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Architecture has an ability to shape us and focus on forms and efficiency yet frequently ignores relationships between the form and cognition. This negligence creates lost opportunities for creating a link between action and perception, embodiment and aesthetics, imagination and empathy. Architecture is frequently not empathetic, lacking meaning to far

Architecture has an ability to shape us and focus on forms and efficiency yet frequently ignores relationships between the form and cognition. This negligence creates lost opportunities for creating a link between action and perception, embodiment and aesthetics, imagination and empathy. Architecture is frequently not empathetic, lacking meaning to far too many people. Considering the application of neuroscience in architecture to nurture psychological and physiological response to architecture may be key to fostering healthy and positive relationships with space. Another connection that comes up in neuro-scientific research is how creativity plays into design and the understanding of design. Often, creativity is accompanied by metaphor, and neuroscientist Ramachandran is particularly interested in this. A curious phenomenon he has focused on is synaesthesia, Synaesthesia is a Greek-based word, syn meaning joined and aisthesis meaning sensation. It occurs when "Stimulation of one sensory modality automatically triggers perception in a second modality in the absence of any direct stimulation to this modality." Further, the study and application of synaesthetic properties can help achieve this goal. Through the application of neuro-scientific research directed towards architecture, "Neuroarchitecture" is a possible tool that can create architecture that invokes positive responses in occupants. Through the consideration of building elements, natural forces, equal understanding, and synaesthesia, "neuroarchitecture" can be successful. Thus, with the consideration of neuroscience and synaesthesia there is a possibility of understanding what creates the certain emotions that one experiences in a space, and why people like certain places more than others. In a lecture covering this topic at Arizona State University's Design School, designer Ellen Lupton showed graphic visualizations of musical synaesthesia. Bird calls were translated into exceptionally fluid ribbons of moving color that ebbed and crashed with the rise and fall of the bird call. If these experiences can be expressed through digital art, then there may be a way to express them through architecture. The project takes focus on the architecture of flux, limbo, and threshold, within the specific context of the airport. The airport is a one of a kind architecture. There is little to no other architecture that serves as a threshold from one city, state, and country to another, that is full of people from all parts of the world, and is a space of limbo. In the flux of the airport, the individual feels a multitude of emotions, joys, sadness, frustration, and stresses. Studying circulation, movement of both the inhabitant and the architecture of the airport, the project will rigorously question if architecture can be scientifically formulated to create mental effects or if they are a result of atmospheric qualities.
ContributorsPniak, Nikola (Author) / Rocchi, Elena (Thesis director) / Taylor, Christopher (Committee member) / Hejduk, Renata (Committee member) / The Design School (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Description
Previous research has showed that auditory modulation may be affected by pure tone
stimuli played prior to the onset of speech production. In this experiment, we are examining the
specificity of the auditory stimulus by implementing congruent and incongruent speech sounds in
addition to non-speech sound. Electroencephalography (EEG) data was recorded for eleven

Previous research has showed that auditory modulation may be affected by pure tone
stimuli played prior to the onset of speech production. In this experiment, we are examining the
specificity of the auditory stimulus by implementing congruent and incongruent speech sounds in
addition to non-speech sound. Electroencephalography (EEG) data was recorded for eleven adult
subjects in both speaking (speech planning) and silent reading (no speech planning) conditions.
Data analysis was accomplished manually as well as via generation of a MATLAB code to
combine data sets and calculate auditory modulation (suppression). Results of the P200
modulation showed that modulation was larger for incongruent stimuli than congruent stimuli.
However, this was not the case for the N100 modulation. The data for pure tone could not be
analyzed because the intensity of this stimulus was substantially lower than that of the speech
stimuli. Overall, the results indicated that the P200 component plays a significant role in
processing stimuli and determining the relevance of stimuli; this result is consistent with role of
P200 component in high-level analysis of speech and perceptual processing. This experiment is
ongoing, and we hope to obtain data from more subjects to support the current findings.
ContributorsTaylor, Megan Kathleen (Author) / Daliri, Ayoub (Thesis director) / Liss, Julie (Committee member) / School of Life Sciences (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
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Description
The Population Receptive Field (pRF) model is widely used to predict the location (retinotopy) and size of receptive fields on the visual space. Doing so allows for the creation of a mapping from locations in the visual field to the associated groups of neurons in the cortical region (within the

The Population Receptive Field (pRF) model is widely used to predict the location (retinotopy) and size of receptive fields on the visual space. Doing so allows for the creation of a mapping from locations in the visual field to the associated groups of neurons in the cortical region (within the visual cortex of the brain). However, using the pRF model is very time consuming. Past research has focused on the creation of Convolutional Neural Networks (CNN) to mimic the pRF model in a fraction of the time, and they have worked well under highly controlled conditions. However, these models have not been thoroughly tested on real human data. This thesis focused on adapting one of these CNNs to accurately predict the retinotopy of a real human subject using a dataset from the Human Connectome Project. The results show promise towards creating a fully functioning CNN, but they also expose new challenges that must be overcome before the model could be used to predict the retinotopy of new human subjects.
ContributorsBurgard, Braeden (Author) / Wang, Yalin (Thesis director) / Ta, Duyan (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / Computer Science and Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2022-05