Low-level image properties of visual objects predict patterns of neural response across category-selective regions of the ventral visual pathway G Rice, DM Watson, T Hartley, T Andrews Journal of Neuroscience 34 (26), 8837-8844, 2014 | 146 | 2014 |
Patterns of response to visual scenes are linked to the low-level properties of the image DM Watson, T Hartley, T Andrews Neuroimage 99, 402-410, 2014 | 83 | 2014 |
Low-level properties of natural images predict topographic patterns of neural response in the ventral visual pathway T Andrews, DM Watson, G Rice, T Hartley Journal of Vision 15 (7), 1-12, 2015 | 81 | 2015 |
Fractionating the anterior temporal lobe: MVPA reveals differential responses to input and conceptual modality C Murphy, SA Rueschemeyer, D Watson, T Karapanagiotidis, ... NeuroImage 147, 19-31, 2017 | 71 | 2017 |
Patterns of neural response in scene-selective regions of the human brain are affected by low-level manipulations of spatial frequency DM Watson, M Hymers, T Hartley, T Andrews Neuroimage 124, 107-117, 2016 | 51 | 2016 |
On the Role of Suppression in Spatial Attention: Evidence from Negative BOLD in Human Subcortical and Cortical Structures A Gouws, I Alvarez, DM Watson, M Uesaki, J Rogers, T Morland Journal of Neuroscience 24 (31), 10347-10360, 2014 | 50 | 2014 |
Modelling the perceptual similarity of facial expressions from image statistics and neural responses M Sormaz, DM Watson, W Smith, A Young, T Andrews Neuroimage 129, 64-71, 2016 | 31 | 2016 |
Spatial properties of objects predict patterns of neural response in the ventral visual pathway DM Watson, A Young, T Andrews Neuroimage 126, 173-183, 2016 | 29 | 2016 |
Distinct mechanisms govern recalibration to audio-visual discrepancies in remote and recent history DM Watson, MA Akeroyd, NW Roach, BS Webb Scientific Reports 9 (1), 8513, 2019 | 24 | 2019 |
A data driven approach to understanding the organization of high-level visual cortex DM Watson, TJ Andrews, T Hartley Scientific Reports 7 (1), 3596, 2017 | 21 | 2017 |
Patterns of response to scrambled scenes reveal the importance of visual properties in the organization of scene-selective cortex DM Watson, T Hartley, TJ Andrews Cortex 92, 162-174, 2017 | 15 | 2017 |
A data‐driven approach to stimulus selection reveals an image‐based representation of objects in high‐level visual areas DD Coggan, A Giannakopoulou, A Sanah, G Burcu, DM Watson, T Hartley, ... Human Brain Mapping, 2019 | 11 | 2019 |
Multiple spatial reference frames underpin perceptual recalibration to audio-visual discrepancies DM Watson, MA Akeroyd, NW Roach, BS Webb Plos One 16 (5), e0251827, 2021 | 8 | 2021 |
A data-driven characterisation of natural facial expressions when giving good and bad news DM Watson, BB Brown, A Johnston PLOS Computational Biology 16 (10), e1008335, 2020 | 8 | 2020 |
Order processing of number symbols is influenced by direction, but not format B Wong, R Bull, D Ansari, DM Watson, GAD Liem Quarterly Journal of Experimental Psychology, 2022 | 7 | 2022 |
An evaluation of how connectopic mapping reveals visual field maps in V1 DM Watson, TJ Andrews Scientific Reports 12 (1), 16249, 2022 | 6 | 2022 |
The representation of shape and texture in category-selective regions of ventral-temporal cortex DD Coggan, DM Watson, A Wang, R Brownbridge, C Ellis, K Jones, ... Europen Jounral of Neuroscience, 2022 | 5 | 2022 |
A narrow band of image dimensions is critical for face recognition TJ Andrews, D Rogers, M Mileva, DM Watson, A Wang, AM Burton Vision Research 212, 108297, 2023 | 4 | 2023 |
Connectopic mapping techniques do not reflect functional gradients in the brain DM Watson, TJ Andrews NeuroImage 277, 120228, 2023 | 3 | 2023 |
Distinct patterns of neural response to faces from different races in humans and deep networks A Wang, MW Sliwinska, DM Watson, S Smith, TJ Andrews Social Cognitive and Affective Neuroscience 18 (1), nsad059, 2023 | 1 | 2023 |