Diego Vidaurre
@neurovidaurre
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Doing computational neuroscience and methods development at CFIN (Aarhus University)
Oxford, England
Joined December 2015
We launch the Gaussian-Linear HMM, generalising a lot of previous HMMs into 1 single model. The attached Python GLHMM toolbox has a focus on testing and prediction of brain-behaviour associations, so that it can be used end-to-end.
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RT @ceciliajarne: I will be presenting tomorrow 20/7 the Tutorial: "Implementing the Gaussian-Linear Hidden Markov model (GLHMM), with a pa…
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RT @MEG_UKI_2024: MEG-UKI 2024 is coming to Birmingham! Save the date: Mon 28th - Thu 31st October We are teaming up with our colleagues…
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RT @DanBang_: ⭐️ Postdoc in Cognitive Neuroscience & Computational Psychiatry ⭐️ Help us understand decision-making and learning, using be…
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RT @florin_neuro: Yet another open PostDoc/PhD position in our group. Interested in Parkinson's disease, MEG and inctracranial recordings?…
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RT @tkarap: Had an incredible time visiting our brilliant friend and collaborator @neurovidaurre's lab at @CFIN_AU. Thank you for the warm…
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RT @naddenmark: Computational neuroscience methods can provide new approaches to scientific questions 🖥️ Read more about NAD fellows Marta…
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Open PhD position in Barcelona to work on computational modelling of disease trajectories, supervised by me and Chris Butler To know more about the process: TOUCH Info Day – MSCA-COFUND TOUCH (
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RT @danilobzdok: Finally out ! Performance reserves in brain-imaging-based phenotype prediction What if we has 1,000,000 datapoints? @K…
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Open call for a PhD in Barcelona working on machine learning using rich longitudinal neuroimaging, genetics and behavioural data, with the aim of predicting disease trajectories in dementia. With me as one of two primary supervisors. Please get in touch if interested. #phdchat
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So I guess we would be progressively deprecating the Matlab toolbox...
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