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Cognitive Science - Integrative Synchronization Mechanisms in Cognitive Neuroarchitectures of Modern Connectionism (Paperback)
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Cognitive Science - Integrative Synchronization Mechanisms in Cognitive Neuroarchitectures of Modern Connectionism (Paperback)
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The Mind and Brain are usually considered as one and the same
nonlinear, complex dynamical system, in which information
processing can be described with vector and tensor transformations
and with attractors in multidimensional state spaces. Thus, an
internal neurocognitive representation concept consists of a
dynamical process which filters out statistical prototypes from the
sensorial information in terms of coherent and adaptive
n-dimensional vector fields. These prototypes serve as a basis for
dynamic, probabilistic predictions or probabilistic hypotheses on
prospective new data (see the recently introduced approach of
"predictive coding" in neurophilosophy). Furthermore, the
phenomenon of sensory and language cognition would thus be based on
a multitude of self-regulatory complex dynamics of synchronous
self-organization mechanisms, in other words, an emergent "flux
equilibrium process" ("steady state") of the total collective and
coherent neural activity resulting from the oscillatory actions of
neuronal assemblies. In perception it is shown how sensory object
informations, like the object color or the object form, can be
dynamically related together or can be integrated to a neurally
based representation of this perceptual object by means of a
synchronization mechanism ("feature binding"). In language
processing it is shown how semantic concepts and syntactic roles
can be dynamically related together or can be integrated to
neurally based systematic and compositional connectionist
representations by means of a synchronization mechanism ("variable
binding") solving the Fodor-Pylyshyn-Challenge. Since the
systemtheoretical connectionism has succeeded in modeling the
sensory objects in perception as well as systematic and
compositional representations in language processing with this
vector- and oscillation-based representation format, a new,
convincing theory of neurocognition has been developed, which
bridges the neuronal and the cognitive analysis level. The book
describes how elementary neuronal information is combined in
perception and language, so it becomes clear how the brain
processes this information to enable basic cognitive performance of
the humans.
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