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Dreaming is a state of the brain that is similar to yet different from the waking consciousness, and interaction and correlation between the two is necessary for optimal performance from both. One study conducted measuring brain activity via EEG used Hobson's AIM model to show that quantitatively dream consciousness is remarkably similar to ...
The neural correlates of consciousness (NCC) are the minimal set of neuronal events and mechanisms sufficient for the occurrence of the mental states to which they are related. [2] Neuroscientists use empirical approaches to discover neural correlates of subjective phenomena; that is, neural changes which necessarily and regularly correlate ...
Dreams and reports of dreams are produced in distinct states of consciousness resulting in a delay between the dream event and its recall while awake. During this time lag forgetting may occur resulting in an incomplete report. Forgetting is proportional to the amount of time elapsed between the experience and its recall. [2]
The Neural correlates of consciousness (NCC) formalism is used as a major step towards explaining consciousness. The NCC are defined to constitute the minimal set of neuronal events and mechanisms sufficient for a specific conscious percept, and consequently sufficient for consciousness.
Experiments and studies have been taken out to test neural correlations of lucid dreams with consciousness in dream research. Although there are many difficulties in conducting lucid dreaming research (e.g. number of lucid subjects, 'type' of lucidity achieved, etc.), there have been studies with significant results.
In psychology and cognitive neuroscience, pattern recognition is a cognitive process that matches information from a stimulus with information retrieved from memory. [1]Pattern recognition occurs when information from the environment is received and entered into short-term memory, causing automatic activation of a specific content of long-term memory.
It is a computer model of the neural correlates of consciousness programmed as a neural network. It attempts to reproduce the swarm behaviour [ clarification needed ] of the brain 's higher cognitive functions such as consciousness , decision-making [ 1 ] and the central executive functions .
Network neuroscience is an approach to understanding the structure and function of the human brain through an approach of network science, through the paradigm of graph theory. [1] A network is a connection of many brain regions that interact with each other to give rise to a particular function. [2]