonathan Joshua Davis - 2018 - Journal of Consciousness Studies 25 (1-2):131-150.
    Subjective experience suggests that we continuously observe, perceive, and evaluate the environment as we make decisions and intentional actions. The percept of continuity of our cognition, however, is an illusion. In the past decades, ample experimental evidence has been accumulated indicating that cognition evolves through a sequence of discontinuities and transients, and there are discernable neural processes correlating with the cognitive sequences. These discontinuities are crucial in the intentional action-perception cycle, as they mark the cognitive 'aha' moment of deep understanding (...)
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  5.  23
    Fragmented Attractor Boundaries in the KIII Model of Sensory Information Processing: A Potential Evidence of Cantor Encoding in Cognitive Processes.Robert Kozma - 2001 - Behavioral and Brain Sciences 24 (5):820-821.
    Spatio-temporal neuro-dynamics is a quickly developing field of brain research and Tsuda's work is a significant contribution toward establishing theoretical foundations in this area. It is conceivable that the fragmented attractor landscapes and dynamical memory patterns identified earlier in various K-sets are biologically plausible manifestations of attractor ruins, chaotic itinerancy, and Cantor encoding as applied to sensory information processing.
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