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

authors: Chang, Yuan-Kuei

subjects: cortex modelling

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.

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

year: 2007

title: Fibre orientation of novel dynamically sheet formed discontinuous natural fibre PLA composites

authors: Efendy, M.G. Aruan

subjects: Science & Technology

abstract: This paper describes work carried out to fabricate and to assess the fibre orientation in PLA reinforced by aligned discontinuous harakeke and hemp fibre mats produced using a dynamic sheet former (DSF). These mats were combined with PLA sheets to make composites with fibre contents of 5–40 wt% using a hot press. It was found that the fibre orientation factors (Kθ) for both harakeke and hemp fibre composites were higher than those values seen in the literature for composites prepared using injection moulding and hot pressed using randomly oriented fibre mats, but slightly lower than the highest values obtained with aligned fibre nonwoven preform composites utilising more processing stages. The highest Kθ values for harakeke and hemp fibres in this work were found to be 0.58 and 0.44 respectively. Kθ decreased, reflecting increased fibre misalignment as fibre content increased, believed to be due to fibre agglomeration and the higher pressure required during processing.

text: Fibre orientation of novel dynamically sheet formed discontinuous natural fibre PLA composites This paper describes work carried out to fabricate and to assess the fibre orientation in PLA reinforced by aligned discontinuous harakeke and hemp fibre mats produced using a dynamic sheet former (DSF). These mats were combined with PLA sheets to make composites with fibre contents of 5–40 wt% using a hot press. It was found that the fibre orientation factors (Kθ) for both harakeke and hemp fibre composites were higher than those values seen in the literature for composites prepared using injection moulding and hot pressed using randomly oriented fibre mats, but slightly lower than the highest values obtained with aligned fibre nonwoven preform composites utilising more processing stages. The highest Kθ values for harakeke and hemp fibres in this work were found to be 0.58 and 0.44 respectively. Kθ decreased, reflecting increased fibre misalignment as fibre content increased, believed to be due to fibre agglomeration and the higher pressure required during processing.

year: 2016

title: Te whakatipu torekaihuruhuru hai ika-ā-Whiro

authors: Temara, Pou

subjects: Mana tūpuna

abstract: Kai roto i te mōteatea a Hone Tūwhare e mau ana ngā whakaaro me ngā kareāroto o tōku whakatipuranga o Tūhoe i te turakitanga a Mate i te tipua nei i a Te Rangihau i te tau 1987.  Mōwai ana te whenua, takarerewa ana te tangata. He atua te rite o Te Rangihau ki a Tūhoe. Ka kitea ia i ngā marae o Tūhoe, ka hikina te ngoi o te iwi, ka ora. Kua mate nei, tārū ana te iwi; kua hinga te rākau taumatua o ngā manu, kua hinga i te tao o te mate.

Kāore hoki i roa i muri mai o tōna wehenga atu ka whai muri ko tōna rēanga me tōna momo. Mā wai e ārahi te iwi? Mā wai e whakatika te waka ka tikoki, te iwi ka hē? Mā wai o tō mātau whakatipuranga e whakakīkī ngā whāruarua kua mahue mai nei i te ngaronga atu o tērā whakatipuranga taioreore? Koinei ngā mōhio o Tūhoe, he mana te kupu, he tapu te kōrero! Ahakoa i noho rātau ki te ako i a mātau mō te wā e ngaro ai tō rātau momo, tāupetia ana mātau e te mokemoke, he manu mahue i te kātua te rite. Ae, i reira anō ngā torekaihuruhuru e whakatore ana, engari kīhai i a rātau te mana tohunga o te rēanga ka ngaro.

text: Te whakatipu torekaihuruhuru hai ika-ā-Whiro Kai roto i te mōteatea a Hone Tūwhare e mau ana ngā whakaaro me ngā kareāroto o tōku whakatipuranga o Tūhoe i te turakitanga a Mate i te tipua nei i a Te Rangihau i te tau 1987.  Mōwai ana te whenua, takarerewa ana te tangata. He atua te rite o Te Rangihau ki a Tūhoe. Ka kitea ia i ngā marae o Tūhoe, ka hikina te ngoi o te iwi, ka ora. Kua mate nei, tārū ana te iwi; kua hinga te rākau taumatua o ngā manu, kua hinga i te tao o te mate.

Kāore hoki i roa i muri mai o tōna wehenga atu ka whai muri ko tōna rēanga me tōna momo. Mā wai e ārahi te iwi? Mā wai e whakatika te waka ka tikoki, te iwi ka hē? Mā wai o tō mātau whakatipuranga e whakakīkī ngā whāruarua kua mahue mai nei i te ngaronga atu o tērā whakatipuranga taioreore? Koinei ngā mōhio o Tūhoe, he mana te kupu, he tapu te kōrero! Ahakoa i noho rātau ki te ako i a mātau mō te wā e ngaro ai tō rātau momo, tāupetia ana mātau e te mokemoke, he manu mahue i te kātua te rite. Ae, i reira anō ngā torekaihuruhuru e whakatore ana, engari kīhai i a rātau te mana tohunga o te rēanga ka ngaro.

year: 2016