Steven Bressler

  • Interim Director & Professor
  • Department of Psychology
  • 561-297-2227
  • Boca Raton - BS-12, 323


  • Ph.D., Berkeley, 1982
  • BA, Johns Hopkins University, 1972

Research Interests

The Cognitive Neurodynamics Laboratory is a research group within the Center for Complex Systems and Brain Sciences at Florida Atlantic University. The central goal of  our laboratory is to understand the spatio-temporal dynamics of brain activity as it relates to cognition. Our theoretical and experimental studies focus on the investigation of large-scale networks in the cerebral cortex.

Research Description

Dr. Steven L. Bressler is Professor of Complex Systems and Brain Sciences, and Psychology at Florida Atlantic University. He directs the Cognitive Neurodynamics Laboratory in the Center for Complex Systems and Brain Sciences. He received his B.A. from The Johns Hopkins University, his Ph.D. from the University of California, Berkeley, and his postdoctoral training in the EEG Systems Laboratory at the University of California, San Francisco. He has made substantial contributions to the field of large-scale neural networks in the brain, with papers cited over 7500 times in leading research journals. His papers have been published in Nature (1993), Science (1983, 1987, 2012), and the Proceedings of the National Academy of Sciences USA (2004). He served on the Board of Governors of INNS from 2009 to 2011, is an Action Editor for Neural Networks, and is on the editorial board of Computational Intelligence and Neuroscience. He has organized or co-organized a number of conferences on large-scale brain networks, including the 2007 NSF Conference on Brain Network Dynamics, the 2009 Symposium on Top-Down Mechanisms of Visual Attention, the 2010 NSF Conference on Neurocognitive  Networks, the 2011 International Joint Conference on Neural Networks, and the 2011 NSF Symposium on From Brains to Machines at IJCNN11.

