Professor Zoe Kourtzi

Research

My research focuses on imaging the neural processes in the human brain that mediate complex, adaptive cognitive functions and behaviour. The aim of my work is to understand the neural processes that mediate complex cognitive functions (i.e. object categorization, recognition, perceptual decisions) and their experience-based and developmental neural plasticity. In particular, we combine multimodal brain imaging methods (structural and functional MRI, EEG, MEG), established behavioural paradigms from cognitive psychology and state-of-the art mathematical algorithms to understand the link between brain structure, neural function and behaviour. The development of these multidisciplinary and advanced tools has direct applications for translational research in ageing and neurological disorders with potential impact for the prevention and treatment of nervous system disorders. Within this framework research in my lab spans diverse areas in neuroscience: visual brain imaging, learning and plasticity, cognitive development of the intact and impaired brain across the lifespan from infancy to ageing.

Publications

Key publications:

Kuai S, Levi D, Kourtzi Z (2013). Learning optimizes decision templates in the ventral visual cortex, Current Biology, 23, 1799-804.

Kuai S, Kourtzi Z (2013). Learning to see, but not discriminate visual forms is impaired in aging. Psychological Science, 24, 412-22.

Mayhew SD, Li S, Kourtzi Z (2012). Learning acts on distinct processes form visual form perception in the human brain. J Neuroscience, 32, 775-86.

Kourtzi Z, Connor E (2011). Neural representations for object perception: structure, category and adaptive coding. Annual Review of Neuroscience, 34, 45-67.

Zhang J, Kourtzi Z (2010). Learning-dependent plasticity with and without training in the human brain. PNAS, 107,13503-8.

Li S, Mayhew S D, Kourtzi Z (2009). Learning shapes the representation of behavioral choice in the human brain, Neuron, 62, 441-52.

Publications (from Symplectic)

Journal articles

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

Jia, K., Goebel, R. and Kourtzi, Z., 2023. Ultra-High Field Imaging of Human Visual Cognition. Annu Rev Vis Sci, v. 9
Doi: 10.1146/annurev-vision-111022-123830

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)

Kourtzi, Z., 2020 (Accepted for publication). Fine-scale computations for adaptive processing in the human brain eLife,
Doi: http://doi.org/10.7554/eLife.57637

2020

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

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

2019

Kourtzi, Z. and Welchman, AE., 2019. Learning predictive structure without a teacher: decision strategies and brain routes. Curr Opin Neurobiol, v. 58
Doi: http://doi.org/10.1016/j.conb.2019.09.014

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)

Kourtzi, Z., 2017 (Accepted for publication). Functional brain networks for learning predictive statistics Cortex,
Doi: http://doi.org/10.1016/j.cortex.2017.08.014

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

Kuai, S-G., Li, W., Yu, C. and Kourtzi, Z., 2017. Contour Integration over Time: Psychophysical and fMRI Evidence. Cerebral Cortex, v. 27
Doi: http://doi.org/10.1093/cercor/bhw147

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

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

Di Bernardi Luft, C., Baker, R., Bentham, P. and Kourtzi, Z., 2015. Learning temporal statistics for sensory predictions in mild cognitive impairment. Neuropsychologia, v. 75
Doi: http://doi.org/10.1016/j.neuropsychologia.2015.06.002

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

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

2014

Shen, Y., Mayhew, SD., Kourtzi, Z. and Tiňo, P., 2014. Spatial-temporal modelling of fMRI data through spatially regularized mixture of hidden process models. Neuroimage, v. 84
Doi: http://doi.org/10.1016/j.neuroimage.2013.09.003

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

Welchman, AE. and Kourtzi, Z., 2013. Linking brain imaging signals to visual perception. Vis Neurosci, v. 30
Doi: http://doi.org/10.1017/S0952523813000436

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

Mayhew, SD. and Kourtzi, Z., 2013. Dissociable circuits for visual shape learning in the young and aging human brain. Front Hum Neurosci, v. 7
Doi: http://doi.org/10.3389/fnhum.2013.00075

Garcia, A., Kuai, S-G. and Kourtzi, Z., 2013. Differences in the time course of learning for hard compared to easy training. Front Psychol, v. 4
Doi: http://doi.org/10.3389/fpsyg.2013.00110

Kuai, S-G., Levi, D. and Kourtzi, Z., 2013. Learning optimizes decision templates in the human visual cortex. Curr Biol, v. 23
Doi: http://doi.org/10.1016/j.cub.2013.07.052

