Tait L & Zhang J. MEG cortical microstates: spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses. bioRxiv. [Main text]
Krzemiński D & Zhang J. Imperfect integration: sensory congruency between multiple sources modulates selective decision-making processes. bioRxiv. [Main text]
Zajkowski W & Zhang J. Within and Cross-Domain Effects of Choice-Induced Bias. bioRxiv. [Main text]
Karahan E, Tait L, Si R, Özkan A, Szul M, Zhang J. Individual variability in the human connectome maintains selective cross-modal consistency and shares microstructural signatures. bioRxiv. [Main text]
Tait L, Lopes MA, Stothart G, Baker J, Kazanina N, Zhang J, & Goodfellow M. A Large-Scale Brain Network Mechanism for Increased Seizure Propensity in Alzheimer’s Disease. bioRxiv. [Main text]
Si R, Rowe JB, & Zhang J. Functional localization and categorization of intentional decisions in humans: a meta-analysis of brain imaging studies. bioRxiv. [Main text]
Tait L, Ozkan A, Szul MJ, Zhang J. Cortical source imaging of resting-state MEG with a high resolution atlas: An evaluation of methods. BioRxiv 903302. [Main text] [Supplementary material] [Code]
Tomassini A, Price D, Zhang J, Rowe JB. On the evolution of neural decisions from uncertain visual input to uncertain actions. BioRxiv 803049. [Main text] [Supplementary material]
Lopes MA, Krzemiński D, Hamandi K, Singh KD, Masuda N, Terry JR, Zhang J (2021). A computational biomarker of juvenile myoclonic epilepsy from resting-state MEG. Clinical Neurophysiology, 132, 922-927. [Article]
Lopes MA, Zhang J, Krzemiński D, Hamandi K, Chen Q, Livi L, Masuda N (2021). Recurrence Quantification Analysis of Dynamic Brain Networks. European Journal of Neuroscience, 53:1040-1059. [Article]
Zajkowski W, Krzemiński D, Barone J, Evans LH, Zhang J (2020). Breaking Deadlocks: Reward Probability and Spontaneous Preference Shape Voluntary Decisions and Electrophysiological Signals in Humans. Computational Brain & Behavior. [Article] [Code] [Data]
Krzemiński D, Masuda N, Hamandi K, Singh KD, Routley B, Zhang J (2020). Energy landscape of resting magnetoencephalography reveals fronto-parietal network impairments in epilepsy. Network Neuroscience, 4:374-396. [Article] [Code]
Hodgetts CJ, Stefani M, Williams AN, Kolarik BS, Yonelinas AP, Ekstrom AD, Lawrence AD, Zhang J, Graham KS (2020). The role of the fornix in human navigational learning. Cortex, 124:97-110. [Article]
Szul MJ, Bompas A, Sumner P, Zhang J (2020). The validity and consistency of continuous joystick response in perceptual decision-making. Behavior Research Methods, 52:681–693. [Article] [Code & Data]
Karahan E, Costigan AG, Graham KS, Lawrence AD, Zhang J (2019). Cognitive and white-matter compartment models reveal selective relations between corticospinal tract microstructure and simple reaction time. Journal of Neuroscience, 39:5910-5921. [Article] [Code]
Wolpe N, Zhang J, Nombela C, Ingram JN, Wolpert DM, Rowe JB (2018) Sensory attenuation in Parkinson’s disease is related to disease severity and dopamine dose. Scientific reports 8:15643. [Article] [Preprint]
Jia K, Xue X, Lee J, Fang F, Zhang J, Li S. (2018). Visual perceptual learning modulates decision network in the human brain: the evidence from psychophysics, modeling, and functional magnetic resonance imaging. Journal of Vision, 18(12):9, 1–19. [Article]
Dima D, Perry G, Messaritaki E, Zhang J, Singh K (2018). Spatiotemporal dynamics in human visual cortex rapidly encode the emotional content of faces. Human Brain Mapping 39:3993–4006. [Article]
Phillips HN, Cope TE, Hughes LE, Zhang J, Rowe JB (2018). Monitoring the past and choosing the future: the prefrontal cortical influences on voluntary action. Scientific reports, 8(1):7247.
