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David M Watson
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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
1422014
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
782015
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
772014
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
712017
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
512016
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
472014
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
312016
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
292016
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
232019
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
212017
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
162017
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
102019
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
72021
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
72020
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
52022
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
52022
Connectopic mapping techniques do not reflect functional gradients in the brain
DM Watson, TJ Andrews
NeuroImage 277, 120228, 2023
32023
An evaluation of how connectopic mapping reveals visual field maps in V1
DM Watson, TJ Andrews
Scientific Reports 12 (1), 16249, 2022
32022
Mapping the functional and structural connectivity of the scene network
DM Watson, TJ Andrews
Human Brain Mapping 45 (3), 1-21, 2024
2024
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
2023
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Articles 1–20