Publications

Here we list some key research publications from the Dynamics and Neural Systems Group.

For BD Fulcher’s full publication list, see Google Scholar.

We include a link to the journal article, alongside a link to an associated YouTube presentation or explainer video, and any associated news article or plain-language summary.

Recent Highlights

Unifying concepts in information-theoretic time-series analysis

A.G. Bryant, O.M. Cliff, J.M. Shine, B.D. Fulcher, J.T. Lizier

Journal of the Royal Society Interface (2026).

pyhctsa: A Python package for highly comparative time-series analysis

J.B. Moore, B.D. Fulcher

Journal of Open Source Software (2026).

Statistical comparisons of time-series feature sets on classification tasks

T. Henderson, B.D. Fulcher

arXiv (2026).

Feature-Based Time-Series Analysis in R using the theft Package

T. Henderson, B.D. Fulcher

The R Journal (2025).

Using matrix-product states for time-series machine learning

J.B. Moore, H.P. Stackhouse, B.D. Fulcher, S. Mahmoodian

Physical Review Research (2025).

YouTube
Benchmarking overlapping community detection methods for applications in human connectomics

A.G. Bryant*, A. Jha*, S. Agarwal, P. Cahill, B. Lam, S.G. Oldham, A. Arnatkeviciute, A. Fornito, B.D. Fulcher

Network Neuroscience (2025).

YouTube
A feature-based information-theoretic approach for detecting interpretable, long-timescale pairwise interactions from time series

A. Nguyen, O. McMullin, J.T. Lizier, B.D. Fulcher

Physical Review Research (2025).

Identifying statistical indicators of temporal asymmetry using a data-driven approach

T. Dalle Nogare, B.D. Fulcher

Physical Review Research (2025).

YouTube
Tracking the Distance to Criticality in Systems with Unknown Noise

B. Harris, L. Gollo, B.D. Fulcher

Physical Review X (2024).

Media Article YouTube
Extracting interpretable signatures of whole-brain dynamics through systematic comparison

A.G. Bryant, K. Aquino, L. Parkes, A. Fornito, B.D. Fulcher

PLOS Computational Biology (2024).

YouTube
Parameter inference from a non-stationary unknown process

K. Owens, B.D. Fulcher

Chaos (2024).

More from our group

Unifying concepts in information-theoretic time-series analysis
A.G. Bryant, O.M. Cliff, J.M. Shine, B.D. Fulcher, J.T. Lizier
Journal of the Royal Society Interface (2026).
pyhctsa: A Python package for highly comparative time-series analysis
J.B. Moore, B.D. Fulcher
Journal of Open Source Software (2026).
Statistical comparisons of time-series feature sets on classification tasks
T. Henderson, B.D. Fulcher
arXiv (2026).
Parameter inference from a non-stationary unknown process using statistical feature-based slow feature analysis
K. Owens, M. Tamaki, B.D. Fulcher
arXiv (2026).
Feature-Based Time-Series Analysis in R using the theft Package
T. Henderson, B.D. Fulcher
The R Journal (2025).
Using matrix-product states for time-series machine learning
J.B. Moore, H.P. Stackhouse, B.D. Fulcher, S. Mahmoodian
Physical Review Research (2025).
Canonical time-series features for characterizing biologically informative dynamical patterns in fMRI
I. Alam, B. Harris, P. Cahill, O. Cliff, M. Markicevic, V. Zerbi, B.D. Fulcher
Aperture Neuroscience (2025).
Benchmarking overlapping community detection methods for applications in human connectomics
A.G. Bryant*, A. Jha*, S. Agarwal, P. Cahill, B. Lam, S.G. Oldham, A. Arnatkeviciute, A. Fornito, B.D. Fulcher
Network Neuroscience (2025).
A feature-based information-theoretic approach for detecting interpretable, long-timescale pairwise interactions from time series
A. Nguyen, O. McMullin, J.T. Lizier, B.D. Fulcher
Physical Review Research (2025).
Identifying statistical indicators of temporal asymmetry using a data-driven approach
T. Dalle Nogare, B.D. Fulcher
Physical Review Research (2025).
Synchrony, oscillations, and phase relationships in collective neuronal activity: a highly comparative overview of methods
F. Baroni, B.D. Fulcher
PLOS Computational Biology (2025).
On the information-theoretic formulation of network participation
P. Cajic, D. Agius, O.M. Cliff, J.M. Shine, J.T. Lizier, B.D. Fulcher
Journal of Physics Complexity (2024).
Analyzing the Brain’s Dynamic Response to Targeted Stimulation using Generative Modeling
R. Maran, E.J. Müller, B.D. Fulcher
Network Neuroscience (2024).
Tracking the Distance to Criticality in Systems with Unknown Noise
B. Harris, L. Gollo, B.D. Fulcher
Physical Review X (2024).
Extracting interpretable signatures of whole-brain dynamics through systematic comparison
A.G. Bryant, K. Aquino, L. Parkes, A. Fornito, B.D. Fulcher
PLOS Computational Biology (2024).
Parameter inference from a non-stationary unknown process
K. Owens, B.D. Fulcher
Chaos (2024).
Unifying Pairwise Interactions in Complex Dynamics
O.M. Cliff, A. Bryant, J.T. Lizier, N. Tsuchiya, B.D. Fulcher
Nature Computational Science (2023).
Extracting dynamical understanding from neural-mass models of mouse cortex
P.H. Siu, E. Müller, V. Zerbi, K. Aquino, B.D. Fulcher
Frontiers in Computational Neuroscience (2022).
Classifying Kepler light curves for 12,000 A and F stars using supervised feature-based machine learning
N.H. Barbara, T.R. Bedding, B.D. Fulcher, S.J. Murphy, T. Van Reeth
Monthly Notices of the Royal Astronomical Society (2022).
Never a Dull Moment: Distributional Properties as a Baseline for Time-Series Classification
T. Henderson, A.G. Bryant, B.D. Fulcher
arXiv (2022).
Scaling of gene transcriptional gradients with brain size across mouse development
H.Y. Gladys Lau, A. Fornito, B.D. Fulcher
NeuroImage (2021).
Overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data
B.D. Fulcher, A. Arnatkeviciute, A. Fornito
Nature Communications (2021).
A self-organizing, living library of time-series data
B.D. Fulcher, C.H. Lubba, S.S. Sethi, N.S. Jones
Scientific Data (2020).
Timescales of spontaneous fMRI fluctuations relate to structural connectivity in the brain
J. Fallon, P. Ward, L. Parkes, S. Oldham, A. Arnatkeviciute, A. Fornito, B.D. Fulcher
Network Neuroscience (2020).
catch22: CAnonical Time-series CHaracteristics
C.H. Lubba, S.S. Sethi, P. Knaute, S.R. Schultz, N.S. Jones, B.D. Fulcher
Data Mining and Knowledge Discovery (2019).
Multimodal gradients across mouse cortex
B.D. Fulcher, J.D. Murray, V. Zerbi, X.-J. Wang
PNAS (2019).
Structural connectome topology relates to regional BOLD signal dynamics in the mouse brain
S.S. Sethi, V. Zerbi, N. Wenderoth, A. Fornito, B.D. Fulcher
Chaos (2017).