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Neuroplasticity and Nonlinear Dynamics of Cerebral Development

Neuroplasticity and Nonlinear Dynamics of Cerebral Development

The size and complexity of the nervous system makes it unlikely that changes in a single synapse result in significant changes in the behaviour of an interconnected neural network. Significant changes in neural network behaviour require changes in populations of synapses, defined as multiple synaptic modifications occurring simultaneously at multiple sites. The goal of the presentation is to present a neural network model of human cerebral ontogenesis and to use the model to explain the development of human EEG coherence over the postnatal period from 1.5 to 16 years of age.

This model will rely on developmental cytoarchitectural findings as well as on studies of electroencephalographic development. Special emphasis will be placed on models of ‘Long-Term Potentiation’ (LTP) and ‘Long-Term Depression’ (LTD) in reentrant loop networks of the brain as well as on mechanisms of phase shift and phase lock involved in the high speed selection of neural resources.

Areas of Interest / Categories: ANSA, ANSA 2014