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.
The brain is an information processing machine adjusting itself to the environment. Information processing can be defined as reducing uncertainty. It has been suggested that the brain developed from an evolutionary point of view once living creatures started moving around in a changing and thus uncertain environment.
Dr Natalie Challis has found that effective treatment of Neurobehavioural disorders require a 4 pillared approach: Brain – QEEG and an individualised Loreta Neurofeedback protocol, Body – The clinical application of functional neurology focuses on regulating the activity of the brain, which stimulates changes throughout the nervous system, Behaviour – Working with an educational specialist, and a psychologist, to reinforce the neurological change into behaviour and Balance – Both the gut and brain originate early in embryogenesis from the same clump of tissue, which divides during fetal development.