Publications
Selected publications
- Machine learning and EEG can classify passive viewing of discrete categories of visual stimuli but not the observation of pain (Journal article - 2023)
- External validation of binary machine learning models for pain intensity perception classification from EEG in healthy individuals (Journal article - 2023)
- Systematic Review of the Effectiveness of Machine Learning Algorithms for Classifying Pain Intensity, Phenotype or Treatment Outcomes Using Electroencephalogram Data. (Journal article - 2022)
2023
Decoding Experimental Pain Intensity and Observation of Pain Using Electroencephalography and Machine Learning Techniques
Mari, T. (2023, October 26). Decoding Experimental Pain Intensity and Observation of Pain Using Electroencephalography and Machine Learning Techniques.
The neural correlates of texture perception: A systematic review and activation likelihood estimation meta-analysis of functional magnetic resonance imaging studies.
Henderson, J., Mari, T., Hewitt, D., Newton-Fenner, A., Giesbrecht, T., Marshall, A., . . . Fallon, N. (2023). The neural correlates of texture perception: A systematic review and activation likelihood estimation meta-analysis of functional magnetic resonance imaging studies.. Brain and behavior, e3264. doi:10.1002/brb3.3264
Machine learning and EEG can classify passive viewing of discrete categories of visual stimuli but not the observation of pain
Mari, T., Henderson, J., Ali, S. H., Hewitt, D., Brown, C., Stancak, A., & Fallon, N. (2023). Machine learning and EEG can classify passive viewing of discrete categories of visual stimuli but not the observation of pain. BMC NEUROSCIENCE, 24(1). doi:10.1186/s12868-023-00819-y
Statistics anxiety and predictions of exam performance in UK psychology students.
Hunt, B. W., Mari, T., Knibb, G., Christiansen, P., & Jones, A. (2023). Statistics anxiety and predictions of exam performance in UK psychology students.. PloS one, 18(8), e0290467. doi:10.1371/journal.pone.0290467
Tactile estimation of hedonic and sensory properties during active touch: An electroencephalography study.
Henderson, J., Mari, T., Hewitt, D., Newton-Fenner, A., Hopkinson, A., Giesbrecht, T., . . . Fallon, N. (2023). Tactile estimation of hedonic and sensory properties during active touch: An electroencephalography study.. The European journal of neuroscience. doi:10.1111/ejn.16101
Economic value in the Brain: A meta-analysis of willingness-to-pay using the Becker-DeGroot-Marschak auction
Newton-Fenner, A., Hewitt, D., Henderson, J., Roberts, H., Mari, T., Gu, Y., . . . Stancak, A. (2023). Economic value in the Brain: A meta-analysis of willingness-to-pay using the Becker-DeGroot-Marschak auction. PLOS ONE, 18(7). doi:10.1371/journal.pone.0286969
Neural correlates of perceptual texture change during active touch.
Henderson, J., Mari, T., Hopkinson, A., Hewitt, D., Newton-Fenner, A., Giesbrecht, T., . . . Fallon, N. (2023). Neural correlates of perceptual texture change during active touch.. Front Neurosci, 17, 1197113. doi:10.3389/fnins.2023.1197113
External validation of binary machine learning models for pain intensity perception classification from EEG in healthy individuals
Mari, T., Asgard, O., Henderson, J., hewitt, D., stancak, A., Brown, C., & Fallon, N. (2023). External validation of binary machine learning models for pain intensity perception classification from EEG in healthy individuals. Scientific Reports. doi:10.1038/s41598-022-27298-1
2022
Neural correlates of texture perception during active touch
Henderson, J., Mari, T., Hopkinson, A., Byrne, A., Hewitt, D., Newton-Fenner, A., . . . Fallon, N. (2022). Neural correlates of texture perception during active touch. BEHAVIOURAL BRAIN RESEARCH, 429. doi:10.1016/j.bbr.2022.113908
Systematic Review of the Effectiveness of Machine Learning Algorithms for Classifying Pain Intensity, Phenotype or Treatment Outcomes Using Electroencephalogram Data.
Mari, T., Henderson, J., Maden, M., Nevitt, S., Duarte, R., & Fallon, N. (2022). Systematic Review of the Effectiveness of Machine Phenotype or Treatment Outcomes Using Electroencephalogram Data. JOURNAL OF PAIN, 23(3), 349-369. doi:10.1016/j.jpain.2021.07.011