SC4 Neural and Behavioural Correlates of Creativity
Course content: (give an outline of what the course covers. If already foreseeable, ordered by sessions)
We will attempt to answer the following key questions:
What is creativity? – We start with the definition of creativity.
How can we measure it? – We introduce varieties of assessment techniques that can
be used to measure creativity.
Can we model it? - We will discuss various models (both componential and
computational) of creativity.
Where is it located in the brain? - We will present latest neuroscientific findings on
the neural correlates of creativity and creative cognitions.
Can we enhance it? - Finally we will discuss various techniques, both behavioural and
neural, of modulating creativity.
By the end of the lecture series, the participants will be able to demonstrate an understanding of the:
(i) broad concept(s) of creativity
(ii) standard behavioural assessments of creativity
(iii) neurophysiological basis of creativity and creative cognitions
(iv) possibilities of modulating creativity and its constituent cognitive processes
A Dietrich, R Kanso (2010) A review of EEG, ERP, and neuroimaging studies of creativity and insight. Psychological Bulletin 136(5): 822-848.
RE Jung, BS Mead, J Carrasco, RA Flores (2013) The structure of creative cognition in the human brain. Frontiers Human Neuroscience 7: 330.
JC Kaufman, JA Plucker, J Baer (2008) Essentials of Creativity Assessment. John Wiley & Sons.
J Kounios, M Beeman (2014) The cognitive neuroscience of insight. Annual Review of Psychology 65: 71-93.
RK Sawyer (2012) Explaining Creativity: The Science of Innovation. Oxford University Press.
S Sandkühler, J Bhattacharya (2008) Deconstructing insight: EEG correlates of insight problem solving. PLoS ONE 3(1): e1459.
GA Wiggins, J Bhattacharya (2014) Mind the gap: an attempt to bridge computational and neuroscientific approaches to study creativity. Frontiers Human Neuroscience 8: 540.
HS 2Course requirements
Joydeep Bhattacharya is a Professor of Psychology at Goldsmiths, University of London. He is also the Head of Brain and Cognition Research Cluster and the Director of EEG Laboratory at Goldsmiths. Before joining Goldsmiths, he was affiliated with Austrian Academy of Sciences, California Institute of Technology, and Max-Plank Institute for Physics of Complex Systems. He received his doctorate in Electronics & Electrical Engineering from the Indian Institute of Technology. He has wide ranging research interests from creativity, music perception, decision making to brain oscillations, synchrony and networks. He has published over 100 research articles. His research findings are regularly covered by world word media outlets (BBC, Wall Street Journal, Economist, Guardian, New Scientist).Website