Kuai, S-G. and Kourtzi, Z., 2013. Learning to see, but not discriminate, visual forms is impaired in aging. Psychol Sci, v. 24
Doi: http://doi.org/10.1177/0956797612459764

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

Mayhew, SD., Li, S. and Kourtzi, Z., 2012. Learning acts on distinct processes for visual form perception in the human brain. J Neurosci, v. 32
Doi: http://doi.org/10.1523/JNEUROSCI.2033-11.2012

2011

Kourtzi, Z. and Connor, CE., 2011. Neural representations for object perception: structure, category, and adaptive coding. Annu Rev Neurosci, v. 34
Doi: http://doi.org/10.1146/annurev-neuro-060909-153218

2010

Kourtzi, Z., 2010. Visual learning for perceptual and categorical decisions in the human brain. Vision Res, v. 50
Doi: http://doi.org/10.1016/j.visres.2009.09.025

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

Zhang, J., Meeson, A., Welchman, AE. and Kourtzi, Z., 2010. Learning alters the tuning of functional magnetic resonance imaging patterns for visual forms. J Neurosci, v. 30
Doi: http://doi.org/10.1523/JNEUROSCI.2204-10.2010

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

Zhang, J. and Kourtzi, Z., 2010. Learning-dependent plasticity with and without training in the human brain. Proc Natl Acad Sci U S A, v. 107
Doi: http://doi.org/10.1073/pnas.1002506107

2009

Kourtzi, Z., 2009. Challenges in object recognition: selectivity vs invariance. Perception, v. 38

Schwarzkopf, DS., Zhang, J. and Kourtzi, Z., 2009. Flexible learning of natural statistics in the human brain. J Neurophysiol, v. 102
Doi: http://doi.org/10.1152/jn.00028.2009

Li, S., Mayhew, SD. and Kourtzi, Z., 2009. Learning shapes the representation of behavioral choice in the human brain. Neuron, v. 62
Doi: http://doi.org/10.1016/j.neuron.2009.03.016

Preston, TJ., Kourtzi, Z. and Welchman, AE., 2009. Adaptive estimation of three-dimensional structure in the human brain. J Neurosci, v. 29
Doi: http://doi.org/10.1523/JNEUROSCI.5021-08.2009

Zhang, J., Schwarzkopf, DS. and Kourtzi, Z., 2009. Learning image regularities for contour detection: when do you need a teacher? PERCEPTION, v. 38

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

Jastorff, J., Kourtzi, Z. and Giese, MA., 2009. Visual learning shapes the processing of complex movement stimuli in the human brain Journal of Neuroscience, v. 29
Doi: http://doi.org/10.1523/JNEUROSCI.3070-09.2009

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, 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

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

Schwarzkopf, DS. and Kourtzi, Z., 2008. Experience shapes the utility of natural statistics for perceptual contour integration. Curr Biol, v. 18
Doi: http://doi.org/10.1016/j.cub.2008.06.072

Kourtzi, Z., Krekelberg, B. and van Wezel, RJA., 2008. Linking form and motion in the primate brain. Trends Cogn Sci, v. 12
Doi: http://doi.org/10.1016/j.tics.2008.02.013

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

Ostwald, D., Lam, JM., Li, S. and Kourtzi, Z., 2008. Neural coding of global form in the human visual cortex. J Neurophysiol, v. 99
Doi: http://doi.org/10.1152/jn.01307.2007

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

2007

Ostwald, D., Lam, J., Humphreys, K. and Kourtzi, Z., 2007. Decoding of global forms in the human visual cortex PERCEPTION, v. 36

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

Li, S., Ostwald, D., Giese, M. and Kourtzi, Z., 2007. Flexible coding for categorical decisions in the human brain. J Neurosci, v. 27
Doi: http://doi.org/10.1523/JNEUROSCI.3795-07.2007

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

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

Kourtzi, Z. and DiCarlo, JJ., 2006. Learning and neural plasticity in visual object recognition. Curr Opin Neurobiol, v. 16
Doi: http://doi.org/10.1016/j.conb.2006.03.012

Tjan, BS., Lestou, V. and Kourtzi, Z., 2006. Uncertainty and invariance in the human visual cortex Journal of Neurophysiology, v. 96
Doi: http://doi.org/10.1152/jn.01367.2005

