

Dr Adam BarrettEPSRC Research Fellow in Complexity Science 
Address: 
Office: Chichester I, 158 (first floor)
adam.barrettatsussexdotacdotuk 
My research makes use of mathematical methods to attempt to understand what is distinct about the particular neural structures, dynamics and functions that give rise to conscious experience. Inspired by Integrated Information Theory, a major focus of my work is on the development of potential measures of conscious level that quantify the extent to which neural dynamics simultaneously generate and integrate information. In other words, I work on modelling and developing our mathematical understanding of neural complexity, as well as deriving statistical techniques for applying abstract measures based on this concept to neuroimaging data. Datasets I have analysed include EEG recordings from subjects undergoing general anaesthesia, and intracranial depth electrode recordings from awake and asleep epileptic patients. Another subject of study is the role of metacognition in conscious awareness, and how to model and measure it at both the behavioural and neural level. I am also interersted in the study of financial and ecological stability in macroeconomics using a complex dynamical systems approach. Mainstream economic theory does not treat the macroeconomy as a complex system, assuming it to be a system that merely fluctuates around equilibrium. However in order to predict and explain economic crises, nonlinear, nonequilibrium, complex systems modelling is needed see my blog post here. Prior to the Sackler Centre for Consciousness Science, I was a postdoc at the Institute for Adaptive and Neural Computation at the University of Edinburgh. There I worked mainly on synaptic plasticity and the neural basis of learning and memory. I obtained my PhD in theoretical physics from the University of Oxford, and the topic of my thesis was string theory. For a full CV, click here. 
Selected publications
Schartner, M.M., Pigorini, A., Gibbs, S.A., Arnulfo, G., Sarasso, S., Barnett, L., Nobili, L., Massimini, M., Seth, A.K., & Barrett, A.B. (2017). Global and local complexity of intracranial EEG decreases during NREM sleep. Neurosci. Conscious. 3 (1): niw022. [view]
Barrett, A.B. (2015). Exploration of synergistic and redundant information sharing in static and dynamical Gaussian systems. Phys. Rev. E 91: 052802. [eprint]
Barrett, A.B. (2014). An integration of integrated information theory with fundamental physics. Front. Psychol. 5(63). [view]
Barrett, A.B., Dienes, Z., & Seth, A.K. (2013). Measures of metacognition on signaldetection theoretic models. Psych. Meth. 18(4): 535552. [link]
Seth, A.K., Barrett, A.B., & Barnett, L. (2011). Causal density and information integration as measures of conscious level. Phil. Trans. Roy. Soc. A, 369:37483767. [link]
Barrett, A.B., & Seth, A.K. (2011). Practical measures of integrated information for timeseries data. PLoS Comput. Biol., 7(1): e1001052. [view]
Barnett, L., Barrett, A.B., & Seth, A.K. (2009). Granger causality and transfer entropy are equivalent for Gaussian variables. Phys. Rev. Lett., 103: 238701. [link]
All publications
Bor, D., Schwartzman, D.J., Barrett, A.B., & Seth, A.K. (2017). Thetaburst transcranial magnetic stimulation to the prefrontal or parietal cortex does not impair metacognitive visual awareness. PLoS ONE 12(2): e0171793. [view]
Schartner, M.M., Pigorini, A., Gibbs, S.A., Arnulfo, G., Sarasso, S., Barnett, L., Nobili, L., Massimini, M., Seth, A.K., & Barrett, A.B. (2017). Global and local complexity of intracranial EEG decreases during NREM sleep. Neurosci. Conscious. 3 (1): niw022. [view]
Barrett, A.B. (2016). A comment on Tononi & Koch (2015) `Consciousness: here, there and everywhere?'. Phil. Trans. R. Soc. B 20140198. [view]
Schartner, M.M., Seth, A.K., Noirhomme, Q., Boly, M., Bruno, M.A., Laureys, S., & Barrett, A.B. (2015). Complexity of multidimensional spontaneous EEG decreases during propofol induced general anaesthesia. PLoS ONE 10(8): e0133532. [view]
Sherman, M.T., Seth, A.K., Barrett, A.B., & Kanai, R. (2015). Prior expectations facilitate metacognition for perceptual decision. Consciousness and Cognition 35: 5365. [preprint]
Barrett, A.B. (2015). Exploration of synergistic and redundant information sharing in static and dynamical Gaussian systems. Phys. Rev. E 91: 052802. [eprint]
Sherman, M.T., Barrett, A.B., & Kanai, R. (2015). Inferences about consciousness using subjective reports of confidence. In: Overgaard, M. (ed.) Behavioral Methods in Consciousness Research. Oxford University Press, Oxford, UK. [preprint]
Seth, A.K., Barrett, A.B., & Barnett, L. (2015). Granger causality analysis in neuroscience and neuroimaging. J. Neurosci. 35(8):32933297. [view]
