The Moscow Vision Modelling Lab research focus is computational models of vision. Our primary approach is computational cognitive neuroscience with members and partners in cognitive psychology, computer science and cognitive neuroscience. Computational modelling has been an important and growing technique within psychology and neuroscience in recent years due to its ability to quantify best current theories of cognition, make testable predictions that can be verified experimentally, and integrate results from diverse experiments into a complex model.
Congratulations to Sofia Tkhan Tin Le who received a V-VSS 2021 Elsevier/Vision Research Travel Award, which allows her to present at Vision Sciences Society conferencce at no additional cost.
Vision Modelling Lab invites applications for postdoctoral research positions to work on computational models of top-down attention and control of eye movements.
The course "Practical Training in Psychology. Eye-tracking: Methods and Technologies" taught by Prof. MacInnes to the students of bachelor's program in psychology was named the best in the category 'Best Course for New Knowledge and Skills'. Congratulations!
VML is looking for research assistants who would like to join an ongoing research project based on modelling MEG data. The position is for a fixed 9 month term. If you are interested, for more details, please contact Dr. MacInnes.
We congratulate Joe MacInnes on the new article "Inhibition of return: An information processing theory of its natures and significance" in Cortex!
The Vision Modelling Lab conducted the 26th Research Seminar together with Icelandic Vision Lab of the University of Iceland.
We congratulate Joe MacInnes on the new article "Russian blues reveal the limits of language influencing colour discrimination" in Cognition!
Vision Modelling Lab invites applications for postdoctoral research positions in the field of computational models of attention that simulates functioning of human visual and oculomotor systems.
Vision Modelling Lab invites applications for postdoctoral research positions in the field of computational models of attention.