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Cambridge Language Sciences

Interdisciplinary Research Centre
 


Read more at: Keith Liang

Keith Liang

I have been conducting my PhD research under the supervision of Professor Usha Goswami FRS CBE FBA and under the advice of Mr Mahmoud Keshavarzi at the University of Cambridge in the Kingdom since 2020. Prior to my PhD research at Cambridge in the Kingdom, I developed advanced computational skills while studying neurobiology at Columbia University in the States. In addition to scientific research, I also have received intensive training in paleography (i.e., research on ancient writing) and philology (i.e, research on historical change in language) in Taiwan.


Read more at: Sheila Flanagan

Sheila Flanagan

Phonological processing skills and reading development,
auditory processing disorder,
developmental auditory neuroscience,
psychoacoustics,
auditory semantics


Read more at: Dr Bingjiang Lyu

Dr Bingjiang Lyu

Journal articles

2019

  • Sheng, J., Zheng, L., Lyu, B., Cen, Z., Qin, L., Tan, LH., Huang, M-X., Ding, N. and Gao, J-H., 2019. The Cortical Maps of Hierarchical Linguistic Structures during Speech Perception. Cereb Cortex, v. 29
    Doi: http://doi.org/10.1093/cercor/bhy191
  • Lyu, B., Choi, HS., Marslen-Wilson, WD., Clarke, A., Randall, B. and Tyler, LK., 2019. Neural dynamics of semantic composition. Proc Natl Acad Sci U S A, v. 116
    Doi: http://doi.org/10.1073/pnas.1903402116
  • 2016

  • Lyu, B., Ge, J., Niu, Z., Tan, LH. and Gao, J-H., 2016. Predictive Brain Mechanisms in Sound-to-Meaning Mapping during Speech Processing. J Neurosci, v. 36
    Doi: http://doi.org/10.1523/JNEUROSCI.0583-16.2016
  • 2015

  • Fan, Y., Nickerson, LD., Li, H., Ma, Y., Lyu, B., Miao, X., Zhuo, Y., Ge, J., Zou, Q. and Gao, J-H., 2015. Functional Connectivity-Based Parcellation of the Thalamus: An Unsupervised Clustering Method and Its Validity Investigation. Brain Connect, v. 5
    Doi: http://doi.org/10.1089/brain.2015.0338
  • Ge, J., Peng, G., Lyu, B., Wang, Y., Zhuo, Y., Niu, Z., Tan, LH., Leff, AP. and Gao, J-H., 2015. Cross-language differences in the brain network subserving intelligible speech. Proc Natl Acad Sci U S A, v. 112
    Doi: http://doi.org/10.1073/pnas.1416000112

  • Read more at: Melek Karadag

    Melek Karadag

    Language comprehension; language acquisition; morphological processing; speech perception; orthographic processing


    Read more at: Professor Zoe Kourtzi

    Professor Zoe Kourtzi

    Learning and brain plasticity;
    cognitive ageing;
    adaptive behaviours across the lifespan

    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
  • Journal articles

    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

  • 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
  • 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
  • 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

  • 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
  • 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
  • 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

  • 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
  • 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
  • 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
  • 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
  • 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

  • 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
  • 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

  • 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

  • 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
  • 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
  • 2009

  • 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
  • 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
  • 2008

  • 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
  • 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
  • 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
  • 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

  • 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
  • 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
  • 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
  • 2006

  • 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
  • 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
  • 2005

  • 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
  • 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
  • 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

  • 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
  • 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
  • 2002

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

    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

  • 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
  • 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
  • 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
  • Conference proceedings

    2022

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

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

  • Read more at: Dr Andrew Thwaites

    Dr Andrew Thwaites

    Journal articles

    2022

  • Wingfield, C., Zhang, C., Devereux, B., Fonteneau, E., Thwaites, A., Liu, X., Woodland, P., Marslen-Wilson, W. and Su, L., 2022. On the similarities of representations in artificial and brain neural networks for speech recognition. Front Comput Neurosci, v. 16
    Doi: http://doi.org/10.3389/fncom.2022.1057439
  • 2018

  • Thwaites, A., Wingfield, C., Wieser, E., Soltan, A., Marslen-Wilson, WD. and Nimmo-Smith, I., 2018. Entrainment to the CIECAM02 and CIELAB colour appearance models in the human cortex. Vision Res, v. 145
    Doi: http://doi.org/10.1016/j.visres.2018.01.011
  • 2017

