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Jessica J. R. Wright
University of Toronto, St. George Campus
  1.  26
    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 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 on (...)
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  2. Brain dynamics: Modeling the whole brain in action.J. J. Wright - 2000 - In Evian Gordon (ed.), Integrative Neuroscience. Harwood Academic Publishers.
     
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  3.  12
    How Do Cortical Dynamics Organize an Anatomy of Cognition?J. J. Wright & P. Bourke - 2018 - Journal of Consciousness Studies 25 (1-2):89-120.
    Freeman's pioneering work -- and neurodynamics in general -- has largely ignored specification of an anatomical framework within which features of coherent objects are represented, associated, deleted, and manipulated in computations. Recent theoretical work suggests such a framework can emerge during embryogenesis by selection of neuron ensembles and synaptic connections that maximize the magnitude of synchrony while approaching ultra-small-world connectivity. The emergent structures correspond to those of both columnar and non-columnar cortex. With initial connections thus organized, spatio-temporal information in sensory (...)
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  4.  17
    Developing testable theories of brain dynamics: The global mode theory and experimental falsification.J. J. Wright - 2000 - Behavioral and Brain Sciences 23 (3):414-415.
    The development of theories of global cortical dynamics, using linear wave theory, owes much to the pioneering work of Nunez. His work leads to clear predictions on relations of brain size, axonal conduction velocity, and the frequencies of the cerebral rhythms. These predictions do not appear to be fulfilled, but their falsification constrains the range of parameters applicable in further formulations.
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  5.  16
    Multiscale modeling of brain dynamics depends upon approximations at each scale.J. J. Wright & D. T. J. Liley - 1996 - Behavioral and Brain Sciences 19 (2):310-320.
    We outline fresh findings that show that our macroscopic electrocorticographic simulations can account for synchronous multiunit pulse oscillations at separate, simultaneously activated cortical sites and the associated gamma-band ECoG activity. We clarify our views on the approximations of dynamic class applicable to neural events at macroscopic and microscopic scales, and the analogies drawn to classes of ANN behaviour. We accept the need to introduce memory processes and detailed anatomical and physiological information into any future developments of our simulations. On the (...)
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    How do local reverberations achieve global integration?J. J. Wright - 1995 - Behavioral and Brain Sciences 18 (4):644-645.
    Amit's Hebbian model risks being overexplanatory, since it does not depend on specific physiological modelling of cortical ANNs, but concentrates on those phenomena which are modelled by a large class of ANNs. While offering a strong demonstration of the presence of Hebb's “cell assemblies,” it does not offer an equal account of Hebb's “phase sequence” concept.
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