2024 (Published online)
Burkhart, MC., Lee, LY., Vaghari, D., Toh, AQ., Chong, E., Chen, C., Tiňo, P. and Kourtzi, Z., 2024 (Published online). Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction Scientific Reports, v. 14
Doi: 10.1038/s41598-024-60914-w
2024 (Accepted for publication)
Kourtzi, Z., 2024 (Accepted for publication). Recurrent inhibition refines mental templates to optimize perceptual decisions Science Advances,
2024
Burkhart, MC., Lee, LY., Vaghari, D., Toh, AQ., Chong, E., Chen, C., Tiňo, P. and Kourtzi, Z., 2024. Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction. Sci Rep, v. 14
Doi: http://doi.org/10.1038/s41598-024-60914-w
Kampman, OP., Ziminski, J., Afyouni, S., van der Wilk, M. and Kourtzi, Z., 2024. Time-varying functional connectivity as Wishart processes Imaging Neuroscience, v. 2
Doi: 10.1162/imag_a_00184
Lee, LY., Healy, MP., Fischer, NL., Tong, K., Chen, AS., Sahakian, BJ. and Kourtzi, Z., 2024. Cognitive flexibility training for impact in real-world settings Current Opinion in Behavioral Sciences, v. 59
Doi: http://doi.org/10.1016/j.cobeha.2024.101413
Jia, K., Wang, M., Steinwurzel, C., Ziminski, JJ., Xi, Y., Emir, U. and Kourtzi, Z., 2024. Recurrent inhibition refines mental templates to optimize perceptual decisions. Sci Adv, v. 10
Doi: http://doi.org/10.1126/sciadv.ado7378
2023 (No publication date)
Wang, R., Gates, V., Shen, Y., Tino, P. and Kourtzi, Z., 2023 (No publication date). Flexible Structure Learning Under Uncertainty SSRN Electronic Journal,
Doi: http://doi.org/10.2139/ssrn.4014051
2023
Giorgio, J., Tanna, A., Malpetti, M., White, SR., Wang, J., Baker, S., Landau, S., Tanaka, T., Chen, C., Rowe, JB., O'Brien, J., Fripp, J., Breakspear, M., Jagust, W., Kourtzi, Z. and Alzheimer's Disease Neuroimaging Initiative, Australian Imaging Biomarkers and Lifestyle flagship study, , 2023. A robust harmonization approach for cognitive data from multiple aging and dementia cohorts. Alzheimers Dement (Amst), v. 15
Doi: 10.1002/dad2.12453
Marinaro, F., Morvan, C., Au, R., Bond, S., Burkhart, MC., Carlebach, N., Chan, D., Delbarre, D., Farier, L., Lacey, A., LaMonica, H., Lancaster, CL., Lee, LY., Llewellyn, DJ., Mallon, A., Martins, RN., Ardle, RM., Mummery, CJ., Naismith, SL., Oldham, M., Rainey‐Smith, S., Santos, L., Slight, S., Smith, N., Thomas, S., Venton, J., Tolley, C., Whitaker, K., Wright, J., Wilson, S., Wing, K., Crawford, J., Dagum, P., Routledge, C., Walker, Z., Everson, R., Hinds, C. and Kourtzi, Z., 2023. The Early Detection of Neurodegenerative diseases initiative: an international and multidisciplinary effort for transforming the early detection of dementia‐causing diseases Alzheimer's & Dementia, v. 19
Doi: 10.1002/alz.062434
Wang, R., Gates, V., Shen, Y., Tino, P. and Kourtzi, Z., 2023. Flexible structure learning under uncertainty. Front Neurosci, v. 17
Doi: 10.3389/fnins.2023.1195388
Li, R., Harshfield, EL., Bell, S., Burkhart, M., Tuladhar, AM., Hilal, S., Tozer, DJ., Chappell, FM., Makin, SDJ., Lo, JW., Wardlaw, JM., de Leeuw, F-E., Chen, C., Kourtzi, Z. and Markus, HS., 2023. Predicting incident dementia in cerebral small vessel disease: comparison of machine learning and traditional statistical models. Cereb Circ Cogn Behav, v. 5
Doi: 10.1016/j.cccb.2023.100179
