Goddard Lab

Using machine learning with neural data

• Goddard E, Mullen KT (2025) Temporal Evolution of Color Representations Measured with Magnetoencephalography Reveals a “Coarse to Fine” Dynamic. Journal of Cognitive Neuroscience, 37(11):2326-2350 https://doi.org/10.1162/JOCN.a.56
• Dermody N, Lorenz R, Goddard E, Villringer A, Woolgar A (2025) Spatial and feature-selective attention interact to drive selective coding in frontoparietal cortex. Neuropsychologia, 216:109172 https://doi.org/10.1016/j.neuropsychologia.2025.109172
• Goddard E, Shooner C, Mullen KT (2022) Magnetoencephalography contrast adaptation reflects perceptual adaptation. Journal of Vision, 22(10):16, 1-19 https://doi.org/10.1167/jov.22.10.16
  
• Goddard E, Contini E, Irish M (2022) Exploring information flow from posteromedial cortex during visuospatial working memory - a magnetoencephalography study. Journal of Neuroscience, 42(30):5944-5955 https://doi.org/10.1523/JNEUROSCI.2129-21.2022
• Goddard E, Carlson T, Woolgar A (2022) Spatial and Feature-selective attention have distinct, interacting effects on population-level tuning. Journal of Cognitive Neuroscience, 32 (2):290-312 https://doi.org/10.1162/jocn a 01796
• Barnes L, Goddard E, Woolgar A (2022) Neural coding of visual objects rapidly reconfigures to reflect subtrial shifts in attentional focus. Journal of Cognitive Neuroscience, 34 (5): 806822 https://doi.org/10.1162/jocn a 01832
• Goddard E, Mullen KT (2021) Attention selectively enhances stimulus information for surround over foveal representations in occipital cortex. Journal of Vision, 21(3):20, 1-19 https://doi.org/10.1167/jov.21.3.20
• Contini EW, Goddard E, Wardle S (2021) Reaction times predict dynamic brain representations measured with MEG for only some object categorisation tasks. Neuropsychologia, 151, 107687 https://doi.org/10.1016/j.neuropsychologia.2020.107687
• Goddard E, Mullen KT (2020) fMRI representational similarity analysis reveals graded preferences for chromatic and achromatic stimulus contrast across human visual cortex. NeuroImage, 215, 116032 https://doi.org/10.1016/j.neuroimage.2020.116780
• Contini EW, Goddard E, Grootswagers T, Williams M, Carlson TA (2020) A humanness dimension to visual object coding in the brain. NeuroImage, 221, 107687 https://doi.org/10.1016/j.neuroimage.2020.117139
• Goddard E, Chang DH, Hess RF, Mullen KT (2019) Color contrast adaptation: fMRI fails to predict behavioral adaptation. NeuroImage, 201, 116032 http://dx.doi.org/10.1016/j.neuroimage.2019.116032
• Goddard E, Klein C, Solomon SG, Hogendoorn H, Carlson TA (2018) Interpreting the dimensions of neural feature representations revealed by dimensionality reduction. NeuroImage, 180, 41-67 http://dx.doi.org/10.1016/j.neuroimage.2017.06.068 
  
• Carlson T, Goddard E, Kaplan DM, Klein C, Ritchie JB (2018) Ghosts in machine learning for cognitive neuroscience: Moving from data to theory. NeuroImage, 180, 88-100 http://dx.doi.org/10.1016/j.neuroimage.2017.08.019 
• Goddard E, Solomon, SG, Carlson, TA (2017). Dynamic Population Codes of Multiplexed Stimulus Features in Primate Area MT. Journal of Neurophysiology 118 (1), 203-218 http://dx.doi.org/10.1152/jn.00954.2016
• Goddard E, Carlson, TA, Dermody, N, Woolgar, A (2016). Representational dynamics of object recognition: feedforward and feedback information flows. Neuroimage, 128, 385-397 http://dx.doi.org/10.1016/j.neuroimage.2016.01.006
  
• Goddard E, Mannion DM, McDonald JS, Solomon SG, Clifford CWG (2010). Combination of Subcortical Colour Channels in Human Visual Cortex. Journal of Vision, 10(5):25, 1-17 http://journalofvision.org/content/10/5/25