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
Doi: http://doi.org/10.1371/journal.pbio.0030204

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

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

Moutoussis, K., Keliris, G., Kourtzi, Z. and Logothetis, N., 2005. A binocular rivalry study of motion perception in the human brain. Vision Res, v. 45
Doi: http://doi.org/10.1016/j.visres.2005.02.007

Krekelberg, B., Vatakis, A. and Kourtzi, Z., 2005. Implied motion from form in the human visual cortex Journal of Neurophysiology, v. 94
Doi: http://doi.org/10.1152/jn.00690.2005

Kourtzi, Z. and Huberle, E., 2005. Spatiotemporal characteristics of form analysis in the human visual cortex revealed by rapid event-related fMRI adaptation NeuroImage, v. 28
Doi: http://doi.org/10.1016/j.neuroimage.2005.06.017

2004

Kourtzi, Z., 2004. "But still, it moves". Trends Cogn Sci, v. 8
Doi: http://doi.org/10.1016/j.tics.2003.12.001

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

Altmann, CF., Bülthoff, HH. and Kourtzi, Z., 2003. Perceptual organization of local elements into global shapes in the human visual cortex. Curr Biol, v. 13
Doi: http://doi.org/10.1016/s0960-9822(03)00052-6

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

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

2002

Kourtzi, Z. and Nakayama, K., 2002. Distinct mechanisms for the representation of moving and static objects VISUAL COGNITION, v. 9
Doi: http://doi.org/10.1080/13506280143000421

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

Thornton, IM. and Kourtzi, Z., 2002. A matching advantage for dynamic human faces. Perception, v. 31
Doi: http://doi.org/10.1068/p3300

2001

Kourtzi, Z. and Shiffrar, M., 2001. Visual representation of malleable and rigid objects that deform as they rotate. J Exp Psychol Hum Percept Perform, v. 27
Doi: http://doi.org/10.1037//0096-1523.27.2.335

Kourtzi, Z. and Kanwisher, N., 2001. Representation of perceived object shape by the human lateral occipital complex. Science, v. 293
Doi: http://doi.org/10.1126/science.1061133

Grill-Spector, K., Kourtzi, Z. and Kanwisher, N., 2001. The lateral occipital complex and its role in object recognition. Vision Res, v. 41
Doi: http://doi.org/10.1016/s0042-6989(01)00073-6

2000

Kourtzi, Z. and Rainer, G., 2000. Perceptual learning in naturalistic images. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, v. 41

Kourtzi, Z. and Kanwisher, N., 2000. Implied motion activates extrastriate motion-processing areasResponse to David and Senior (2000). Trends Cogn Sci, v. 4
Doi: http://doi.org/10.1016/s1364-6613(00)01512-6

Kourtzi, Z. and Kanwisher, N., 2000. Cortical regions involved in perceiving object shape. J Neurosci, v. 20
Doi: http://doi.org/10.1523/JNEUROSCI.20-09-03310.2000

Kourtzi, Z. and Kanwisher, N., 2000. Activation in human MT/MST by static images with implied motion. J Cogn Neurosci, v. 12
Doi: http://doi.org/10.1162/08989290051137594

1999

Kourtzi, Z. and Shiffrar, M., 1999. Dynamic representations of human body movement Perception, v. 28
Doi: http://doi.org/10.1068/p2870

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

Ceraso, J., Kourtzi, Z. and Ray, S., 1998. The integration of object properties. J Exp Psychol Learn Mem Cogn, v. 24
Doi: http://doi.org/10.1037//0278-7393.24.5.1152

1997

Kourtzi, Z. and Shiffrar, M., 1997. One-shot view invariance in a moving world PSYCHOLOGICAL SCIENCE, v. 8
Doi: http://doi.org/10.1111/j.1467-9280.1997.tb00462.x

Datasets

2024

Kourtzi, Z., 2024. Research data supporting: "Recurrent inhibition refines mental templates to optimize perceptual decisions".
Doi: http://doi.org/10.17863/CAM.108929

Lee, Y., Vaghari, D., Burkhart, MC., Tino, P., Montagnese, M., Li, Z., Zühlsdorff, K., Giorgio, J., Williams, G., Chong, E., Chen, C., Underwood, BR., Rittman, T., Kourtzi, Z. and Alzheimer’s Disease Neuroimaging Initiative, , 2024. Research data supporting: "Robust and interpretable AI-guided marker for early dementia prediction in real-world clinical settings"
Doi: http://doi.org/10.17863/CAM.108903