Garfinkel, S.N., Seth, A.K., Barrett, A.B., Suzuki, K., & Critchley, H.D. (2015). Knowing your own heart: Distinguishing interoceptive accuracy from interoceptive awareness. Biological Psychology 104: 6574. [view]
Barrett, A.B., & Seth, A.K. (2014). Directed spectral methods. In: Jaeger, D. and Jung, R. (eds.) Encyclopedia of Computational Neuroscience. Springer, New York. [preprint]
Scott, R.B., Dienes, Z., Barrett, A.B., Bor, D., & Seth, A.K. (2014). Blind insight: metacognitive discrimination despite chance task performance. Psych. Science 25(12): 21992208. [view]
Gould C., Froese T., Barrett A.B., Ward J., & Seth A.K. (2014). An extended case study on the phenomenology of sequencespace synaesthesia. Front. Hum. Neurosci. 8:433. [view]
Vandenbroucke, A.R.E., Sligte, I.G., Barrett, A.B., Seth, A.K., Fahrenfort, J.J., & Lamme, V.A.F. (2014). Accurate metacognition for visual sensory memory representations. Psych. Science 25(4): 861873. [preprint]
Barrett, A.B. (2014). An integration of integrated information theory with fundamental physics. Front. Psychol. 5(63). [view]
Barrett, A.B., Dienes, Z., & Seth, A.K. (2013). Measures of metacognition on signaldetection theoretic models. Psych. Meth. 18(4): 535552. [link]
Garfinkel, S.N., Barrett, A.B., Minati, L., Dolan, R.J., Seth, A.K. & Critchley, H.D. (2013). What the heart forgets: Cardiac timing influences memory for words and is modulated by metacognition and interoceptive sensitivity. Psychophysiology 50(6): 505512. [preprint]
Barrett, A.B., & Barnett, L. (2013). Granger causality is designed to measure effect, not mechanism. Frontiers in Neuroinformatics 7(6). [view]
van Rossum, M.C.W., Shippi, M., & Barrett, A.B. (2012). Softbound synaptic plasticity outperforms hardbound plasticity for a variety of learning paradigms. PLoS Comput. Biol. 8(12): e1002836. [view]
FeldwischDrentrup, H., Barrett, A.B., Smith, M.T., & van Rossum, M.C.W. (2012). Fluctuations in the open time of synaptic channels: an application to noise analysis based on charge. J. Neurosci. Meth. 210(1): 1521. [pdf]
Barrett, A.B., Murphy, M., Bruno, M.A., Noirhomme, Q., Boly, M., Laureys, S., & Seth, A.K. (2012). Granger causality analysis of steadystate electroencephalographic signals during propofolinduced anaesthesia. PLoS ONE, 7(1): e29072. [view]
Seth, A.K., Barrett, A.B., & Barnett, L. (2011). Causal density and information integration as measures of conscious level. Phil. Trans. Roy. Soc. A, 369:37483767.[link]
Froese, T., Gould, C., & Barrett, A.B. (2011). ReViewing from Within: A commentary on the use of first and secondperson methods in the science of consciousness. Constructivist Foundations, 6(2): 254269. [pdf]
Barrett, A.B., & Seth, A.K. (2011). Practical measures of integrated information for timeseries data. PLoS Comput. Biol., 7(1): e1001052. [view]
Seth, A.K., & Barrett, A.B. (2010). Neural theories need to account for, not discount, introspection and behaviour. Cog. Neurosci., 1(3):227228. [link]
Barrett, A.B., Barnett, L., & Seth, A.K. (2010). Multivariate Granger causality and generalized variance. Phys. Rev. E, 81: 041907. [link]
Cortes, J.M., Greve, A., Barrett, A.B., & van Rossum, M.C.W. (2010). Dynamics and robustness of familiarity memory. Neural Comput., 22(2):448466. [preprint]
Barnett, L., Barrett, A.B., & Seth, A.K. (2009). Granger causality and transfer entropy are equivalent for Gaussian variables. Phys. Rev. Lett., 103: 238701. [link]
beim Graben, P., Barrett, A.B., & Atmanspacher, H. (2009). Stability criteria for the contextual emergence of macrostates in neural networks. Network: Computation in Neural Systems, 20(3): 177195. [preprint]
Barrett, A.B., Billings, G.O., Morris, R.G.M., & van Rossum, M.C.W. (2009). State based model of longterm potentiation and synaptic tagging and capture. PLoS Comput. Biol., 5(1): e1000259. [view]
Barrett, A.B., & van Rossum, M.C.W. (2008). Optimal learning rules for discrete synapses. PLoS Comput. Biol., 4(11), e1000230. [view]
Physics
"Mtheory on Manifolds with G2 Holonomy", A.B. Barrett, DPhil thesis, University of Oxford, UK (2006). [eprint]
"Fourdimensional Effective Mtheory on a Singular G2 Manifold", (A.B. Barrett primary author; A. Lukas senior author; L.B Anderson and M. Yamaguchi coauthors), Phys. Rev. D, 74, 086008 (2006). [eprint]
"MTheory on the Orbifold C2/ZN", (A.B. Barrett primary author; A. Lukas senior author; L.B Anderson coauthor), Phys. Rev. D, 73, 106011 (2006). [eprint]
"Classification and Moduli Kaehler Potentials of G2 Manifolds", (A.B. Barrett primary author; A. Lukas senior author), Phys. Rev. D, 71, 046004 (2005). [eprint]