Pre-print
Whyte, C.J., Robinson, A.K., Grootswagers, T., Hogendoorn, H., & Carlson, T. A. Decoding Predictions and Violations of Object Position and Category in Time-resolved EEG. bioRxiv 2020.04.08.032888. (link)
2024
Moran, C., Johnson, P.A., Landau, A., & Hogendoorn, H. (2024). Decoding Remapped Spatial Information in the Peri-Saccadic Period. Journal of Neuroscience pdf)
. (Turner, W., Sexton, C., & Hogendoorn, H. (2024). Neural mechanisms of visual motion extrapolation. Neuroscience & Biobehavioural Reviews 156: 105484. (pdf)
Melling, J., Turner, W., & Hogendoorn, H. (in press). Concurrent perception of competing predictions: a “Split-Stimulus Effect”. Journal of Vision (pre-print)
Yook, J., Hogendoorn, H., Fink, G.R., Vossel, S., & Weidner, R. (in press). When visual attention is divided in the flash-lag effect. Journal of Vision. (pre-print)
2023
Sexton, C. M., Burkitt, A.N., & Hogendoorn, H. (2023). Spike-timing dependent plasticity partially compensates for neural delays in a multi-layered network of motion-sensitive neurons. PLOS Computational Biology 19(9): e1011457 (pdf).
Lowe, B.G., Robinson, J.E., Yamamoto, N., Hogendoorn, H., & Johnston, P. (2023). Same but Different: The Latency of a Shared Expectation Signal Interacts with Stimulus Attributes. Cortex 168, p. 143-156. (pdf).
Cottier, T., Turner, W., Holcombe, A.O., & Hogendoorn, H. (2023). Exploring the extent to which shared mechanisms contribute to motion–position illusions. Journal of Vision 23(10):8, p. 1–24. (pdf).
Turner, W., Blom, T., & Hogendoorn, H. (2023). Visual Information Is Predictively Encoded in Occipital Alpha/Low-Beta Oscillations. Journal of Neuroscience 43(30), p. 5537-5545. (pdf)
Johnson, P.A., Blom, T., van Gaal, S., Feuerriegel, D., Bode, S., & Hogendoorn, H. (2023). Position representations of moving objects align with real-time position in the early visual response. eLife 12:e82424. (pdf)
2022
Hogendoorn, H. (2022). Blurred Lines: Memory, Perception, and Consciousness: Commentary on “Consciousness as a Memory System” by Budson et al (2022). Cognitive and Behavioural Neurology 10.1097/wnn.0000000000000325. (pdf)
Bode, S., Schubert, E., Hogendoorn, H, & Feuerriegel, D.C. (2022). Decoding continuous variables from EEG data using linear support vector regression (SVR) analysis with the Decision Decoding Toolbox (DDTBOX). Frontiers in Neuroscience 16. (pdf)
Hogendoorn, H. (2022). Perception in real-time: predicting the present, reconstructing the past. Trends in Cognitive Sciences 26(2), 128-141. (pdf)
Yook, J., Lee, L., Vossel, S., Weidner, R., & Hogendoorn, H. (2022). Motion extrapolation in the flash-lag effect depends on perceived, rather than physical speed. Vision Research 193:107978. (pdf)
2021
Schubert, E., Rosenblatt, D., Eliby, D., Kashima, Y., Hogendoorn, H., & Bode, S. (2021). Decoding explicit and implicit representations of health and taste attributes of foods in the human brain. Neuropsychologia 162:108045. (pdf)
Burkitt, A.N., & Hogendoorn, H. (2021). Predictive visual motion extrapolation emerges spontaneously and without supervision at each layer of a hierarchical neural network with spike-timing-dependent plasticity. The Journal of Neuroscience 41(20), 4428-4438. (pdf).
Blom, T., Bode, S., & Hogendoorn, H. (2021). The time-course of prediction formation and revision in human visual motion processing. Cortex 138, 191-202. (pdf).
