David M Watson
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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, 2021
A PCA-Based Active Appearance Model for Characterising Modes of Spatiotemporal Variation in Dynamic Facial Behaviours
DM Watson, A Johnston
Frontiers in Psychology 13, 2022
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
Evaluating the effectiveness of a multivariate autoregressive model in predicting the time course of dynamic facial behaviours
DM Watson, A Johnston
PsyArXiv, 2021
The Neural Representation of Scenes in Visual Cortex
DM Watson
University of York, 2016
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Articles 1–19