Recent Publications

Mannino M, Bressler SL. Foundational perspectives on causality in large-scale brain networks. Physics of Life Reviews, 2015, in press.
Montani F, Rosso OA, Matias F, Bressler SL, Mirasso CR. A symbolic information approach to determine anticipated and delayed synchronization in neuronal circuit models. Philosophical Transactions A, 2015, in press.
Asemi A, Diwadkar VA, Bressler SL. Anterior cingulate cortex modulates supplementary motor area in coordinated unimanual behavior. Frontiers in Human Neuroscience, 2015, 9:309.
Fuster JM, Bressler SL. Past makes future: role of pFC in prediction. 2014, Journal of Cognitive Neuroscience, 27:639-654.
Jackson J, Amilhon B, Goutagny R, Bott J-B, Manseau F, Kortlevel C, Bressler SL, Williams S. Reversal of theta rhythm flow through intact hippocampal circuits. 2014, Nature Neuroscience, doi:10.1038/nn.3803, 17:1362-1370.
Bressler SL, Richter CG. Interareal oscillatory synchronization in top-down neocortical processing. 2015, Current Opinion in Neurobiology, 31:62-66.
Bressler SL. The function of neurocognitive networks. Comment on "Understanding brain networks and brain organization" by Pessoa. Physics of Life Reviews, 2014, 11:438-439.
Matias FS, Gollo LL, Carelli PV, Bressler SL, Copelli M, Mirasso CR. Modeling positive Granger causality and negative phase lag between cortical areas. NeuroImage, 2014, 99:411-4181
Salazar RF, Dotson NM, Bressler SL, Gray CM.  Content specific fronto-parietal synchronization during visual working memory. Science, 2012, 338:1097-1100.
Meehan T, Bressler SL. Neurocognitive networks: findings, models, and theory. Neuroscience and Biobehavioral Reviews, 2012, 36:2232-2247
Ledberg A, Montagnini A, Coppola R, Bressler SL. Reduced variability of ongoing and evoked cortical activity leads to improved behavioral performance. PLoS One, 2012, 7(8):e43166.
Tang W, Bressler SL, Sylvester CM, Shulman GL, Corbetta M. Measuring Granger causality between cortical regions from voxelwise fMRI BOLD signals with LASSO. PLoS Computational Biology, 2012, 8(5):e1002513.
Fuster JM, Bressler SL. Cognit activation: a mechanism enabling temporal integration in working memory. Trends in Cognitive Sciences, 2012, 16:207-218.
Simpson GV, Weber DL, Dale CL, Pantazis D, Bressler SL, Leahy RM, Luks TL. Dynamic activation of frontal, parietal and sensory regions underlying anticipatory visual spatial attention. Journal of Neuroscience, 2011, 31:13880-13889.
Bressler SL, Seth AK. Wiener-Granger causality: a well established methodology. NeuroImage, 2011, 58:323-329.
Woodman M, Perdikis D, Pillai AS, Dodel S, Huys R, Bressler S, Jirsa V. Building neurocognitive networks with a distributed functional architecture. Advances in Experimental Medicine and Biology, 2011, 718:101-109.
Bressler SL, Menon, V. Large-scale brain networks in cognition: emerging methods and principles. Trends in Cognitive Sciences, 2010, 14:277-290.
Hui HB, Pantazis D, Bressler SL, Leahy RM. Identifying true cortical interactions in MEG using the nulling beamformer. NeuroImage, 2010, 49:3161-3174.
Kozma R, Bressler SL, Perlovsky L, Venayagamoorthy GK. Advances in neural networks research: an introduction. Neural Networks, 2009, 22:489-490.
Bressler SL. The sensory component of tonic motor control. Clinical Neurophysiology, 2009, 120:1035-1036.
Bressler SL, Richter CG. Large-scale cortical network coordination: a proposal for the neural substrate of expectancy. New Mathematics and Natural Computation, 2009, 5:47-59.
Chen Y, Bressler SL, Ding M. Dynamics on networks: assessing functional connectivity with Granger causality. Computational and Mathematical Organization Theory, 2009, 15:329-350.
Xu L, Stoica P, Li J, Bressler SL, Shao X, Ding M. ASEO: A method for the simultaneous estimation of single-trial event-related potentials and ongoing brain activities. IEEE Transactions on Biomedical Engineering, 2009, 56:111-121.
Bressler SL. Neurocognitive networks. Scholarpedia, 2008, 3(2):1567.
Bressler SL, Tang W, Sylvester C, Shulman G, Corbetta M. Top-down control of human visual cortex by frontal and parietal cortex in anticipatory visual spatial attention. Journal of Neuroscience, 2008, 28:10056-10061.
Cui J, Xu L, Bressler SL, Ding M, Liang H. BSMART: a MATLAB/C toolbox for analysis of multichannel neural time series. Neural Networks, 2008, 21:1094-1104.
Zhang Y, Chen Y, Bressler SL, Ding M. Response preparation and inhibition: the role of the cortical sensorimotor beta rhythm. Neuroscience, 2008, 156:238-246.
Zhang Y, Wang X, Bressler SL, Chen Y, Ding M. Prestimulus cortical activity is correlated with speed of visuomotor processing. Journal of Cognitive Neuroscience, 2008, 20:1915-1925.



The Clinical Potential of EEG Functional Connectivity Analysis, 18th International Organization of Psychophysiology World Congress, Havana, Cuba, September 2, 2016

AutoRegressive Modeling of Directed Functional Connectivity in the Brain, 18th International Organization of Psychophysiology World Congress, Havana, Cuba, August 30, 2016.

Source-Resolved Connectivity Analysis, 14th International Brain Connectivity Workshop, University of California, San Diego, June 12, 2015.

Spectral Methods in EEG Analysis, Keynote Address, Brainstorm Workshop, Florida International University, October 13, 2014.

Top-Down Processing in Neurocognitive Networks, Quantitative Theories of Learning, Memory and Prediction: National Science Foundation Workshop, Arlington, VA, May 8, 2014.

Beta Synchrony in Visual Expectation, Krasnow Institute, George Mason University, May 7, 2014.

Beta Synchrony and Top-Down Feedforward Processing in Visual Expectation, Workshop on Connections & Communications in the Brain, Banbury Center, Cold Spring Harbor Laboratory, April 7, 2014 

Neurocognitive Networks and Task Set, Purdue University, February 3, 2014. 

Dynamic Function Interactions in Cerebral Cortex, FAU Neuroscience Colloquium Series, January 14, 2014.

Workshop on Directed Functional Connectivity Analysis using Wiener-Granger Causality, SFB Methods Academy, Medical University Hamburg-Eppendorf, December 5, 2013