  • Thwaites, A., Schlittenlacher, J., Nimmo-Smith, I., Marslen-Wilson, WD. and Moore, BCJ., 2017. Tonotopic representation of loudness in the human cortex Hearing Research, v. 344
    Doi: http://doi.org/10.1016/j.heares.2016.11.015
  • Thwaites, A., Soltan, A., Wieser, E. and Nimmo-Smith, I., 2017. The difficult legacy of Turing’s wager Journal of Computational Neuroscience, v. 43
    Doi: http://doi.org/10.1007/s10827-017-0651-y
  • Wingfield, C., Su, L., Liu, X., Zhang, C., Woodland, P., Thwaites, A., Fonteneau, E. and Marslen-Wilson, WD., 2017. Relating Dynamic Brain States to Dynamic Machine States: Human and Machine Solutions to the Speech Recognition Problem PLoS Computational Biology, v. 13
    Doi: http://doi.org/10.1371/journal.pcbi.1005617
  • 2016

  • Thwaites, A., Glasberg, BR., Nimmo-Smith, I., Marslen-Wilson, WD. and Moore, BCJ., 2016. Representation of Instantaneous and Short-Term Loudness in the Human Cortex. Front Neurosci, v. 10
    Doi: http://doi.org/10.3389/fnins.2016.00183
  • 2015

  • Thwaites, A., Nimmo-Smith, I., Fonteneau, E., Patterson, RD., Buttery, P. and Marslen-Wilson, WD., 2015. Tracking cortical entrainment in neural activity: auditory processes in human temporal cortex. Front Comput Neurosci, v. 9
    Doi: http://doi.org/10.3389/fncom.2015.00005
  • Reports

    2015

  • Chandler, G., Hayes, D., Townsend, M. and Thwaites, A., 2015. Technical Report: Testing and operating the QuaeroSys Piezostimulator
    Doi: 10.17863/CAM.12955
  • Conference proceedings

    2010

  • Thwaites, A., Geertzen, J., Marslen-Wilson, WD. and Buttery, P., 2010. LIPS: a tool for predicting the lexical isolation point of a word
  • Williams, C., Thwaites, A., Buttery, P., Geertzen, J., Randall, B., Shafto, M., Devereux, B. and Tyler, L., 2010. The Cambridge Cookie-Theft Corpus: A Corpus of Directed and Spontaneous Speech of Brain-Damaged Patients and Healthy Individuals Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC’10),

  • Read more at: Dr Mirjana Bozic

    Dr Mirjana Bozic

    Neurobiology of language; speech; bilingualism


    Read more at: Dr Kate Plaisted-Grant

    Dr Kate Plaisted-Grant

    Journal articles

    2024

  • Guo, P., Carey, E., Plaisted-Grant, K. and Cheke, LG., 2024. Episodic memory during middle childhood: What is developing? J Exp Child Psychol, v. 240
    Doi: http://doi.org/10.1016/j.jecp.2023.105828
  • 2021

  • Finnemann, JJS., Plaisted-Grant, K., Moore, J., Teufel, C. and Fletcher, PC., 2021. Low-level, prediction-based sensory and motor processes are unimpaired in Autism. Neuropsychologia, v. 156
    Doi: http://doi.org/10.1016/j.neuropsychologia.2021.107835
  • Mechie, IR., Plaisted-Grant, K. and Cheke, LG., 2021. How does episodic memory develop in adolescence? Learn Mem, v. 28
    Doi: http://doi.org/10.1101/lm.053264.120
  • Ramamoorthy, N., Jamieson, O., Imaan, N., Plaisted-Grant, K. and Davis, G., 2021. Enhanced detection of gaze toward an object: Sociocognitive influences on visual search. Psychon Bull Rev, v. 28
    Doi: http://doi.org/10.3758/s13423-020-01841-5
  • Ramamoorthy, N., Parker, M., Plaisted-Grant, K., Muhl-Richardson, A. and Davis, G., 2021. Attention neglects a stare-in-the-crowd: Unanticipated consequences of prediction-error coding. Cognition, v. 207
    Doi: http://doi.org/10.1016/j.cognition.2020.104519
  • 2020

  • Finnemann, J., Plaisted-Grant, K., Moore, J., Teufel, C. and Fletcher, P., 2020. Low-level, prediction-based sensory and motor processes are unimpaired in Autism
    Doi: 10.1101/2020.09.01.277160
  • 2019

