What Does the Brain Tell Us About Abstract Art?

What Does the Brain Tell Us About Abstract Art?

View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Frontiers - Publisher Connector PERSPECTIVE ARTICLE published: 28 February 2014 HUMAN NEUROSCIENCE doi: 10.3389/fnhum.2014.00085 What does the brain tell us about abstract art? Vered Aviv* Faculty of Dance, The Jerusalem Academy of Music and Dance, Jerusalem, Israel Edited by: In this essay I focus on the question of why we are attracted to abstract art (perhaps more Javier DeFelipe, Cajal Institute, Spain accurately, non-representational or object-free art). After elaborating on the processing of Reviewed by: visual art in general and abstract art in particular, I discuss recent data from neuroscience Bryan A. Strange, Technical University and behavioral studies related to abstract art. I conclude with several speculations Madrid, Spain Camilo J. Cela-Conde, Universidad de concerning our apparent appeal to this particular type of art. In particular, I claim that las Islas Baleares, Spain abstract art frees our brain from the dominance of reality, enabling it to flow within its *Correspondence: inner states, create new emotional and cognitive associations, and activate brain-states Vered Aviv, Faculty of Dance, The that are otherwise harder to access. This process is apparently rewarding as it enables Jerusalem Academy of Music and the exploration of yet undiscovered inner territories of the viewer’s brain. Dance, Jerusalem 91904, Israel e-mail: [email protected] Keywords: abstract art, neuroesthetics, neural correlates of art, artistic preference, art and associations ART AND REALITY non-functional (non –“realistic”) ways. Examples are works by Over the course of human evolution, the phenomenon of art artists of the Cubist (e.g., George Braque and Pablo Picasso) appeared some 30,000 years ago and humans became increasingly or Surrealist (e.g., Salvador Dali and Juan Miro) movements. occupied with creating and appreciating works of art (Humphery, Artworks could also be only partially faithful representations of 1999; Solso, 1999). Art works are sensed and perceived via our daily visual experience, such as the monochromatic blue the same neuronal machinery and anatomical routes that were figures of Pablo Picasso or the blue horses of Franz Marc, and it primarily developed for interacting with, and comprehending, can be “free” from obeying the laws of physics (e.g., the flying “reality”. These mechanisms evolved in order for us to acquire figures of Marc Chagall or the impossible objects of E.C. Escher). and analyze sensory information from the world around us and, Apparently we categorize some inputs as artworks while others consequently, to successfully and adaptively behave in an ever- as non-art. We make this distinction based on contextual, cul- changing environment (see the “Perception Action loop” theory tural and perceptual parameters. Interestingly, a major distinction in Tishby and Polani, 2011). between perceiving an object as piece of art or as part of the The visual system, which is the vehicle that processes visual daily visual (non-art) experience, relies on the presence of artistic art, is aimed at filtering, organizing and putting (functional) style (such as the brush work of the painter) and not only on order to the enormous amount of data streaming into our visual the content of the scene (Augustin et al., 2008; Cupchik et al., system. Interestingly, at early stages of visual processing, the 2009; and see also Cavanagh and Perdreau, 2011; Di Dio et al., visual scene is deconstructed into its elementary components 2011). such as spots of light, lines, edges, simple forms, colors, move- The above notion brings to mind the unique character of ment, etc. At later (higher) stages, the system reconstructs these abstract art, which, unlike representational art and other forms components into complicated forms and objects: a moving car, of art mentioned above, does not exemplify objects or entities a face with blinking eyes, a pirouette of a dancer (Zeki, 1992; familiar to our visual system during daily life experience. Still, as Hubel, 1998). Being an efficient learning machine, our brain all visual information, abstract art is perceived via the same system uses bidirectional (“top down” and “bottom up”) processing that was developed primarily in order to functionally represent schemes and algorithms for visual scene analysis. Namely, we first real-world objects. This places abstract art in a unique position build (predict) a tentative model, an optional representation, of within visual processing—far from the natural (“survival”) role the visual world and this model is then verified and updated of that system. It is therefore intriguing to try and understand with increased accuracy against the “evidence” presented by the why we are attracted to abstract art (as demonstrated by the huge sensory stimulus (Hochstein and Ahissar, 2002; Bar, 2007; Tishby success of museum exhibitions of the abstract artwork, such as and Polani, 2011). These ongoing bidirectional processes enable those of Jackson Pollock). This