2023

Kourtzi, Z., Ziminski, J., Frangou, P., Karlaftis, V. and Emir, U., 2023. Research data supporting: "Microstructural and neurochemical plasticity mechanisms interact to enhance human perceptual decision making"
Doi: http://doi.org/10.17863/CAM.93457

2022

Jia, K., Frangou, P., Karlaftis, V., Ziminski, J., Giorgio, J., Rideaux, R., Zamboni, E., Hodgson, V. and Kourtzi, Z., 2022. Research data supporting "Neurochemical and functional interactions for improved perceptual decisions through training"
Doi: http://doi.org/10.17863/CAM.82236

Giorgio, J., Jagust, W., Baker, S., Landau, S., Tino, P. and Kourtzi, Z., 2022. Research Data Supporting ‘A robust and interpretable machine learning approach using multimodal biological data to predict future pathological tau accumulation’
Doi: http://doi.org/10.17863/CAM.80891

Michael, E., Covarrubias, LS., Leong, V. and Kourtzi, Z., 2022. Research Data supporting "Learning at your brain's rhythm: individualized entrainment boosts learning for perceptual decisions"
Doi: http://doi.org/10.17863/CAM.89519

2021 (No publication date)

Frangou, P., Karlaftis, V., Ziminski, J., Stagg, C., Emir, U. and Kourtzi, Z., 2021 (No publication date). Research data supporting "GABAergic-dependent myelin plasticity boosts learning for perceptual decisions"

Karlaftis, V., Frangou, P., Higgins, C., Vidaurre, D., Ziminski, J., Stagg, C., Emir, U. and Kourtzi, Z., 2021 (No publication date). Research data supporting "Brain stimulation boosts perceptual learning by altering sensory GABAergic plasticity and functional connectivity"
Doi: http://doi.org/10.17863/CAM.76081

2021

Karlaftis, V., Giorgio, J., Zamboni, E., Frangou, P., Rideaux, R., Ziminski, J. and Kourtzi, Z., 2021. Research data supporting "Functional interactions between sensory and memory networks for adaptive behaviour"
Doi: http://doi.org/10.17863/CAM.70738

Jia, K., Ng, AKT., Goncalves, NR., Zamboni, E., Kemper, V., Goebel, R., Welchman, AE. and Kourtzi, Z., 2021. Research data supporting "Ultra-high field neuroimaging reveals fine-scale processing for 3D perception"
Doi: http://doi.org/10.17863/CAM.74947

Karlaftis, V., Papadopoulos, A., Eldridge, M., Ross, P., Leong, V. and Kourtzi, Z., 2021. Research data supporting "i-ABC: a computerised application for online profiling of learning ability and cognitive flexibility"
Doi: http://doi.org/10.17863/CAM.77977

2020

Zamboni, E., Kemper, V., Goncalves, N., Jia, K., Karlaftis, V., Bell, S., Giorgio, J., Rideaux, R., Goebel, R. and Kourtzi, Z., 2020. Research data supporting "Fine-scale computations for adaptive processing in the human brain"
Doi: http://doi.org/10.17863/CAM.60330

Jia, K., Zamboni, E., Rua, C., Goncalves, NR., Kemper, V., Ng, AKT., Rodgers, CT., Williams, G., Goebel, R. and Kourtzi, Z., 2020. A Protocol for Ultra-High Field Laminar fMRI in the human brain
Doi: http://doi.org/10.17863/CAM.60568

Giorgio, J., Landau, S., Jagust, W., Tino, P. and Kourtzi, Z., 2020. Research Data Supporting "Modelling prognostic trajectories of cognitive decline due to Alzheimer's disease"
Doi: http://doi.org/10.17863/CAM.48706

2019

Frangou, P., Emir, U., Karlaftis, V., Nettekoven, C., Hinson, E., Larcombe, S., Bridge, H., Stagg, C. and Kourtzi, Z., 2019. Data supporting "Learning to optimize perceptual decisions through suppressive interactions in the human brain"
Doi: http://doi.org/10.17863/CAM.33382

Karlaftis, VM., Wang Rui, , Shen, Y., Tino, P., Williams, G., Welchman, A. and Kourtzi, Z., 2019. Research data supporting "White-Matter Pathways for Statistical Learning of Temporal Structures"
Doi: http://doi.org/10.17863/CAM.33379

