Drawings and sequential images are an integral part of human expression dating back at least as far as cave paintings, and in contemporary society appear most prominently in comics. Just how is it that our brains understand this deeply rooted expressive system? Neil will present a provocative theory: that the structure and cognition of drawings and sequential images is similar to language.
Building on contemporary theories from linguistics and cognitive psychology, Neil argues that comics are “written in” a visual language of sequential images that combines with text. Like spoken and signed languages, visual narratives use a systematic visual vocabulary, strategies for combining these patterns into meaningful units, and a hierarchic grammar governing coherent sequential images. He will explore how these basic structures work, what cross-cultural research shows us about diverse visual languages of the world, and what the newest neuroscience research reveals about the overlap of how the brain comprehends language, music, and visual narratives. Altogether, this work opens up a new line of research within the linguistic and cognitive sciences, raising intriguing questions about the connections between language and the diversity of humans’ expressive behaviors in the mind and brain.
Neil Cohn is an American cognitive scientist internationally recognized for his research on the overlap of the structure and cognition of sequential images and language. He received his doctorate in Psychology from Tufts University working with the renowned linguist Ray Jackendoff. Having originally started working in the comic industry as a teenager, his creative work includes We the People (with Thom Hartmann, 2004), Meditations (2005), and A User’s Guide to Thought and Meaning (by Ray Jackendoff, 2012). In 2003 he released his first book on this research, Early Writings on Visual Language, and his most recent book, The Visual Language of Comics (Bloomsbury, 2013), introduces a broad framework for studying visual narratives in the cognitive sciences.
This talk will be held in Microsoft Building 112, second floor on Thursday Aug 14 at noon. Non-Microsoft attendees, please email firstname.lastname@example.org to RSVP.