Liu, C-L., Cheng, X., Choo, BL., Hong, M., Teo, JL., Koo, WL., Tan, JYJ., Ubrani, MB., Suckling, J., Gulyás, B., Leong, V., Kourtzi, Z., Sahakian, B., Robbins, T. and Chen, AS-H., 2023. Potential cognitive and neural benefits of a computerised cognitive training programme based on Structure Learning in healthy adults: study protocol for a randomised controlled trial. Trials, v. 24
Doi: http://doi.org/10.1186/s13063-023-07551-2
Tong, K., Chan, YN., Cheng, X., Cheon, B., Ellefson, M., Fauziana, R., Feng, S., Fischer, N., Gulyás, B., Hoo, N., Hung, D., Kalaivanan, K., Langley, C., Lee, KM., Lee, LL., Lee, T., Melani, I., Melia, N., Pei, JY., Raghani, L., Sam, YL., Seow, P., Suckling, J., Tan, YF., Teo, CL., Uchiyama, R., Yap, HS., Christopoulos, G., Hendriks, H., Chen, A., Robbins, T., Sahakian, B., Kourtzi, Z., Leong, V. and CLIC Phase 1 Consortium, , 2023. Study protocol: How does cognitive flexibility relate to other executive functions and learning in healthy young adults? PLoS One, v. 18
Doi: http://doi.org/10.1371/journal.pone.0286208
Michael, E., Covarrubias, LS., Leong, V. and Kourtzi, Z., 2023. Learning at your brain's rhythm: individualized entrainment boosts learning for perceptual decisions. Cereb Cortex, v. 33
Doi: 10.1093/cercor/bhac426
Vaghari, D., Lee, LY., Burkhart, MC., Montagnese, M., Zuhlsdorff, K., Giorgio, J., Chong, E., Jagust, WJ., Chen, CL., Williams, GB., Rittman, T., Tino, P. and Kourtzi, Z., 2023. Validating the clinical utility of AI‐guided tools for early dementia prediction Alzheimer's & Dementia, v. 19
Doi: 10.1002/alz.074628
Seitz, AR., Sekuler, A., Dosher, B., Wright, BA., Huang, CB., Shawn Green, C., Pack, CC., Sagi, D., Levi, D., Tadin, D., Quinlan, E., Jiang, F., Diaz, GJ., Ghose, G., Fiser, J., Banai, K., Visscher, K., Huxlin, K., Shams, L., Battelli, L., Carrasco, M., Herzog, M., Webster, M., Eckstein, M., Turk-Browne, NB., Censor, N., De Weerd, P., Vogels, R., Hochstein, S., Watanabe, T., Sasaki, Y., Polat, U., Lu, ZL. and Kourtzi, Z., 2023. Perceptual Learning: Policy Insights From Basic Research to Real-World Applications Policy Insights from the Behavioral and Brain Sciences, v. 10
Doi: http://doi.org/10.1177/23727322231195268
Davenport, F., Gallacher, J., Kourtzi, Z., Koychev, I., Matthews, PM., Oxtoby, NP., Parkes, LM., Priesemann, V., Rowe, JB., Smye, SW. and Zetterberg, H., 2023. Neurodegenerative disease of the brain: a survey of interdisciplinary approaches. J R Soc Interface, v. 20
Doi: http://doi.org/10.1098/rsif.2022.0406
Ziminski, JJ., Frangou, P., Karlaftis, VM., Emir, U. and Kourtzi, Z., 2023. Microstructural and neurochemical plasticity mechanisms interact to enhance human perceptual decision-making. PLoS Biol, v. 21
Doi: 10.1371/journal.pbio.3002029
2022 (Published online)
Giorgio, J., Jagust, WJ., Baker, S., Landau, SM., Tino, P. and Kourtzi, Z., 2022 (Published online). A robust and interpretable machine learning approach using multimodal biological data to predict future pathological tau accumulation Nature Communications, v. 13
Doi: 10.1038/s41467-022-28795-7
2022 (No publication date)
Michael, E., Covarrubias, LS., Leong, V. and Kourtzi, Z., 2022 (No publication date). Learning at your brain’s rhythm: individualized entrainment boosts learning for perceptual decisions Cerebral Cortex,
2022 (Accepted for publication)
