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      A flexible suite of programs for modelling the cortex with a mean-field scheme

      Chang, Yuan-Kuei
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      Chang, Y.-K. (2007). A flexible suite of programs for modelling the cortex with a mean-field scheme (Thesis, Master of Engineering (ME)). The University of Waikato, Hamilton, New Zealand. Retrieved from https://hdl.handle.net/10289/2378
      Permanent Research Commons link: https://hdl.handle.net/10289/2378
      Abstract
      The cerebral cortex contains many neurons. The neuron is part of the nervous system

      and it receives and transmits the electrical signals. These signals are significant

      to a human's behaviour. Since the neurons are charged, these charges produce electrical

      fields, so these neural signals can be measured by using scalp electrodes in

      electroencephalography (EEG). As long as the brain is not dead, the spontaneous

      activities of neurons will produce a series of EEG signals.

      There are many models that have been developed for simulating the cortical signal,

      and mostly each model is focused towards a different purpose or application.

      Often, a different computer code has to be written for each different application, and

      this can be inefficient. Therefore, this project aims to develop a software system for

      simulating cortical signals where the model used for the system can be changed easily.

      Furthermore, the system is requested to be versatile and easy-to-use for many

      applications.

      The developed system is written in MATLAB in response to a user requirement

      and mostly applies to any model which uses a mean-field approach. Only the specific

      inputs need to be modified for changing the model. This thesis details how this

      system is developed. The main limitation of the system is computational resources,

      much the same as other cortical modelling. However, all the user requirements had

      been satisfied. The system can simulate the response of the neurons for any condition

      and generate simulated EEG data to the user. The user can analyze the cortical

      activities using the standard signal processing techniques such as a power spectrum.

      This software is very helpful for the research of sleep and anaesthesia.
      Date
      2007
      Type
      Thesis
      Degree Name
      Master of Engineering (ME)
      Publisher
      The University of Waikato
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