Ben D. Fulcher

Orcid: 0000-0002-3003-4055

According to our database1, Ben D. Fulcher authored at least 33 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Uncovering a stability signature of brain dynamics associated with meditation experience using massive time-series feature extraction.
Neural Networks, 2024

Parameter inference from a non-stationary unknown process.
CoRR, 2024

A feature-based information-theoretic approach for detecting interpretable, long-timescale pairwise interactions from time series.
CoRR, 2024

2023
A Virtual Reality Educational Game for the Ethics of Cultural Heritage Repatriation.
Games Cult., September, 2023

Unifying pairwise interactions in complex dynamics.
Nat. Comput. Sci., 2023

On the information-theoretic formulation of network participation.
CoRR, 2023

Never a Dull Moment: Distributional Properties as a Baseline for Time-Series Classification.
CoRR, 2023

2022
On the intersection between data quality and dynamical modelling of large-scale fMRI signals.
NeuroImage, 2022

Extracting Dynamical Understanding From Neural-Mass Models of Mouse Cortex.
Frontiers Comput. Neurosci., 2022

Feature-Based Time-Series Analysis in R using the theft Package.
CoRR, 2022

Unifying Pairwise Interactions in Complex Dynamics.
CoRR, 2022

2021
Scaling of gene transcriptional gradients with brain size across mouse development.
NeuroImage, 2021

Where the genome meets the connectome: Understanding how genes shape human brain connectivity.
NeuroImage, 2021

Nonlinear reconfiguration of network edges, topology and information content during an artificial learning task.
Brain Informatics, 2021

An Empirical Evaluation of Time-Series Feature Sets.
Proceedings of the 2021 International Conference on Data Mining, 2021

2020
Core and matrix thalamic sub-populations relate to spatio-temporal cortical connectivity gradients.
NeuroImage, 2020

Identifying and removing widespread signal deflections from fMRI data: Rethinking the global signal regression problem.
NeuroImage, 2020

Winning with Simple Learning Models: Detecting Earthquakes in Groningen, the Netherlands.
CoRR, 2020

Exact Inference of Linear Dependence Between Multiple Autocorrelated Time Series.
CoRR, 2020

2019
A practical guide to linking brain-wide gene expression and neuroimaging data.
NeuroImage, 2019

catch22: CAnonical Time-series CHaracteristics - Selected through highly comparative time-series analysis.
Data Min. Knowl. Discov., 2019

CompEngine: a self-organizing, living library of time-series data.
CoRR, 2019

catch22: CAnonical Time-series CHaracteristics.
CoRR, 2019

Efficient peripheral nerve firing characterisation through massive feature extraction.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

2018
Hub connectivity, neuronal diversity, and gene expression in the Caenorhabditis elegans connectome.
PLoS Comput. Biol., 2018

An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI.
NeuroImage, 2018

Consistency and differences between centrality metrics across distinct classes of networks.
CoRR, 2018

2017
Feature-based time-series analysis.
CoRR, 2017

2016
Automatic time-series phenotyping using massive feature extraction.
CoRR, 2016

2014
Highly Comparative Feature-Based Time-Series Classification.
IEEE Trans. Knowl. Data Eng., 2014

2013
Mammalian Rest/Activity Patterns Explained by Physiologically Based Modeling.
PLoS Comput. Biol., 2013

Highly comparative time-series analysis: The empirical structure of time series and their methods.
CoRR, 2013

2012
Highly comparative fetal heart rate analysis.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012


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