Zhang J, Nombela C, Wolpe N, Barker RA, Rowe JB (2016). Time on timing: Dissociating premature responding from interval sensitivity in Parkinson’s disease. Movement Disorders 31:1163–72.
Zhang J, Rittman T, Nombela C, Fois A, Coyle-Gilchrist I, Barker RA, Rowe JB (2016) Different decision deficits impair response inhibition in Progressive Supranuclear Palsy and Parkinson’s disease. Brain 139:161-73. (F1000 recommended)
Song Y, Zhang J (2016). Discriminating preictal and interictal brain states in intracranial EEG by sample entropy and extreme learning machine. Journal of Neuroscience Methods 57, 45-54.
Zhang J, Rowe JB (2015). The neural signature of information regularity in temporally extended event sequences. Neuroimage 107:266-76.
Mason S, Zhang J, Begeti F, Guzman NV, Lezar A, Rowe JB, Barker RA, Hampshire A (2015). The role of the amygdala during emotional processing in Huntington’s disease: From pre-manifest to late stage disease. Neuropsychologia 70:80-89.
Zhang J, Rowe JB (2014). Dissociable mechanisms of speed-accuracy tradeoff during visual perceptual learning are revealed by a hierarchical drift diffusion model. Frontiers in Neuroscience 8:69.
Zhang J, Kriegeskorte N, Carlin JD, Rowe JB (2013). Choosing the rules: distinct and overlapping fronto-parietal representations of chosen and specified task rules for perceptual decisions. Journal of Neuroscience 33:11852-62.
Song Y, Zhang J (2013). Automatic recognition of epileptic EEG patterns via extreme learning machine and multiresolution feature extraction. Expert Systems with Applications 40:5477-5489.
Zhang J, Hughes LH, Rowe JB (2012). Selection and inhibition mechanisms for human voluntary action decisions. Neuroimage 63:392-402. (F1000 recommended)
Zhang J (2012). The effects of evidence bounds on decision-making: theoretical and empirical developments. Frontiers in Psychology 3:263.
Song Y, Crowcroft J, Zhang J (2012). Automatic epileptic seizure detection in EEGs based on optimized sample entropy and extreme learning machine. Journal of Neuroscience Methods 210:132-146.
Zhang J, Messon A, Welchman A, Kourtzi Z (2010). Learning alters the tuning of functional magnetic resonance imaging patterns for visual forms. Journal of Neuroscience 30:14127-33.
Zhang J, Kourtzi Z (2010). Learning-dependent plasticity with and without training in the human brain. Proceedings of the National Academy of Sciences USA 107:13503-8.
Zhang J, Bogacz R (2010). Optimal decision making on the basis of evidence represented in spike trains. Neural Computation 22:1113-1148.
Zhang J, Bogacz R (2010). Bounded Ornstein-Uhlenbeck models for two-choice time controlled tasks. Journal of Mathematical Psychology 54:322-33.
Schwarzkopf DS, Zhang J, Kourtzi Z (2009). Flexible learning of natural statistics in the human brain. Journal of Neurophysiology 102:1854-67.
Zhang J, Bogacz R, Holmes P (2009). A comparison of bounded diffusion models for choice in time controlled tasks. Journal of Mathematical Psychology 53:231-41.
Bogacz R, Usher M, Zhang J, McClelland JL (2006). Extending a biologically inspired model of choice: multi-alternatives, nonlinearity and value-based multidimensional choice. Philosophical Transactions of the Royal Society Series B 362:1655-70.
Bogacz R, Usher M, Zhang J, McClelland JL (2011). Extending a biologically inspired model of choice: multi-alternatives, nonlinearity and value-based multidimensional choice. Seth A, Bryson J, and Prescott T Eds. Modeling Natural Action Selection. Cambridge Press.
Song Y, Crowcroft J, Zhang J (2012). Epileptic EEG Signal Analysis and Identification Based On Nonlinear Features. IEEE Bioinformatics and Biomedicine, Philadelphia, USA.
Zhang J, Bogacz R (2018). Superior colliculus and basal ganglia control the saccadic response in motion discrimination tasks. Advances in Cognitive Neurodynamics ICCN 2007, 475-479.