427 citations · 655 across the 27 of their papers we have counts for
6 papers · 1 filter
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…
Graph embeddings of dynamic functional connectivity reveal discriminative patterns of task engagement in HCP data
Ricardo Pio Monti, Romy Lorenz, Peter Hellyer +3
There is increasing evidence to suggest functional connectivity networks are non-stationary. This has lead to the development of novel methodologies with which to accurately estima…
The Automatic Neuroscientist: automated experimental design with real-time fMRI
Romy Lorenz, Ricardo Pio Monti, Ines R. Violante +4
A standard approach in functional neuroimaging explores how a particular cognitive task activates a set of brain regions (one task-to-many regions mapping). Importantly though, the…
Measuring the functional connectome "on-the-fly": towards a new control signal for fMRI-based brain-computer interfaces
Ricardo Pio Monti, Romy Lorenz, Christoforos Anagnostopoulos +2
There has been an explosion of interest in functional Magnetic Resonance Imaging (MRI) during the past two decades. Naturally, this has been accompanied by many major advances in t…
Local inhibitory plasticity tunes global brain dynamics and allows the emergence of functional brain networks
Peter J. Hellyer, Barbara Jachs, Robert Leech +1
Rich, spontaneous brain activity has been observed across a range of different temporal and spatial scales. These dynamics are thought to be important t for efficient neural functi…