Data and Code for: Role of the hippocampus in decision making under uncertainty
Our matlab libraries are required for running our tasks and provide a lot of useful functions for analysing Eyelink and other data.
All data and code for our series of experiments on memory interference, from Tabi et al., Brit J Psychol 2019, is available here:
Our model of working memory, presented in Manohar et al. Neurosci Bioheh. Reviews (2019), makes a large number of predictions. Even more can be generated by adjusting the model to simulate other tasks, so all code is available for Python, Matlab or Javascript:
We have prepared a tool for comparing hippocampal volume estimates from fMRI imaging against 19,700 healthy people from the UK Biobank. The pipeline, methods, and the key ageing effects are described in Nobis et al., Neuroimage Clinical (2019).
Ever wondered whether a spatial error is because participants mixed up the items, or had noisy representations, or simply forgot? We present an easy-to-use toolbox to fit these components to responses (Grogan et al. J Vision 2020).