Malmö University
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Konkretisering av arbetet för att systematiskt och med språkets hjälp bygga upp och befästa de matematiska begreppen
No full textStipendiat 1994
Glamourized Houses : Neutra, Photography, and the Kaufmann House
No full textThe current debate on reproduction and architectural publication has established new terms for the examination of architectural photographs. No longer treated simply as a species of architectural documentation-such as renderings or plans- photographs of buildings are acknowledged as sharing in the cultural power of the photographic medium and must consequently be examined as a form of social production. The publication of Richard Neutra's 1946 Kaufmann house reveals the power of the print media in the establishment of an architectural canon; moreover Neutra's habit of reworking photographs of his built designs suggests the appropriateness of reexamining his contribution to the legacy of involving photography and the media in the architectural process
Gatha - Gita. A Genre Study
No full textThe article studies the development and relationship between the concept of gatha and gita. It also tries to give a picture of the vedic gatha literature and the gathas of the Avesta and its relationship to the gita literature in general and the Bhagavadgita in particular
Bimodal pilot study on inner speech decoding reveals the potential of combining EEG and fMRI
No full textThis paper presents the first publicly available bimodal electroencephalography (EEG) / functional magnetic resonance imaging (fMRI) dataset and an open source benchmark for inner speech decoding. Decoding inner speech or thought (expressed through a voice without actual speaking); is a challenge with typical results close to chance level. The dataset comprises 1280 trials (4 subjects, 8 stimuli = 2 categories * 4 words, and 40 trials per stimuli) in each modality. The pilot study reports for the binary classification, a mean accuracy of 71.72\% when combining the two modalities (EEG and fMRI), compared to 62.81% and 56.17% when using EEG, resp. fMRI alone. The same improvement in performance for word classification (8 classes) can be observed (30.29% with combination, 22.19%, and 17.50% without). As such, this paper demonstrates that combining EEG with fMRI is a promising direction for inner speech decoding