Karlaftis, VM., Giorgio, J., Vertes, P., Wang, R., Shen, Y., Tino, P., Welchman, A. and Kourtzi, Z., 2019. Research data supporting "Multimodal imaging of brain connectivity reveals predictors of individual decision strategy in statistical learning"
Doi: http://doi.org/10.17863/CAM.34876

2018

Frangou, P., Correia, M. and Kourtzi, Z., 2018. Data supporting "GABA, not BOLD, reveals dissociable learning-dependent plasticity mechanisms in the human brain"
Doi: http://doi.org/10.17863/CAM.30241

Software

2024

Burkhart, MC., Lee, L., Vaghari, D., Qi, TA., Chong, E., Chen, C., Tino, P. and Kourtzi, Z., 2024. Unsupervised Multimodal Trajectory Modeling (code supplement)
Doi: http://doi.org/10.17863/CAM.102058

Theses / dissertations

2023 (No publication date)

Kampman, O., 2023 (No publication date). Robust time-varying functional connectivity estimation and its relevance for depression
Doi: 10.17863/CAM.94524

2022 (No publication date)

Georgieva, S., 2022 (No publication date). Genetic Modulation of the Neonatal Neural Processing of Speech at High and Low Familial Risk for Developmental Dyslexia

2020 (No publication date)

Giorgio, J., 2020 (No publication date). Modelling prognostic trajectories in Alzheimer’s disease
Doi: http://doi.org/10.17863/CAM.58841

2018

Frangou, P., 2018. Inhibitory mechanisms for visual learning in the human brain
Doi: http://doi.org/10.17863/CAM.28130

Conference proceedings

2022

Kourtzi, Z., 2022. Plastic Brains for flexible decisions PERCEPTION, v. 51

Aviles-Rivero, AI., Runkel, C., Papadakis, N., Kourtzi, Z. and Schönlieb, CB., 2022. Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 13433 LNCS
Doi: http://doi.org/10.1007/978-3-031-16437-8_69

2013

Shen, Y., Mayhew, S., Kourtzi, Z. and Tino, P., 2013. A spatial mixture approach to inferring sub-ROI spatio-temporal patterns from rapid event-related fMRI data. MICCAI 2013: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, v. 8150
Doi: http://doi.org/10.1007/978-3-642-40763-5_81

2006

Kourtzi, Z., Augath, M., Logothetis, NK., Movshon, JA. and Kiorpes, L., 2006. Development of visually evoked cortical activity in infant macaque monkeys studied longitudinally with fMRI. Magn Reson Imaging, v. 24
Doi: http://doi.org/10.1016/j.mri.2005.12.025

2000

Loula, F., Kourtzi, Z. and Shiffrar, M., 2000. Surface segmentation cues influence negative priming for novel and familiar shapes. J Exp Psychol Learn Mem Cogn, v. 26
Doi: http://doi.org/10.1037//0278-7393.26.4.929

1999

Kourtzi, Z. and Shiffrar, M., 1999. The visual representation of three-dimensional, rotating objects ACTA PSYCHOLOGICA, v. 102
Doi: http://doi.org/10.1016/S0001-6918(98)00056-0

Book chapters

2015

Kourtzi, Z., 2015. Neural Codes for Shape Perception
Doi: http://doi.org/10.1016/B978-0-12-397025-1.00035-X

2009

Orban, GA. and Kourtzi, Z., 2009. Functional Imaging of the Human Visual System
Doi: http://doi.org/10.1007/978-1-60327-919-2_17

Kourtzi, Z., 2009. Visual learning for optimal decisions in the human brain
Doi: http://doi.org/10.1017/CBO9780511635465.023

Research

Publications

Publications (from Symplectic)

2024 (Published online)

2024 (Accepted for publication)

2024

2023 (No publication date)

2023

2022 (Published online)

2022 (No publication date)

2022 (Accepted for publication)

2022

2021 (Accepted for publication)

2021

2020 (Accepted for publication)

2020

2019

2018 (Accepted for publication)

2018

2017 (Accepted for publication)

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2002

2001

2000

1999

1998

1997

2024

2023

2022

2021 (No publication date)

2021

2020

2019

2018

2024

2023 (No publication date)

2022 (No publication date)

2020 (No publication date)

2018

2022

2013

2006

2000

1999

2015

2009

Contact Details

Affiliations

Study at Cambridge

About the University

Research at Cambridge