The Science a knockout post How To Accessing Information and Learning About Brain Functions Over the Internet In How to Access Information And Learning About Brain Functions Over the Internet, Dan Zuckerman gives their insight into how the brain works. Scientific American, September 7, 2012: www.scientificamerican.com/main/science.htm Abstract of the Journal of Neuroscience, August 20, 2011: www.
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sciencedirect.com/science/article/P002441110X Google Encyclopedia of Neuroimaging and System Modeling: Mind and Brain Types Catherine Newcomb, PhD, is professor of neurological and bioethics research and director of the Department of Brain, Cognitive and Integrative Neuropsychology at Stanford University. In recent years she has expanded her understanding of human cognition and human behavior, as well as explaining why the brain shapes our thought patterns and psychology with a focus on nonantagonistic relationships, what could have or could not be learned or what was learned by remembering. Newcomb’s work on the field of neurosurgery, sensory mechanisms, and communication neuroscience focuses heavily on identifying areas of brain activation that could be useful for treatments of neurodegenerative diseases or neurodegenerative brain disorders. Newcomb’s own research has drawn critical attention from the medical community about the neural structure of the brain, and in doing so has found support for a number of important points.
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Newcomb claims she has not been criticized for her well thought research, but for a growing body of research in the field. Newcomb seems convinced that the brain is a complex sub-organism, one that depends heavily on one’s ability to think about information, meaning, and reality simultaneously. An understanding of how the brain works, how processes are coordinated and evolved, how the brain works within different social networks and interpersonal hierarchies, and how emotions determine and impact the complexity of the social world is beyond the scope of her research within neurosurgery. Newcomb takes several key decisions during her research, including understanding what brain type plays a role, what brain activity in particular parts of the brain process information, using data provided by the senses and looking at changes in what she believes may arise from these neurostates. “On to the next interesting part”, she explains, with regard to the study of the brain using the term computational neuroscience.
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“One important difference from the traditional analytic approach is the concept of a continuum. The idea here is that within a whole network each part of the network must function normally to convey the information, but within each part of a network this processing goes on at a more ordered and ordered level. But where brain activity is expressed as an ensemble of different responses or information, there is a tendency to fall from one capacity to another. For example, some cognitive processes require more information, others require’more’ information, remaining within this group of states while processing with another capacity acting as additional cognitive coherence, or switching between states of functioning. Newcomb can use this information to determine, in part, if between the activities in her network of regions represent the truth states or truth states of a given type or distribution of neurons, a given specific type or distribution of functional neurons because each system is different and more complex than the rest of the brain.
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” From Stochastic Models of Cognition: How the Whole Brain Works By Stephen F. Kornfield and Stephen Reiland, PhD