Kourtzi, Z., 2022 (Accepted for publication). A robust and interpretable machine learning approach using multimodal biological data to predict future pathological tau accumulation Nature Communications,
Doi: http://doi.org/10.1038/s41467-022-28795-7
2022
Chua, SYP., Rentzelas, P., Frangou, P., Kourtzi, Z., Lintern, M. and Mavritsaki, E., 2022. Cultural differences in visual perceptual learning. Int J Psychol, v. 57
Doi: http://doi.org/10.1002/ijop.12824
Jia, K., Frangou, P., Karlaftis, VM., Ziminski, JJ., Giorgio, J., Rideaux, R., Zamboni, E., Hodgson, V., Emir, U. and Kourtzi, Z., 2022. Neurochemical and functional interactions for improved perceptual decisions through training. J Neurophysiol, v. 127
Doi: http://doi.org/10.1152/jn.00308.2021
2021 (Accepted for publication)
Leong, V., Raheel, K., Sim, JY., Kacker, K., Karlaftis, VM., Vassiliu, C., Chen, SHA., Robbins, TW., Sahakian, BJ. and Kourtzi, Z., 2021 (Accepted for publication). A New Remote Guided Method for Supervised Web-Based Cognitive Testing to Ensure High Quality Data Journal of Medical Internet Research, v. 24
Doi: http://doi.org/10.2196/28368
Karlaftis, VM., Frangou, P., Higgins, C., Vidaurre, D., Ziminski, JJ., Stagg, CJ., Emir, UE. and Kourtzi, Z., 2021 (Accepted for publication). Brain stimulation boosts perceptual learning by altering sensory GABAergic plasticity and functional connectivity eLife,
Doi: http://doi.org/10.1101/2021.09.13.459793
2021
Jia, K., Zamboni, E., Rua, C., Goncalves, NR., Kemper, V., Ng, AKT., Rodgers, CT., Williams, G., Goebel, R. and Kourtzi, Z., 2021. A protocol for ultra-high field laminar fMRI in the human brain. STAR Protoc, v. 2
Doi: http://doi.org/10.1016/j.xpro.2021.100415
Karlaftis, VM., Giorgio, J., Zamboni, E., Frangou, P., Rideaux, R., Ziminski, JJ. and Kourtzi, Z., 2021. Functional Interactions between Sensory and Memory Networks for Adaptive Behavior. Cereb Cortex, v. 31
Doi: http://doi.org/10.1093/cercor/bhab160
Ng, AKT., Jia, K., Goncalves, NR., Zamboni, E., Kemper, VG., Goebel, R., Welchman, AE. and Kourtzi, Z., 2021. Ultra-High-Field Neuroimaging Reveals Fine-Scale Processing for 3D Perception. J Neurosci, v. 41
Doi: http://doi.org/10.1523/JNEUROSCI.0065-21.2021
Leong, V., Raheel, K., Sim, JY., Kacker, K., Karlaftis, VM., Vassiliu, C., Kalaivanan, K., Chen, SHA., Robbins, TW., Sahakian, BJ. and Kourtzi, Z., 2021. A New Remote Guided Method for Supervised Web-Based Cognitive Testing to Ensure High-Quality Data: Development and Usability Study (Preprint)
Doi: 10.2196/preprints.28368
2020 (Accepted for publication)
2020
Murley, AG., Rouse, MA., Jones, PS., Ye, R., Hezemans, FH., O'Callaghan, C., Frangou, P., Kourtzi, Z., Rua, C., Carpenter, TA., Rodgers, CT. and Rowe, JB., 2020. GABA and glutamate deficits from frontotemporal lobar degeneration are associated with disinhibition. Brain, v. 143
Doi: http://doi.org/10.1093/brain/awaa305
Jia, K., Zamboni, E., Kemper, V., Rua, C., Goncalves, NR., Ng, AKT., Rodgers, CT., Williams, G., Goebel, R. and Kourtzi, Z., 2020. Recurrent Processing Drives Perceptual Plasticity. Curr Biol, v. 30
Doi: http://doi.org/10.1016/j.cub.2020.08.016
Giorgio, J., Jagust, WJ., Baker, SL., Landau, SM., Tino, P. and Kourtzi, Z., 2020. Predicting future regional tau accumulation in preclinical Alzheimer’s disease Alzheimer's & Dementia, v. 16
Doi: http://doi.org/10.1002/alz.039827