  • Ramamoorthy, N., Plaisted-Grant, K. and Davis, G., 2019. Fractionating the stare-in-the-crowd effect: Two distinct, obligatory biases in search for gaze. J Exp Psychol Hum Percept Perform, v. 45
    Doi: http://doi.org/10.1037/xhp0000655
  • 2017

  • Cooper, RA., Plaisted-Grant, KC., Baron-Cohen, S. and Simons, JS., 2017. Eye movements reveal a dissociation between memory encoding and retrieval in adults with autism Cognition, v. 159
    Doi: http://doi.org/10.1016/j.cognition.2016.11.013
  • 2016 (Accepted for publication)

  • Cooper, RA., Richter, FR., Bays, PM., Plaisted-Grant, KC., Baron-Cohen, S. and Simons, JS., 2016 (Accepted for publication). Reduced Hippocampal Functional Connectivity During Episodic Memory Retrieval in Autism Cerebral Cortex,
    Doi: http://doi.org/10.1093/cercor/bhw417
  • 2016

  • Gregory, BL. and Plaisted-Grant, KC., 2016. The Autism-Spectrum Quotient and Visual Search: Shallow and Deep Autistic Endophenotypes. J Autism Dev Disord, v. 46
    Doi: http://doi.org/10.1007/s10803-013-1951-3
  • Cooper, RA., Plaisted-Grant, KC., Baron-Cohen, S. and Simons, JS., 2016. Reality Monitoring and Metamemory in Adults with Autism Spectrum Conditions. Journal of Autism and Developmental Disorders, v. 46
    Doi: http://doi.org/10.1007/s10803-016-2749-x
  • 2015

  • Davis, G. and Plaisted-Grant, K., 2015. Low endogenous neural noise in autism. Autism, v. 19
    Doi: http://doi.org/10.1177/1362361314552198
  • Davis, G. and Plaisted-Grant, K., 2015. Response to commentaries on 'Low endogenous neural noise in autism'. Autism, v. 19
    Doi: http://doi.org/10.1177/1362361314565369
  • Cooper, RA., Plaisted-Grant, KC., Hannula, DE., Ranganath, C., Baron-Cohen, S. and Simons, JS., 2015. Impaired recollection of visual scene details in adults with autism spectrum conditions. J Abnorm Psychol, v. 124
    Doi: http://doi.org/10.1037/abn0000070
  • Cooper, RA., Plaisted-Grant, KC., Hannula, DE., Ranganath, C., Baron-Cohen, S. and Simons, JS., 2015. Impaired recollection of visual scene details in adults with autism spectrum conditions Journal of Abnormal Psychology, v. 124
    Doi: http://doi.org/10.1037/abn0000070
  • Cormack, R., Davis, G. and Plaisted-Grant, K., 2015. Equivalent noise (EN) analysis of motion direction discrimination in adults with Autism Spectrum Disorders (ASD) PERCEPTION, v. 44
  • 2013

  • Greenaway, R., Davis, G. and Plaisted-Grant, K., 2013. Marked selective impairment in autism on an index of magnocellular function. Neuropsychologia, v. 51
    Doi: http://doi.org/10.1016/j.neuropsychologia.2013.01.005
  • Teufel, C., von dem Hagen, E., Plaisted-Grant, KC., Edmonds, JJ., Ayorinde, JO., Fletcher, PC. and Davis, G., 2013. What is social about social perception research? Frontiers in Integrative Neuroscience,
  • Maister, L., Simons, JS. and Plaisted-Grant, K., 2013. Executive functions are employed to process episodic and relational memories in children with autism spectrum disorders. Neuropsychology, v. 27
    Doi: http://doi.org/10.1037/a0034492
  • 2012

  • Teufel, C., von dem Hagen, E., Plaisted-Grant, KC., Edmonds, JJ., Ayorinde, JO., Fletcher, PC. and Davis, G., 2012. What is social about social perception research? Frontiers in Integrative Neuroscience,
    Doi: http://doi.org/10.3389/fnint.2012.00128
  • 2011

  • Maister, L. and Plaisted-Grant, KC., 2011. Time perception and its relationship to memory in Autism Spectrum Conditions DEVELOPMENTAL SCI, v. 14
    Doi: http://doi.org/10.1111/j.1467-7687.2011.01077.x
  • 2010

  • Brown, J., Aczela, B., Jimenez, I., Kaufman, S. and Plaisted, KC., 2010. Intact implicit learning in autism spectrum conditions Quarterly Journal of Experimental Psychology, v. 63
    Doi: http://doi.org/10.1080/17470210903536910
  • 2009