must mean that abstract art, which us to make quick and effective generalizations and decisions about is a rather new human invention, offers something attractive to the world. the viewer’s brain. So I would like to ask: what does abstract art In contrast to the processing of daily objects, art is free from offer to the viewer’s mind? the functional restrictions imposed on the visual system during It should be noted that this article focuses on the two ends of our daily life. Art is very often engaged in finding new ways a continuum between representational art and abstract art, and to organize and represent objects and scenery. Artists are liber- therefore not relating to the in-between category of paintings, i.e., ated to represent and to decompose depicted objects in various semi-representational or semi-abstract works. Frontiers in Human Neuroscience www.frontiersin.org February 2014 | Volume 8 | Article 85 | 1 Aviv Abstract art and brain NEURAL AND BEHAVIORAL CORRELATES OF ART/ABSTRACT The idea that knowledge and experience facilitate the process- ART ing of the visual stimuli was also evident in the work of Solso A fundamental assumption of modern brain research is that each (2000). Solso monitored brain activity of a portrait-artist (via action in mental/cognitive/emotional realms is correlated with a fMRI) while he drew faces, and compared the artist’s brain activity corresponding specific brain activity pattern. Each activity repre- with that of a non-artist who was drawing the same faces. Brain sents and generates the resultant experience. It is therefore worth activity of the artist revealed less activity in face processing areas seeking for the neural correlates of the abstract art experience (posterior parietal) than that of the non-artists. This lower level and attempting to extract the principles underlying the neural of activation of the artist’s face recognition area indicates that he processing of this form of art. may be more efficient in the processing of facial features than the In an fMRI imaging study, Kawabata and Zeki(2004) demon- novice. strated that different categories of painting—landscape, portrait From the above experiments one may conclude that abstract and still life—evoked activity at localized and category-specific art, stylistic knowledge and experience all seems to reduce cortical brain regions. In contrast, abstract art did not activate a unique brain activity as compared to the relevant controls (represen- localized brain region. Rather, brain activity related to abstract art tational art, stylistic knowledge and novice, correspondingly). appeared in brain regions activated by all other categories as well. These results indicate that the analysis of abstract art evokes less Thus, when subtracting the fMRI signal generated by abstract art focal brain activation. from signals generated by representative art of the various types The study by Vartanian and Goel(2004), presents some (landscape, portraits, still life) then zero activity was observed. evidence that a reduction in subjective aesthetic preference is This is surprising as one might assume that there would be correlated with decreased activity in certain brain areas involved neural correlates (i.e., specific brain activity) for the specific with reward systems, whereas greater aesthetic preference evoked cognitive category recognition of abstract art. On the other hand, larger activity in other brain areas, involved with emotional because abstract art does not consist of clear well-characterized valence and attention. They found that, in general, representa- objects, but rather is composed of basic visual elements such as tional paintings were preferred over abstract paintings. Corre- lines, spots, color patches and simple forms such as triangles, one lating brain activity (via fMRI) with aesthetic preference, the might expect the activity corresponding to these basic elements researches demonstrated that activation in the right caudate to also appear in other categories of brain activity. In this case, nucleus decreased with decreasing preference, while the activation we should not expect a unique brain activity related to abstract of fMRI signals in bilateral occipital gyri, left cingulate sulcus art as indeed was found by Kawabata and Zeki(2004) as well as and bilateral fusiform gyri, all increased in response to increasing by Vartanian and Goel(2004). To put it differently, it seems that preference. These results imply that, because abstract art is less we know that we view abstract art by realizing that what we view preferred by the observer, there is less reward, less emotional does not belong to any other specific category of art. Namely, we valence and reduced attention, all of which results in reduced recognize abstract art by exclusion. brain activity. In addition to fMRI studies, abstract art was also stud- It has been claimed that during the processing of art works, two ied by behavioral and by direct voltage electroencephalogaphy different aspects take place—the processing of pictorial content (DC-EEG) methods.

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