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SUMMARY:Visual experience\, topology and the perception of art - Shabnam  
 Kadir (University of Hertfordshire)
DTSTART:20240403T103000Z
DTEND:20240403T112000Z
UID:TALK213757@talks.cam.ac.uk
DESCRIPTION:The brain has access to visual information via a variety of ne
 ural codes\, e.g. there are cells tuned to edge orientation\, spatial freq
 uency\, edges\, corners\, contrasts and colour. Higher cortical areas of t
 he brain are thought to then further process visual information as well as
  integrate a visual scene with other senses and the conscious mind. How th
 is visual information is combined with experience to form a holistic exper
 ience that elicits an emotional response of pleasure\, distress and/or oth
 er forms of meaning is an active research question. The human perception o
 f art and the question of what constitutes art touch upon all these elemen
 ts of perception and integration. We shall show how topology provides a vi
 tal new lens in examining these questions.\n&nbsp\;\nWe discuss recent wor
 k where methods from applied topology\, namely persistent homology of cert
 ain cubical complexes\, are applied to images produced by both a human art
 ist and a neural network shown in two exhibitions in Torun\, Poland. The i
 mages shown in the two exhibitions were matched for certain information-th
 eoretic pixel-based characteristics. Experimental measurements of EEG\, tr
 acking of eye movement\, as well as conscious perception/appreciation of t
 hese paintings were collected from a selection of visitors to these exhibi
 tions\, namely second-year art students. Our topological approach provided
  highly effective methods of disambiguation not only between artist vs. AI
 -generated art but also provided an easily computable\, information-dense 
 method to quantify the characteristics of art produced by famous modern ab
 stract painters. We speculate on how aspects of our topological approach m
 ay be insightful to Gestalt psychologists and other theories of perceptual
  integration.&nbsp\;
LOCATION:Seminar Room 1\, Newton Institute
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