  • Plaisted Grant, K. and Davis, G., 2009. Perception and apperception in autism: rejecting the inverse assumption. Philos Trans R Soc Lond B Biol Sci, v. 364
    Doi: http://doi.org/10.1098/rstb.2009.0001
  • 2008

  • Falter, CM., Plaisted, KC. and Davis, G., 2008. Visuo-spatial processing in autism--testing the predictions of extreme male brain theory. J Autism Dev Disord, v. 38
    Doi: http://doi.org/10.1007/s10803-007-0419-8
  • Falter, CM., Plaisted, KC. and Davis, G., 2008. Male brains, androgen, and the cognitive profile in autism: convergent evidence from 2D:4D and congenital adrenal hyperplasia. J Autism Dev Disord, v. 38
    Doi: http://doi.org/10.1007/s10803-008-0552-z
  • 2007

  • Falter, CM., Plaisted, K. and Davis, G., 2007. Competition between perceptual grouping principles reveals latent selective grouping abnormalities in autism Perception, v. 36
  • Davis, G. and Plaisted, K., 2007. Autism: Not interested or not 'Tuned-in"? Current Biology, v. 17
    Doi: http://doi.org/10.1016/j.cub.2007.08.003
  • 2006

  • Plaisted, K., Dobler, V., Bell, S. and Davis, G., 2006. The microgenesis of global perception in autism J AUTISM DEV DISORD, v. 36
    Doi: http://doi.org/10.1007/s10803-005-0047-0
  • Kovacs, K., Plaisted, KC. and Mackintosh, NJ., 2006. Difficulties differentiating dissociations Behavioral and Brain Sciences, v. 29
  • 2005

  • Greenaway, R. and Plaisted, K., 2005. Top-down attentional modulation in autistic spectrum disorders is stimulus-specific PSYCHOL SCI, v. 16
  • Plaisted, K. and Davis, G., 2005. Examining magnocellular processing in autism Cahiers De Psychologie Cognitive-Current Psychology of Cognition, v. 23
  • 2003

  • Plaisted, K., Saksida, L., Alcantara, J. and Weisblatt, E., 2003. Towards an understanding of the mechanisms of weak central coherence effects: experiments in visual configural learning and auditory perception PHILOS T ROY SOC B, v. 358
    Doi: http://doi.org/10.1098/rstb.2002.1211
  • 2002

  • Milne, E., Swettenham, J., Hansen, P., Campbell, R., Jeffries, H. and Plaisted, K., 2002. High motion coherence thresholds in children with autism Journal of Child Psychology and Psychiatry and Allied Disciplines, v. 43
  • 2001

  • O'Riordan, MA., Plaisted, KC., Driver, J. and Baron-Cohen, S., 2001. Superior visual search in autism Journal of Experimental Psychology-Human Perception and Performance, v. 27
  • O'Riordan, M. and Plaisted, K., 2001. Enhanced discrimination in autism Quarterly Journal of Experimental Psychology Section a-Human Experimental Psychology, v. 54
    Doi: http://doi.org/10.1080/713756000
  • 1999

  • Baron-Cohen, S., O'Riordan, M., Stone, V., Jones, R. and Plaisted, K., 1999. Recognition of faux pas by normally developing children and children with Asperger syndrome or high-functioning autism. J Autism Dev Disord, v. 29
    Doi: http://doi.org/10.1023/a:1023035012436
  • 1997

  • Plaisted, KC. and Sahakian, BJ., 1997. Dementia of frontal lobe type - living in the here and now AGING MENT HEALTH, v. 1
  • 1995

  • PLAISTED, KC. and MACKINTOSH, NJ., 1995. VISUAL-SEARCH FOR CRYPTIC STIMULI IN PIGEONS - IMPLICATIONS FOR THE SEARCH IMAGE AND SEARCH RATE HYPOTHESES ANIM BEHAV, v. 50
  • Conference proceedings

    2001

  • Plaisted, KC., 2001. Reduced generalization in autism: An alternative to weak central coherence DEVELOPMENT OF AUTISM: PERSPECTIVES FROM THEORY AND RESEARCH,

  • What we do

    Cambridge Language Sciences is an Interdisciplinary Research Centre at the University of Cambridge. Our virtual network connects researchers from five schools across the university as well as other world-leading research institutions. Our aim is to strengthen research collaborations and knowledge transfer across disciplines in order to address large-scale multi-disciplinary research challenges relating to language research.

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