Recent publications
Article
Champion, T, Bowman, H, Marković, D & Grześ, M 2026, 'Reframing the Expected Free Energy: Four Formulations and a Unification', Neural Computation. https://doi.org/10.1162/NECO.a.1491
Hope, TMH, Bowman, H, Leff, AP & Price, CJ 2025, 'Deep convolutional neural networks outperform vanilla machine learning when predicting language outcomes after stroke', NeuroImage: Clinical, vol. 48, 103880. https://doi.org/10.1016/j.nicl.2025.103880
Dogan, C, Miller, CE, Jefferis, T, Saranti, M, Tempesta, AJ, Schofield, AJ, Palaniappan, R & Bowman, H 2025, 'Headache-specific hyperexcitation sensitises and habituates on different time scales: An event related potential study of pattern-glare', Neuroimage. Reports, vol. 5, no. 3, 100271. https://doi.org/10.1016/j.ynirp.2025.100271
Hope, TMH, Bowman, H, Bruce, RM, Leff, AP & Price, CJ 2025, 'Precision-Optimised Post-Stroke Prognoses', Annals of Clinical and Translational Neurology, vol. 12, no. 8, pp. 1619-1627. https://doi.org/10.1002/acn3.70077
Saranti, M, Neville, D, White, A, Rotshtein, P, Hope, TMH, Price, CJ & Bowman, H 2025, 'Predicting language outcome after stroke using machine learning: in search of the big data benefit', NeuroImage: Clinical, vol. 48, 103858. https://doi.org/10.1016/j.nicl.2025.103858
Avilés, A, Orun, E & Bowman, H 2025, 'Stimuli presented on the fringe of awareness do not cause proactive interference', Neuroscience of Consciousness, vol. 2025, no. 1, niaf027. https://doi.org/10.1093/nc/niaf027
Zeng, J, Gao, Z, Xiong, X, Hou, X, Qin, H, Liu, Y, Bowman, H, Ritchie, C, O'Brien, JT & Su, L 2025, 'The effects of two Alzheimer's disease related genes APOE and MAPT in healthy young adults: An attentional blink study ', Journal of Alzheimer's Disease, vol. 103, no. 1, pp. 167-179. https://doi.org/10.1177/13872877241299124
Champion, T, Grześ, M, Bonheme, L & Bowman, H 2024, 'Deconstructing Deep Active Inference: A Contrarian Information Gatherer', Neural Computation, vol. 36, no. 11, pp. 2403-2445. https://doi.org/10.1162/neco_a_01697
Champion, T, Grześ, M & Bowman, H 2024, 'Multimodal and Multifactor Branching Time Active Inference', Neural Computation, vol. 36, no. 11, pp. 2479-2504. https://doi.org/10.1162/neco_a_01703
White, A, Saranti, M, d'Avila Garcez, A, Hope, TMH, Price, CJ & Bowman, H 2024, 'Predicting recovery following stroke: Deep learning, multimodal data and feature selection using explainable AI', NeuroImage: Clinical, vol. 43, 103638. https://doi.org/10.1016/j.nicl.2024.103638
Garner, KG, Nolan, CR, Nydam, A, Nott, Z, Bowman, H & Dux, PE 2024, 'Quantifying error in effect size estimates in attention, executive function, and implicit learning', Journal of Experimental Psychology: Learning, Memory, and Cognition. https://doi.org/10.1037/xlm0001338
Jefferis, T, Dogan, C, Miller, CE, Karathanou, M, Tempesta, A, Schofield, AJ & Bowman, H 2024, 'Sensitization and Habituation of Hyper-Excitation to Constant Presentation of Pattern-Glare Stimuli', Neurology international, vol. 16, no. 6, pp. 1585-1610. https://doi.org/10.3390/neurolint16060116
Hosseini, M, Zivony, A, Eimer, M, Wyble, B & Bowman, H 2024, 'Transient Attention Gates Access Consciousness: Coupling N2pc and P3 Latencies Using Dynamic Time Warping', The Journal of Neuroscience, vol. 44, no. 26, e1798232024. https://doi.org/10.1523/JNEUROSCI.1798-23.2024
Letter
Hope, TMH, Halai, A, Crinion, J, Castelli, P, Price, CJ & Bowman, H 2024, 'Principal component analysis-based latent-space dimensionality under-estimation, with uncorrelated latent variables', Brain, vol. 147, no. 2, pp. e14-e16. https://doi.org/10.1093/brain/awad355
Review article
Wyble, B, Tam, J, Deal, I & Bowman, H 2025, 'Understanding the flexibility of working memory: Compositionality, generative processing, anchors and holistic representations', Neuroscience and biobehavioral reviews, vol. 179, 106387. https://doi.org/10.1016/j.neubiorev.2025.106387
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