Giorgio, J., Tanna, A., Jagust, WJ., Baker, SL., Landau, SM., Tanaka, T., Chen, CP., Reilhac, A., Malpetti, M., Rowe, JB., O'Brien, JT. and Kourtzi, Z., 2020. A cross‐cohort cognitive composite for tracking changes in pre‐clinical and prodromal Alzheimer’s disease Alzheimer's & Dementia, v. 16
Doi: http://doi.org/10.1002/alz.037928
Pérez, A., Schmidt, E., Kourtzi, Z. and Tsimpli, I., 2020. Multimodal semantic revision during inferential processing: The role of inhibitory control in text and picture comprehension. Neuropsychologia, v. 138
Doi: http://doi.org/10.1016/j.neuropsychologia.2019.107313
Giorgio, J., Landau, SM., Jagust, WJ., Tino, P., Kourtzi, Z. and Alzheimer's Disease Neuroimaging Initiative, , 2020. Modelling prognostic trajectories of cognitive decline due to Alzheimer's disease. Neuroimage Clin, v. 26
Doi: http://doi.org/10.1016/j.nicl.2020.102199
2019
Karlaftis, VM., Giorgio, J., Vértes, PE., Wang, R., Shen, Y., Tino, P., Welchman, AE. and Kourtzi, Z., 2019. Multimodal imaging of brain connectivity reveals predictors of individual decision strategy in statistical learning. Nat Hum Behav, v. 3
Doi: http://doi.org/10.1038/s41562-018-0503-4
Frangou, P., Emir, UE., Karlaftis, VM., Nettekoven, C., Hinson, EL., Larcombe, S., Bridge, H., Stagg, CJ. and Kourtzi, Z., 2019. Learning to optimize perceptual decisions through suppressive interactions in the human brain. Nat Commun, v. 10
Doi: http://doi.org/10.1038/s41467-019-08313-y
2018 (Accepted for publication)
Kourtzi, Z., 2018 (Accepted for publication). GABA –not BOLD–reveals dissociable learning mechanisms in the human visual
cortex elife, v. 7 (2018)
Doi: http://doi.org/10.7554/eLife.35854
2018
Karlaftis, VM., Wang, R., Shen, Y., Tino, P., Williams, G., Welchman, AE. and Kourtzi, Z., 2018. White-Matter Pathways for Statistical Learning of Temporal Structures. eNeuro, v. 5
Doi: http://doi.org/10.1523/ENEURO.0382-17.2018
Frangou, P., Correia, M. and Kourtzi, Z., 2018. GABA, not BOLD, reveals dissociable learning-dependent plasticity mechanisms in the human brain. Elife, v. 7
Doi: http://doi.org/10.7554/eLife.35854
2017 (Accepted for publication)
Wang, R., Shen, Y., Tino, P., Welchman, A. and Kourtzi, Z., 2017 (Accepted for publication). Learning predictive statistics: strategies and brain mechanisms Journal of Neuroscience, v. 37
Doi: http://doi.org/10.1523/JNEUROSCI.0144-17.2017
2017
Bettinardi, RG., Deco, G., Karlaftis, VM., Van Hartevelt, TJ., Fernandes, HM., Kourtzi, Z., Kringelbach, ML. and Zamora-López, G., 2017. How structure sculpts function: Unveiling the contribution of anatomical connectivity to the brain's spontaneous correlation structure Chaos, v. 27
Doi: http://doi.org/10.1063/1.4980099
Wang, R., Shen, Y., Tino, P., Welchman, A. and Kourtzi, Z., 2017. Learning predictive statistics from temporal sequences: Dynamics and strategies Journal of Vision, v. 17
Doi: http://doi.org/10.1167/17.12.1
Van Grootel, TJ., Meeson, A., Munk, MHJ., Kourtzi, Z., Movshon, JA., Logothetis, NK. and Kiorpes, L., 2017. Development of visual cortical function in infant macaques: A BOLD fMRI study. PLoS One, v. 12
Doi: http://doi.org/10.1371/journal.pone.0187942
2016
Luft, CDB., Baker, R., Goldstone, A., Zhang, Y. and Kourtzi, Z., 2016. Learning Temporal Statistics for Sensory Predictions in Aging. J Cogn Neurosci, v. 28
Doi: http://doi.org/10.1162/jocn_a_00907
