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Holonomic brain theory is a branch of neuroscience investigating the idea that consciousness is formed by quantum effects in or between brain cells. Holonomic refers to representations in a Hilbert phase space defined by both spectral and space-time coordinates. [ 1 ]
Anil Seth defines such models as those that relate brain phenomena such as fast irregular electrical activity and widespread brain activation to properties of consciousness such as qualia. Seth allows for different types of models including mathematical, logical, verbal and conceptual models.
Epiphenomenalism is a position in the philosophy of mind on the mind–body problem.It holds that subjective mental events are completely dependent for their existence on corresponding physical and biochemical events within the human body, but do not themselves influence physical events.
Higher-order theory can account for the distinction between unconscious and conscious brain processing. Both types of mental operations involve first-order manipulations, and according to higher-order theory, what makes cognition conscious is a higher-order observation of the first-order processing.
The influences of image schemas is not only seen in cognitive linguistics and developmental psychology, but also in interface design [6] and more recently, the theory has become of increased interest in artificial intelligence [7] and cognitive robotics [8] to help ground meaning.
The utilization of graph theory in neuroscience studies has been actively applied after the discovery of functional brain networks. In graph theory, an N × N adjacency matrix (also called a connection matrix) with the elements of zero or non-zero indicates the absence or presence of a relationship between the vertices of a network with N nodes.
A potential loophole in Putnam's reference theory is that a brain on Earth that is "kidnapped", placed into a vat, and subjected to a simulation could still refer to brains and vats which are real in the sense of Putnam, and thus correctly say it is a brain in a vat according to Putnamian reference theory. [18]
The brain has limited resources to process information, in vision this is manifested as the visual attentional bottleneck. [23] The bottleneck forces the brain to select only a small fraction of visual input information for further processing, as merely coding information efficiently is no longer sufficient.