Wiktoria is a DPhil student in the Experimental Psychology department, funded by ESRC. Her research belongs to the field of Cognitive Computational Neuroscience.
Wiktoria's background is in Psychology, Neuroscience, Statistics/Mathematics and Economics. She is interested in consciousness and understanding how the brain builds generative models of the environment, and is especially interested in predictive processing and the Bayesian brain hypothesis.
In her work, Wiktoria employs a combination of neuroimaging, computational modelling, and behavioural paradigms. Some of her past projects have involved using neural networks and Bayesian modelling to explain the computational basis of cognitive biases, Distributional Reinforcement Learning and fMRI to understand the neural and behavioural signatures of reward probability distribution processing, and EEG and Drift Diffusion Models to investigate evidence accumulation in volitional and perception-based movement generation.
Wiktoria's current project investigates how humans infer the generative models of the environment, focusing on the latent causes and hidden states inference, which is a crucial missing element in the predictive processing approach to cognition and consciousness.
