Publications Overview

AI for Neuroscience

Giorgio J, Jagust W, Baker S, Landau S, Tino P, Kourtzi Z, for the Alzheimer’s Disease Neuroimaging Initiative (2022). A robust and interpretable machine learning approach using multimodal biological data to predict future pathological tau accumulation, Nature Communications, 13, 1887

Giorgio J, Landau S, Jagust W, Tino P, Kourtzi Z(2020) Modelling prognostic trajectories of cognitive decline due to Alzheimer's disease., NeuroImage: Clinical Volume 26, 2020, 102199. 

Cognitive Neuroscience

Michael, Santamaria, Leong, Kourtzi (2022), ­Learning at your brain’s rhythm: individualized entrainment boosts learning for perceptual decisions, Cerebral Cortex, bhac426, doi.org/10.1093/cercor/bhac426

Zamboni E, Kemper VG, Goncalves NR, Jia K, Karlaftis VM, Bell SJ, Giorgio J, Rideaux R, Goebel R and Kourtzi Z (2020) Fine-scale computations for adaptive processing in the human brain, eLife 2020;9:e57637. doi: 10.7554/eLife.57637. PMID: 33170124

Jia K, Zamboni E, Kemper V, Rua C, Reis Goncalves N, Ka Tsun Ng A, Rodgers CT, Williams G, Goebel R and Kourtzi Z (2020) Recurrent Processing Drives Perceptual Plasticity, Current Biology; 30, 4177-4187. PMID: 32888488

Frangou P, Emir UE, Karlaftis VM, Nettekoven C, Hinson EL, Larcombe S, Bridge H, Stagg CJ, Kourtzi Z (2019) Learning to optimizeperceptual decisions through suppressive interactions in the human brain, Nature Communications 10:474

Karlaftis VM, Giorgio J, Vértes PE, Wang R, Shen Y, Tino P,  Welchman AE, Kourtzi Z (2019). Multimodal imaging of brain connectivity reveals predictors of individual decision strategy in statistical learning, Nature Human Behaviour, 3:297-307.

Frangou P, Correia M, and Kourtzi Z (2018) GABA, not BOLD, reveals dissociable learning-dependent plasticity mechanisms in the human brain. eLife 25(Oct) eLife 2018;7:e35854

Publications from the lab are available by year: 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005 & 2000-2004.