Alahmadi, HH., Shen, Y., Fouad, S., Luft, CDB., Bentham, P., Kourtzi, Z. and Tino, P., 2016. Classifying Cognitive Profiles Using Machine Learning with Privileged Information in Mild Cognitive Impairment Frontiers in Neuroscience, v. 10
Doi: http://doi.org/10.3389/fncom.2016.00117
Eck, J., Kaas, AL., Mulders, JL., Hausfeld, L., Kourtzi, Z. and Goebel, R., 2016. The Effect of Task Instruction on Haptic Texture Processing: The Neural Underpinning of Roughness and Spatial Density Perception. Cereb Cortex, v. 26
Doi: http://doi.org/10.1093/cercor/bhu294
2015
Luft, CDB., Meeson, A., Welchman, AE. and Kourtzi, Z., 2015. Decoding the future from past experience: learning shapes predictions in early visual cortex. J Neurophysiol, v. 113
Doi: http://doi.org/10.1152/jn.00753.2014
Kourtzi, Z. and Welchman, AE., 2015. Adaptive shape coding for perceptual decisions in the human brain. J Vis, v. 15
Doi: http://doi.org/10.1167/15.7.2
Baker, R., Bentham, P. and Kourtzi, Z., 2015. Learning to predict is spared in mild cognitive impairment due to Alzheimer's disease. Exp Brain Res, v. 233
Doi: http://doi.org/10.1007/s00221-015-4356-z
Christian, J., Goldstone, A., Kuai, S-G., Chin, W., Abrams, D. and Kourtzi, Z., 2015. Socio-cognitive profiles for visual learning in young and older adults. Front Aging Neurosci, v. 7
Doi: http://doi.org/10.3389/fnagi.2015.00105
Karlaftis, V., Wang, R., Williams, G., Tino, P., Welchman, A. and Kourtzi, Z., 2015. White-matter connectivity for learning of hierarchical structures PERCEPTION, v. 44
Kourtzi, Z., 2015. Learning for flexible decisions across the lifespan PERCEPTION, v. 44
Frangou, P., Wang, R., Prescot, AP., Correia, M. and Kourtzi, Z., 2015. Inhibitory mechanisms for visual learning in the human brain PERCEPTION, v. 44
2014
Lestou, V., Lam, JML., Humphreys, K., Kourtzi, Z. and Humphreys, GW., 2014. A dorsal visual route necessary for global form perception: evidence from neuropsychological fMRI. J Cogn Neurosci, v. 26
Doi: http://doi.org/10.1162/jocn_a_00489
Baker, R., Dexter, M., Hardwicke, TE., Goldstone, A. and Kourtzi, Z., 2014. Learning to predict: exposure to temporal sequences facilitates prediction of future events. Vision Res, v. 99
Doi: http://doi.org/10.1016/j.visres.2013.10.017
Chang, DHF., Mevorach, C., Kourtzi, Z. and Welchman, AE., 2014. Training transfers the limits on perception from parietal to ventral cortex. Curr Biol, v. 24
Doi: http://doi.org/10.1016/j.cub.2014.08.058
2013
Johannsen, L., Li, KZH., Chechlacz, M., Bibi, A., Kourtzi, Z. and Wing, AM., 2013. Functional neuroimaging of the interference between working memory and the control of periodic ankle movement timing. Neuropsychologia, v. 51
Doi: http://doi.org/10.1016/j.neuropsychologia.2013.07.009
Chang, DHF., Kourtzi, Z. and Welchman, AE., 2013. Mechanisms for extracting a signal from noise as revealed through the specificity and generality of task training. J Neurosci, v. 33
Doi: http://doi.org/10.1523/JNEUROSCI.0101-13.2013
2012
De Jong, MC., Kourtzi, Z. and van Ee, R., 2012. Perceptual experience modulates cortical circuits involved in visual awareness European Journal of Neuroscience, v. 36
Doi: http://doi.org/10.1111/ejn.12005
Li, S., Mayhew, SD. and Kourtzi, Z., 2012. Learning shapes spatiotemporal brain patterns for flexible categorical decisions Cerebral Cortex, v. 22
