Modeling brain function—the world of attractor neural networks
Modeling brain function—the world of attractor neural networks
The computational brain
From complexity to creativity: explorations in evolutionary, autopoietic, and cognitive dynamics
From complexity to creativity: explorations in evolutionary, autopoietic, and cognitive dynamics
The handbook of brain theory and neural networks
Dynamics and bifurcation of neural networks
The handbook of brain theory and neural networks
Self-organization and the brain
The handbook of brain theory and neural networks
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
The Hidden Pattern: A Patternist Philosophy of Mind
The Hidden Pattern: A Patternist Philosophy of Mind
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The first and essential step in the process that generates the contents of awareness is the establishment of representational brain features-according to the NETofANs-model, this occurs through a process of multi-level self-organization and emergence in a ''network of attractor-dominated networks of neurons'' or NETofANs. We analyze how processes involving representational brain features can result in intelligent behaviors, including categorization of reality-features, conceptualization of percepts, existential-problem solving, imagination, and thought. The NETofANs-model explains ''representation'' and ''intentionality'' in terms of dynamical systems and thereby establishes a theoretical basis for the naturalization of semantics and the construction of semantic agents.