Data science brings together computational and statistical skills for data-driven problem solving. This programme will equip students with the analytical tools to design sophisticated technical ...

This study presents a valuable insight into a computational mechanism of pain perception. The evidence supporting the authors' claims is compelling. The work will be of interest to pain researchers ...

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Innovation Centre in Digital Molecular Technologies, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, United Kingdom Department of Chemical ...

Enhanced memory for emotional stimuli is crucial for survival, but it may also contribute to the development and maintenance of fear-related disorders in case of highly aversive experiences. This ...

THB inversion utilizes a reversible-jump Markov-chain Monte Carlo (MCMC) algorithm to create a set of velocity models that best describe the observed data (Bodin et al., 2012; Burdick and Lekic, 2017) ...

The Psychophysics Toolbox (PTB) is one of the most popular toolboxes for the development of experimental paradigms. It is a very powerful library, providing low-level, platform independent access to ...

Computational Methods and Modeling for Engineering Applications (GENG 8030) is a foundational graduate course in the Master of Engineering (MEng) program at the University of Windsor. This course ...

The drift-diffusion model (DDM) is an important decision-making model in cognitive neuroscience. However, innovations in model form have been limited by methodological challenges. Here, we introduce ...