Doi: http://doi.org/10.1093/cercor/bhr309
2011
2010
Peterson, MF., Das, K., Sy, JL., Li, S., Giesbrecht, B., Kourtzi, Z. and Eckstein, MP., 2010. Ideal observer analysis for task normalization of pattern classifier performance applied to EEG and fMRI data Journal of the Optical Society of America A: Optics and Image Science, and Vision, v. 27
Doi: http://doi.org/10.1364/JOSAA.27.002670
Chen, D., Li, S., Kourtzi, Z. and Wu, S., 2010. Behavior-constrained support vector machines for fMRI data analysis IEEE Transactions on Neural Networks, v. 21
Doi: http://doi.org/10.1109/TNN.2010.2060353
Mayhew, SD., Li, S., Storrar, JK., Tsvetanov, KA. and Kourtzi, Z., 2010. Learning shapes the representation of visual categories in the aging human brain. J Cogn Neurosci, v. 22
Doi: http://doi.org/10.1162/jocn.2010.21415
Papathomas, TV., Kourtzi, Z. and Welchman, AE., 2010. Perspective-based illusory movement in a flat billboard-an explanation Perception, v. 39
Doi: http://doi.org/10.1068/p5990
Duncan, KK., Hadjipapas, A., Li, S., Kourtzi, Z., Bagshaw, A. and Barnes, G., 2010. Identifying spatially overlapping local cortical networks with MEG Human Brain Mapping, v. 31
Doi: http://doi.org/10.1002/hbm.20912
Gerardin, P., Kourtzi, Z. and Mamassian, P., 2010. Prior knowledge of illumination for 3D perception in the human brain. Proc Natl Acad Sci U S A, v. 107
Doi: http://doi.org/10.1073/pnas.1006285107
2009
Papathomas, TV., Kourtzi, Z. and Welchman, AE., 2009. Buildings drawn in perspective on large billboards appear to rotate: An explanation PERCEPTION, v. 38
Raemaekers, M., Lankheet, MJM., Moorman, S., Kourtzi, Z. and Van Wezel, RJA., 2009. Directional anisotropy of motion responses in retinotopic cortex Human Brain Mapping, v. 30
Doi: http://doi.org/10.1002/hbm.20822
Kourtzi, Z., 2009. Challenges in object recognition: selectivity vs invariance. Perception, v. 38
Zhang, J., Schwarzkopf, DS. and Kourtzi, Z., 2009. Learning image regularities for contour detection: when do you need a teacher? PERCEPTION, v. 38
2008
Lestou, V., Pollick, FE. and Kourtzi, Z., 2008. Neural substrates for action understanding at different description levels in the human brain. J Cogn Neurosci, v. 20
Doi: http://doi.org/10.1162/jocn.2008.20021
Schwarzkopf, DS. and Kourtzi, Z., 2008. Perceptual learning for global contour integration PERCEPTION, v. 37
Kourtzi, Z., 2008. Perceptual decisions and visual learning in the human brain PERCEPTION, v. 37
Preston, TJ., Li, S., Kourtzi, Z. and Welchman, AE., 2008. Multivoxel pattern selectivity for perceptually relevant binocular disparities in the human brain. J Neurosci, v. 28
Doi: http://doi.org/10.1523/JNEUROSCI.2728-08.2008
Kourtzi, Z., Ostwald, D., Moutsiana, C., Humphreys, K. and Lam, JM., 2008. Global form integration in the ageing visual brain PERCEPTION, v. 37
Preston, T., Kourtzi, Z. and Welchman, AE., 2008. fMRI activity in human visual cortex correlates with perceptual judgments of 3-D shape PERCEPTION, v. 37
2007
Li, S., Ostwald, D., Giese, M. and Kourtzi, Z., 2007. Decoding flexible representations for categorisation of movement sequences in the human brain PERCEPTION, v. 36
Kourtzi, Z., 2007. Visual learning and categorical decisions in the human brain PERCEPTION, v. 36
Chandrasekaran, C., Canon, V., Dahmen, JC., Kourtzi, Z. and Welchman, AE., 2007. Neural correlates of disparity-defined shape discrimination in the human brain. J Neurophysiol, v. 97
