The Eye's mind - Visual imagination, neuroscience and the humanities

This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this recordThis work was supported by funding from the Arts and Humanities Research Council through a Science in Culture Innovation Award: The Eye's Mind – a study of the neural basis of visual imagination and of its role in culture (Reference AH/M002756/1)

Deep Learning Architect: Classification for Architectural Design through the Eye of Artificial Intelligence

This paper applies state-of-the-art techniques in deep learning and computer vision to measure visual similarities between architectural designs by different architects. Using a dataset consisting of web scraped images and an original collection of images of architectural works, we first train a deep convolutional neural network (DCNN) model capable of achieving 73% accuracy in classifying works belonging to 34 different architects. Through examining the weights in the trained DCNN model, we are able to quantitatively measure the visual similarities between architects that are implicitly learned by our model. Using this measure, we cluster architects that are identified to be similar and compare our findings to conventional classification made by architectural historians and theorists. Our clustering of architectural designs remarkably corroborates conventional views in architectural history, and the learned architectural features also coheres with the traditional understanding of architectural designs.Comment: 22 pages, 5 figures, 4 table

Plural imagination: diversity in mind and making

This is the author accepted manuscriptThe experience of visual mental imagery—seeing in the mind’s eye—varies widely between individuals, but perhaps because we tend to assume our own way of thinking to be everyone’s, how this crucial variation impacts art practice, and indeed art history, has barely been addressed. We seek to correct this omission by pursuing the implications of how artists with aphantasia (the absence of mental imagery) and hyperphantasia (imagery of extreme vividness) describe their working processes. The findings remind us of the need to challenge normative, universalizing models of art making and art maker.Arts and Humanities Research Counci

Conceptualizing world art studies: an introduction

Item does not contain fulltextThis special issue aims to contribute to the conceptualization of World Art Studies. The first two articles offer evaluative views from art history, the third and fourth perspectives from anthropology, the fifth and sixth arguments for including neo-evolutionary and neurological studies in understanding world art as a universal human behavior