Feuerriegel, D.C., Blom, T., & Hogendoorn, H. (2021). Predictive activation of sensory representations as a source of evidence in perceptual decision-making. Cortex 136, 140-146. (pdf)
Feuerriegel, D.C., Yook, J., Quek, G.L., Hogendoorn, H., & Bode, S. (2021). Visual mismatch responses index surprise signalling but not expectation suppression. Cortex 134, 16-29. (pdf)
2020
Johnson, P.A., Davies, S., & Hogendoorn, H. (2020). Motion extrapolation in the high-phi illusion: analogous but dissociable effects on perceived position and perceived motion. Journal of Vision. (pdf)
Davidson, M.J., Mithen, W., Hogendoorn, H., van Boxtel, J.J.A., & Tsuchiya, N. (2020). The SSVEP tracks attention, not consciousness, during perceptual filling-in. eLife 2020;9:e60031. (pdf)
Desantis, A., Chan Hon Tong, A., Collins, T., Hogendoorn, H., & Cavanagh, P. (2020). Decoding the temporal dynamics of covert spatial attention using multivariate EEG analysis: contributions of raw amplitude and alpha power. Frontiers in Human Neuroscience 10.3389/fnhum.2020.570419. (pdf)
Stuart, G.W., Yip, D., & Hogendoorn, H. (2020). The role of hue in visual search for texture differences: Implications for camouflage design. Vision Research 17, 16-26. (pdf)
Hogendoorn, H. (2020). Motion Extrapolation in Visual Processing: Lessons from 25 Years of Flash-Lag Debate. The Journal of Neuroscience 40(30), 5698–5705. (pdf)
Blom, T., Johnson, P., Feuerriegel, D., Bode, S., & Hogendoorn, H. (2020). Predictions drive neural representations of visual events ahead of incoming sensory information. Proceedings of the National Academy of Sciences USA. DOI 10.1073/pnas.1917777117. (pdf)
2019
Coffey, K., Adamian, N., Blom, T., van Heusden, E., Cavanagh, P., & Hogendoorn, H. (2019). Expecting the unexpected: Temporal expectation increases the flash-grab effect. Journal of Vision 19(9). (pdf)
Hogendoorn, H. & Burkitt, A.N. (2019). Predictive coding with neural transmission delays: a real-time temporal alignment hypothesis. eNeuro 10.1523/ENEURO.0412-18.2019. (pdf).
Maarseveen, J., Paffen, C.L.E., Verstraten, F.A.J., & Hogendoorn, H. (2019). The duration aftereffect does not reflect adaptation to perceived duration. PLOS ONE 14(3): e0213163. (pdf)
Blom, T., Liang, Q., & Hogendoorn, H. (2019). When predictions fail: correction for extrapolation in the flash-grab effect. Journal of Vision 19(3). (pdf)
Van Heusden, E., Harris, A.M., Garrido, M., & Hogendoorn, H. (2019). Predictive coding of visual motion in both monocular and binocular human visual processing. Journal of Vision 19(3). (pdf)
2018
Goddard, E., Klein, C., Solomon, S.G., Hogendoorn, H., & Carlson, T.A. (2018). Interpreting the dimensions of neural feature representations revealed by dimensionality reduction. NeuroImage 180A, 41-67. (pdf)
Van Heusden, E., Rolfs, M., Cavanagh, P., & Hogendoorn, H. (2018). Motion extrapolation for eye movements predicts perceived motion-induced position shifts. Journal of Neuroscience 38(38), 8243-8250. (pdf)
Maarseveen, J., Hogendoorn, H., Verstraten, F.A.J., & Paffen, C.L.E. (2018). Attention Gates the Selective Encoding of Duration. Scientific Reports 8, 2522. (pdf)
Hogendoorn, H., & Burkitt, A.N. (2018). Predictive coding of visual object position ahead of moving objects revealed by time-resolved EEG decoding. NeuroImage 171, 55-61. (pdf)
2017
Maarseveen, J., Paffen, C.L.E., Verstraten, F.A.J. & Hogendoorn, H. (2017). Representing dynamic stimulus information during occlusion. Vision Research 138:40-49. (pdf)
Hogendoorn, H., Alais, D., MacDougall, H., & Verstraten, F.A.J. (2017). Velocity perception in a moving observer. Vision Research 138, 12-17. (pdf)
Fahrenfort, J.J., van Leeuwen, J., Olivers, C., & Hogendoorn, H. (2017). Perceptual Integration without Conscious Access. Proceedings of the National Academy of Sciences USA 114(14), 3744-3749. (pdf)
Maarseveen, J., Hogendoorn, H., Verstraten, F.A.J., & Paffen, C.L.E. (2017). An investigation of the spatial selectivity of the duration after-effect. Vision Research 130, 67-75. (pdf)
Hogendoorn, H., Verstraten, F.A.J., MacDougall, H., & Alais, D. (2017). Vestibular signals of self-motion modulate global motion perception.Vision Research 130, 22-30. (pdf)
2016
Hogendoorn, H. (2016). Voluntary saccadic eye movements ride the attentional rhythm. Journal of Cognitive Neuroscience 28(10), 1625-1635. (pdf)
2015
Hogendoorn, H., Kammers, M.P.M., Haggard, P., & Verstraten, F.A.J. (2015). Self-touch modulates the somatosensory evoked P100. Experimental Brain Research 233(10), 2845-2858. pdf
Hogendoorn, H., Verstraten, F.A.J., & Cavanagh, P. (2015). Strikingly rapid neural basis of motion-induced position shifts revealed by high temporal-resolution EEG pattern classification. Vision Research 113, 1-10. pdf
Hogendoorn, H. (2015). From sensation to perception: Using multivariate classification of visual illusions to identify neural correlates of conscious awareness in space and time. Perception 44, p. 71-78. pdf