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.
The Vision Modelling Lab conducted the 8th Research Seminar on antisaccade studies.
The Vision Modelling Lab will conducted the 7th Research Seminar on convolutional neural networks.
The Vision Modelling Lab conducted the 6th Research Seminar on experimental design in Phychology and Psychophysics.
The Vision Modelling Lab conducted the 4th Research Seminar dedicated to Python and TMS research on visual cortex.
The Vision Modelling Lab will conduct the 3rd Research Seminar dedicated to saccade and microsaccade detection.
The Vision Modelling Lab took part in the first edition of the Transylvanian Machine Learning Summer School (TMLSS) dedicated to Deep Learning and Reinforcement Learning.
The Vision Modelling Lab conducted the 2nd Research Seminar dedicated to deep learning neural networks and Python.