- Assistant Professor:Faculty of Social Sciences / School of Psychology
- Head:Faculty of Social Sciences / Vision Modelling Laboratory
- W.Joseph MacInnes has been at HSE since 2013.
Education and Degrees
Bachelor's in Computer Technology
Technical University of Nova Scotia
BA in History
Student Term / Thesis Papers
Z. Cherkasova «Restricted Boltzmann Machine (RBM) as a Representation of the Top-Down Semantic Component of Visual Search». Faculty of Social Sciences, 2018
A. Kulikova «Using Diffusion Models to Demonstrate the Difference Between Saccades and Antisaccades». Faculty of Social Sciences, 2017
G. Zhulikov «Comparison of Generative Neural Networks as Models of Eye Movements». Faculty of Computer Science, 2018
R. Bhatnagar «Top Down Influence on Bottom Up Attention: Attention Set, Modulation or New Category». Faculty of Social Sciences, 2018
K. Korotaev «Using TMS to Identify Links Between Deep Neural Networks and Visual Cortex». Faculty of Social Sciences, 2018
S. Krasovskaya «Deep-Learning Neural Nets as a Model of Saccadic Generation». Faculty of Social Sciences, 2018
T. Malevich «Cueing Effects and Perceptual Merging in Spatial Attention: An Electrophysiological Study». Faculty of Social Sciences, 2017
L. Ardasheva «The Role of Frontal Eye Field for Executive Functions: a Combined TMS/Eye-Tracking Study». Faculty of Social Sciences, 2017
E. Gordienko «Computational Models of Salience and Task on Visual Search». Faculty of Social Sciences, 2016
- Practical Training in Psychology. Eye-tracking: Methods and Technologies (Bachelor’s programme; Faculty of Social Sciences; programme "Psychology"; 4 year, 3 module)Eng
- Project Proposal (Bachelor’s programme; Faculty of Social Sciences; programme "Psychology"; 4 year, 3 module)Rus
- Theory and Methodology of Modern Psychology (Master’s programme; Institute of Cognitive Neuroscience; programme "Cognitive Sciences and Technologies: From Neuron to Cognition"; 1 year, 1, 2 module)Eng
Term 1,2 (Fall 2015) General Psychology
Term 1,2,3,4 (2015/2016) Workshop on Machine learning and Computational Modelling
Term 1,2 (Fall 2015) Experimental Psychology
Research Laboratory grant winner, 2019 for the labratory 'Vision Modelling Lab'
Research team 'NUG' 2017 grant winner for the project 'A computational model to simulate visual stability from eye movements and spatial attention', Visit our group website at
- Article MacInnes W., Hunt A., Clarke A., Dodd M. A Generative Model of Cognitive State from Task and Eye Movements // Cognitive Computation. 2018. Vol. 10. No. 5. P. 703-717. doi
- Article Chetverikov A., Kuvaldina M., MacInnes W., Johannesson O. I., Kristjansson A. Implicit processing during change blindness revealed with mouse-contingent and gaze-contingent displays // Attention, Perception and Psychophysics. 2018. P. 844-859. doi
- Article MacInnes W., Bhatnagar R. No supplementary evidence of attention to a spatial cue when saccadic facilitation is absent // Scientific Reports. 2018. Vol. 8. No. 1. P. 13289-1 -13289-13. doi
- Article Malevich T., Ardasheva L., Krüger H., MacInnes W. Temporal ambiguity of onsets in a cueing task prevents facilitation but not Inhibition of return // Attention, Perception and Psychophysics. 2018. No. 80 (1). P. 106-117. doi
- Article MacInnes W. Multiple Diffusion Models to Compare Saccadic and Manual Responses for Inhibition of Return // Neural Computation. 2017. No. 29(3). P. 804-824. doi
- Article MacInnes W., Krüger H., Hunt A. Just passing through? Inhibition of return in saccadic sequences // The Quarterly Journal of Experimental Psychology. 2015. No. 68 (2). P. 402-416. doi
- Article MacInnes W., Hunt A. Attentional load interferes with target localization across saccades // Experimental brain research. 2014. Vol. 232. No. 12. P. 3737-3748. doi
- Article MacInnes W., Santosa S., Wright W. Visual Classification: Expert Knowledge Guides Machine Learning // IEEE Computer Graphics and Applications. 2010. Vol. 30. No. 1. P. 8-14.
- Article MacInnes W., Klein R. Inhibition of return biases orienting during the search of complex scenes // The Scientific World Journal. 2003. No. 3(3). P. 75-86. (in press)
- Article MacInnes W., Taylor T. Millisecond timing on PCs and Macs // Behavior Research Methods, Instruments, and Computers. 2001. Vol. 33. No. 2. P. 174-178.
- Article Shore D., Stanford L., MacInnes W., Brown R., Klein R. Of mice and men: Virtual Hebb—Williams mazes permit comparison of spatial learning across species // Cognitive, Affective and Behavioral Neuroscience. 2001. Vol. 1. No. 1. P. 83-89.
- Article Klein R., MacInnes W. Inhibition of Return is a foraging facilitator in visual search // Psychological Science. 1999. Vol. 10. No. 4. P. 346-352.
HSE Moscow Vision Modelling Lab (VML)
Our research group is all grown up, and will now become one of Psychology's new Scientific research Laboratories! From here on we will be the HSE Moscow Vision Modelling Lab (VML)
Our new website can be found here https://social.hse.ru/en/vml/
Or visit us at
Slavyanskaya Square, 4/2, Moskva, 109074
Славянская пл., 4/2, Москва, 109074
The Vision Modelling Lab conducted the 2nd Research Seminar dedicated to deep learning neural networks and Python.
This year, HSE has supported the founding of 10 new Research and Teaching Laboratories (RTLs) in various fields, from cognitive psychology and computer modeling, to international justice and economics of sports.
On November, 22 International Faculty Support Unit has organized a peer-to peer workshop for international faculty members on teaching at HSE. The seminar enabled newcomers to get acquainted with specifics of the teaching process at HSE, and their more experienced colleagues had an opportunity to share their experience.
Joseph MacInnes has been Assistant Professor at HSE School of Psychology since 2013. He teaches both undergraduate and graduate students of HSE Faculty of Social Sciences. In February he conducted an extended workshop on eyetracking for students of Master’s programme Cognitive Sciences and Technologies: from Neuron to Cognition. Professor MacInnes has talked to HSE News Service about his work at HSE, the nature of his research and shared his recommendations for international students on better adapting to Russian culture.