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  1. Complexity and coherency: integrating information in the brain.Giulio Tononi, Gerald M. Edelman & Olaf Sporns - 1998 - Trends in Cognitive Sciences 2 (12):474-484.
    The brains of higher mammals are extraordinary integrative devices. Signals from large numbers of functionally specialized groups of neurons distributed over many brain regions are integrated to generate a coherent, multimodal scene. Signals from the environment are integrated with ongoing, patterned neural activity that provides them with a meaningful context. We review recent advances in neurophysiology and neuroimaging that are beginning to reveal the neural mechanisms of integration. In addition, we discuss concepts and measures derived from information theory that lend (...)
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  • In search of common foundations for cortical computation.William A. Phillips & Wolf Singer - 1997 - Behavioral and Brain Sciences 20 (4):657-683.
    It is worthwhile to search for forms of coding, processing, and learning common to various cortical regions and cognitive functions. Local cortical processors may coordinate their activity by maximizing the transmission of information coherently related to the context in which it occurs, thus forming synchronized population codes. This coordination involves contextual field (CF) connections that link processors within and between cortical regions. The effects of CF connections are distinguished from those mediating receptive field (RF) input; it is shown how CFs (...)
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  • Dynamics of the brain at global and microscopic scales: Neural networks and the EEG.J. J. Wright & D. T. J. Liley - 1996 - Behavioral and Brain Sciences 19 (2):285-295.
    There is some complementarity of models for the origin of the electroencephalogram (EEG) and neural network models for information storage in brainlike systems. From the EEG models of Freeman, of Nunez, and of the authors' group we argue that the wavelike processes revealed in the EEG exhibit linear and near-equilibrium dynamics at macroscopic scale, despite extremely nonlinear – probably chaotic – dynamics at microscopic scale. Simulations of cortical neuronal interactions at global and microscopic scales are then presented. The simulations depend (...)
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  • Cortical systems for retrieval of concrete knowledge: The convergence zone framework.Antonio R. Damasio & Hannah Damasio - 1994 - In Christof Koch & Joel L. Davis (eds.), Large-Scale Neuronal Theories of the Brain. MIT Press. pp. 61--74.
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  • Constructing neuronal theories of mind.Michael I. Posner & Mary K. Rothbart - 1994 - In Christof Koch & Joel L. Davis (eds.), Large-Scale Neuronal Theories of the Brain. MIT Press. pp. 183--199.
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