Doi: http://doi.org/10.1152/jn.01074.2006
Weigelt, S., Kourtzi, Z., Kohler, A., Singer, W. and Muckli, L., 2007. The cortical representation of objects rotating in depth Journal of Neuroscience, v. 27
Doi: http://doi.org/10.1523/JNEUROSCI.0340-07.2007
Ostwald, D., Lam, J., Humphreys, K. and Kourtzi, Z., 2007. Decoding of global forms in the human visual cortex PERCEPTION, v. 36
2006
Spehar, B., Clifford, C., Seymour, K. and Kourtzi, Z., 2006. The role of the lateral occipital complex (LOC) in perception of illusory contours AUSTRALIAN JOURNAL OF PSYCHOLOGY, v. 58
Jastorff, J., Kourtzi, Z. and Giese, MA., 2006. Learning to discriminate complex movements: Biological versus artificial trajectories Journal of Vision, v. 6
Doi: http://doi.org/10.1167/6.8.3
Kourtzi, Z., 2006. Textures of natural images in the human brain. Focus on "orientation-selective adaptation to first- and second-order patterns in human visual cortex" Journal of Neurophysiology, v. 95
Doi: http://doi.org/10.1152/jn.01039.2005
2005
Kourtzi, Z., Betts, LR., Sarkheil, P. and Welchman, AE., 2005. Distributed neural plasticity for shape learning in the human visual cortex. PLoS biology., v. 3
Altmann, CF., Grodd, W., Kourtzi, Z., Bülthoff, HH. and Karnath, H-O., 2005. Similar cortical correlates underlie visual object identification and orientation judgment. Neuropsychologia, v. 43
Doi: http://doi.org/10.1016/j.neuropsychologia.2005.03.015
Welchman, AE., Deubelius, A., Conrad, V., Bülthoff, HH. and Kourtzi, Z., 2005. 3D shape perception from combined depth cues in human visual cortex Nature Neuroscience, v. 8
Doi: http://doi.org/10.1038/nn1461
2004
Altmann, CF., Deubelius, A. and Kourtzi, Z., 2004. Shape saliency modulates contextual processing in the human lateral occipital complex. J Cogn Neurosci, v. 16
Doi: http://doi.org/10.1162/089892904970825
2003
Welchman, AE., Deubelius, A., Maier, SJ., Bülthoff, HH. and Kourtzi, Z., 2003. fMRI correlates of visual cue combination Journal of Vision, v. 3
Doi: http://doi.org/10.1167/3.9.850
Kourtzi, Z., Tolias, AS., Altmann, CF., Augath, M. and Logothetis, NK., 2003. Integration of local features into global shapes: monkey and human FMRI studies. Neuron, v. 37
Doi: http://doi.org/10.1016/s0896-6273(02)01174-1
Kourtzi, Z., Erb, M., Grodd, W. and Bülthoff, HH., 2003. Representation of the perceived 3-D object shape in the human lateral occipital complex. Cereb Cortex, v. 13
Doi: http://doi.org/10.1093/cercor/13.9.911
2002
Altmann, CF., Kourtzi, Z., Grodd, W. and Bülthoff, HH., 2002. Contextual effects on shape processing in the human visual cortex PERCEPTION, v. 31
Kourtzi, Z., Bülthoff, HH., Erb, M. and Grodd, W., 2002. Object-selective responses in the human motion area MT/MST NATURE NEUROSCIENCE, v. 5
Doi: 10.1038/nn780
2001
2000
Kourtzi, Z. and Rainer, G., 2000. Perceptual learning in naturalistic images. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, v. 41
1999
Kourtzi, Z. and Kanwisher, N., 1999. Common cortical regions involved in representing shape from line drawings and grayscale photographs. JOURNAL OF COGNITIVE NEUROSCIENCE,
Kourtzi, Z. and Nakayama, K., 1999. Dissociation between static and dynamic perceptual representations INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, v. 40
1998
1997