Projects per year
Personal profile
Biography
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 www.comp-engine.org/timeseries.
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Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research area keywords
- community detection
- connectome
- dynamical models
- machine learning
- network analysis
- sleep
- time series
- time-series analysis
Collaborations and top research areas from the last five years
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Integrating theory-guided and data-driven approaches for measuring consciousness
Tsuchiya, N., Fulcher, B., Carter, O. L., Andrillon, T. & Hogendoorn, H.
National Health and Medical Research Council (NHMRC) (Australia)
1/01/20 → 31/12/24
Project: Research
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LABORATORY-BASED DEVELOPMENT OF SYSTEMS AND BIOMARKERS TO ASSESS CIRCADIAN, SLEEP AND ALERTNESS STATES.
Anderson, C., Wilson Rajaratnam, S., Lockley, S., Cain, S., Gilbert, A., Maxik, F., Ftouni, S., Reynolds, K. J., Randhawa, S., Howard, M. E., Fulcher, B., Robinson, P. A., Smith, I., Gooley, J., Vakulin, A., D'Rozario, A., Dalton, C., Maruff, P. T., Irwin, B., Hocking, C., Pittman, S., Walker, J. & Tierney, P.
1/07/14 → 30/06/17
Project: Research
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Geometric constraints on human brain function
Pang, J. C., Aquino, K. M., Oldehinkel, M., Robinson, P. A., Fulcher, B. D., Breakspear, M. & Fornito, A., 15 Jun 2023, In: Nature. 618, p. 566–574 30 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access77 Citations (Scopus) -
Individuals with problem gambling and obsessive-compulsive disorder learn through distinct reinforcement mechanisms
Suzuki, S., Zhang, X., Dezfouli, A., Braganza, L., Fulcher, B. D., Parkes, L., Fontenelle, L. F., Harrison, B. J., Murawski, C., Yücel, M. & Suo, C., 1 Mar 2023, In: PLoS Biology. 21, 3, 26 p., e3002031.Research output: Contribution to journal › Article › Research › peer-review
Open Access4 Citations (Scopus) -
Network-Based Spreading of Gray Matter Changes Across Different Stages of Psychosis
Chopra, S., Segal, A., Oldham, S., Holmes, A., Sabaroedin, K., Orchard, E. R., Francey, S. M., O'Donoghue, B., Cropley, V., Nelson, B., Graham, J., Baldwin, L., Tiego, J., Yuen, H. P., Allott, K., Alvarez-Jimenez, M., Harrigan, S., Fulcher, B. D., Aquino, K., Pantelis, C., & 4 others , 6 Dec 2023, In: JAMA Psychiatry. 80, 12, p. 1246-1257 12 p.Research output: Contribution to journal › Article › Research › peer-review
5 Citations (Scopus) -
Unifying pairwise interactions in complex dynamics
Cliff, O. M., Bryant, A. G., Lizier, J. T., Tsuchiya, N. & Fulcher, B. D., 2023, In: Nature Computational Science. 3, 10, p. 883-893 11 p.Research output: Contribution to journal › Article › Research › peer-review
1 Citation (Scopus) -
Beyond traditional sleep scoring: Massive feature extraction and data-driven clustering of sleep time series
Decat, N., Walter, J., Koh, Z. H., Sribanditmongkol, P., Fulcher, B. D., Windt, J. M., Andrillon, T. & Tsuchiya, N., Oct 2022, In: Sleep Medicine. 98, p. 39-52 14 p.Research output: Contribution to journal › Article › Research › peer-review
12 Citations (Scopus)