95 citations · 170 across the 8 of their papers we have counts for
9 papers
Bayesian optimization for automatic design of face stimuli
Pedro F. da Costa, Romy Lorenz, Ricardo Pio Monti +2
Investigating the cognitive and neural mechanisms involved with face processing is a fundamental task in modern neuroscience and psychology. To date, the majority of such studies h…
Interpretable brain age prediction using linear latent variable models of functional connectivity
Ricardo Pio Monti, Alex Gibberd, Sandipan Roy +6
Neuroimaging-driven prediction of brain age, defined as the predicted biological age of a subject using only brain imaging data, is an exciting avenue of research. In this work we…
Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization
Romy Lorenz, Ricardo Pio Monti, Adam Hampshire +7
Non-invasive brain stimulation, such as transcranial alternating current stimulation (tACS) provides a powerful tool to directly modulate brain oscillations that mediate complex co…
Text-mining the NeuroSynth corpus using Deep Boltzmann Machines
Ricardo Pio Monti, Romy Lorenz, Robert Leech +2
Large-scale automated meta-analysis of neuroimaging data has recently established itself as an important tool in advancing our understanding of human brain function. This research…
Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization
Romy Lorenz, Ricardo P Monti, Ines R Violante +4
Bayesian optimization has been proposed as a practical and efficient tool through which to tune parameters in many difficult settings. Recently, such techniques have been combined…
Streaming regularization parameter selection via stochastic gradient descent
Ricardo Pio Monti, Romy Lorenz, Robert Leech +2
We propose a framework to perform streaming covariance selection. Our approach employs regularization constraints where a time-varying sparsity parameter is iteratively estimated v…