Publications

Publications of our lab's work include journal papers, conference posters, book chapters and software/code.

A few favourite papers (sorted by year, from old to new)

Haynes JD, Rees G (2005). Predicting the orientation of invisible stimuli from activity in human primary visual cortex. Nature Neuroscience, 8, 686-691; DOI: 10.1038/nn1445.

Haynes JD, Rees G (2006). Decoding mental states from brain activity in humans. Nature Reviews Neuroscience, 7, 523-534; DOI: 10.1038/nrn1931.

Haynes JD, Sakai K, Rees G, Gilbert S, Frith C, Passingham RE (2007). Reading Hidden Intentions in the Human Brain. Current Biology, 17, 323-328; DOI: 10.1016/j.cub.2006.11.072.

Soon CS, Brass M, Heinze HJ, Haynes JD (2008). Unconscious determinants of free decisions in the human brain. Nature Neuroscience, 11, 543-545; DOI: 10.1038/nn.2112.

Bode S, Haynes JD (2009). Decoding sequential stages of task preparation in the human brain. NeuroImage, 45, 606-613; DOI: 10.1016/j.neuroimage.2008.11.031.

Tusche A, Bode S, Haynes JD (2010). Neural Responses to Unattended Products Predict Later Consumer Choices. Journal of Neuroscience, 30, 8024-8031; DOI: 10.1523/JNEUROSCI.0064-10.2010.

Kahnt T, Heinzle J, Park SQ, Haynes JD (2010). The neural code of reward anticipation in human orbitofrontal cortex. Proceedings of the National Academy of Sciences, 107, 6010-6015; DOI: 10.1073/pnas.0912838107.

Chen Y, Namburi P, Elliott LT, Heinzle J, Soon CS, Chee MWL, Haynes JD (2011). Cortical surface-based searchlight decoding. NeuroImage, 56, 582-592; DOI: 10.1016/j.neuroimage.2010.07.035.

Bogler C, Bode S, Haynes JD (2011). Decoding Successive Computational Stages of Saliency Processing. Current Biology, 21, 1667-1671; DOI: 10.1016/j.cub.2011.08.039.

Heinzle J, Kahnt T, Haynes JD (2011). Topographically specific functional connectivity between visual field maps in the human brain. NeuroImage, 56, 1426-1436; DOI: 10.1016/j.neuroimage.2011.02.077.

Allefeld C, Haynes JD (2014). Searchlight-based multi-voxel pattern analysis of fMRI by cross-validated MANOVA. NeuroImage, 89, 345-357; DOI: 10.1016/j.neuroimage.2013.11.043.

Haufe S, Meinecke F, Görgen K, Dähne S, Haynes JD, Blankertz B, Bießmann F (2014). On the interpretation of weight vectors of linear models in multivariate neuroimaging. NeuroImage, 87, 96-110; DOI: 10.1016/j.neuroimage.2013.10.067.

Haynes JD (2015). A Primer on Pattern-Based Approaches to fMRI: Principles, Pitfalls, and Perspectives. Neuron, 87, 257-270; DOI: 10.1016/j.neuron.2015.05.025.

Hebart MN, Görgen K, Haynes JD (2015). The Decoding Toolbox (TDT): a versatile software package for multivariate analyses of functional imaging data. Frontiers in Neuroinformatics, 8; DOI: 10.3389/fninf.2014.00088.

Soch J, Haynes JD, Allefeld C (2016). How to avoid mismodelling in GLM-based fMRI data analysis: cross-validated Bayesian model selection. NeuroImage, 141, 469-489; DOI: 10.1016/j.neuroimage.2016.07.047.

Schultze-Kraft M, Birman D, Rusconi M, Allefeld C, Görgen K, Dähne S, Blankertz B, Haynes JD (2016). The point of no return in vetoing self-initiated movements. Proceedings of the National Academy of Sciences, 113, 1080-1085; DOI: 10.1073/pnas.1513569112.

Christophel TB, Iamshchinina P, Yan C, Allefeld C, Haynes JD (2018). Cortical specialization for attended versus unattended working memory. Nature Neuroscience, 21, 494; DOI: 10.1038/s41593-018-0094-4.

Görgen K, Hebart MN, Allefeld C, Haynes JD (2018). The same analysis approach: Practical protection against the pitfalls of novel neuroimaging analysis methods. NeuroImage, 180, 19-30; DOI: 10.1016/j.neuroimage.2017.12.083.