Personal profile


Ben Fulcher is an NHMRC early career fellow at Brain and Mental Health Laboratory (BMH) in the School of Psychological Sciences, working with A/Prof Alex Fornito. His research draws on his background in physics-based modeling of biological systems, time-series analysis, and machine learning to aid understanding of brain connectivity. Ben works on time-series structure and brain connectivity in schizophrenia and the interplay between gene expression and connectivity.

Ben Fulcher completed a B.Sc. (Adv) (Hons) at the University of Sydney with majors in Physics and Nanoscience and Technology in 2007. He went on to obtain an M.Sc. in the School of Physics at the University of Sydney in 2008 on the topic of physiologically-based modeling of sleep-wake dynamics. This work focused on extending a neuronal population-based model of the sleep-wake switch, and using it to simulate such phenomena as sleep deprivation, impulsive external stimuli, and the effect of caffeine. Dr Fulcher went on to complete a DPhil at the University of Oxford in 2012 on highly comparative time-series analysis. This work involved comparing thousands of time series collected and synthesized across the scientific disciplines, and the behavior of thousands of time-series analysis methods on these data. The research has culminated in a collaborative online platform for time-series analysis that can be found at

Related Links:


  • community detection
  • connectome
  • dynamical models
  • machine learning
  • network analysis
  • sleep
  • time series
  • time-series analysis

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2014 2018


Anderson, C., Wilson Rajaratnam, S. M., Lockley, S., Cain, S., Gilbert, A., Maxik, F., Ftouni, S., Reynolds, K. J., Randhawa, S., Howard, M., Fulcher, B. D., Robinson, P. A., Smith, A. I., Gooley, J., Vakulin, A., D'Rozario, A., Dalton, C., Maruff, P. T., Irwin, B., Hocking, C., Pittman, S., Walker, J. & Tierney, P.


Project: Research

Research Output 2008 2018

Hub connectivity, neuronal diversity, and gene expression in the Caenorhabditis elegans connectome

Arnatkeviciute, A., Fulcher, B. D., Pocock, R. & Fornito, A. 12 Feb 2018 In : PLoS Computational Biology. 14, 2, 32 p., e1005989

Research output: Research - peer-reviewArticle

Open Access

Responders to rTMS for depression show increased fronto-midline theta and theta connectivity compared to non-responders

Bailey, N. W., Hoy, K. E., Rogasch, N. C., Thomson, R. H., McQueen, S., Elliot, D., Sullivan, C. M., Fulcher, B. D., Daskalakis, Z. J. & Fitzgerald, P. B. 1 Jan 2018 In : Brain Stimulation. 11, 1, p. 190-203 14 p.

Research output: Research - peer-reviewArticle

Structural connectome topology relates to regional BOLD signal dynamics in the mouse brain

Sethi, S. S., Zerbi, V., Wenderoth, N., Fornito, A. & Fulcher, B. D. 1 Apr 2017 In : Chaos: an interdisciplinary journal of nonlinear science. 27, 4, 14 p., 047405

Research output: Research - peer-reviewArticle

Transcriptional signatures of connectomic subregions of the human striatum

Parkes, L., Fulcher, B. D., Yucel, M. & Fornito, A. 2017 (Accepted/In press) In : Genes, Brain and Behavior. 17 p.

Research output: Research - peer-reviewArticle

A transcriptional signature of hub connectivity in the mouse connectome

Fulcher, B. D. & Fornito, A. 2 Feb 2016 In : Proceedings of the National Academy of Sciences. 113, 5, p. 1435-1440 6 p.

Research output: Research - peer-reviewArticle

Open Access