152 citations · 187 across the 6 of their papers we have counts for
6 papers
Fighting seizures with seizures: diffusion and stability in neural systems
Erik D. Fagerholm, Chayanin Tangwiriyasakul, Karl J. Friston +8
Seizure activity is a ubiquitous and pernicious pathophysiology that, in principle, should yield to mathematical treatments of (neuronal) ensemble dynamics - and therefore interven…
Estimating required 'lockdown' cycles before immunity to SARS-CoV-2: Model-based analyses of susceptible population sizes, 'S0', in seven European countries including the UK and Ireland
Rosalyn J. Moran, Erik D. Fagerholm, Maell Cullen +6
We used Bayesian model inversion to estimate epidemic parameters from the reported case and death rates from seven countries using data from late January 2020 to April 5th 2020. Tw…
Analysis of an Automated Machine Learning Approach in Brain Predictive Modelling: A data-driven approach to Predict Brain Age from Cortical Anatomical Measures
Jessica Dafflon, Walter H. L Pinaya, Federico Turkheimer +7
The use of machine learning (ML) algorithms has significantly increased in neuroscience. However, from the vast extent of possible ML algorithms, which one is the optimal model to…
Balanced activation in a simple embodied neural simulation
Peter J. Hellyer, Claudia Clopath, Angie A. Kehagia +2
In recent years, there have been many computational simulations of spontaneous neural dynamics. Here, we explore a model of spontaneous neural dynamics and allow it to control a vi…
Spatial dependency between task positive and task negative networks
Robert Leech, Gregory T. Scott, Robin Carhart-Harris +3
Functional neuroimaging reveals both relative increases (task-positive) and decreases (task-negative) in neural activation with many tasks. There are strong spatial similarities be…
Self-similar correlation function in brain resting-state fMRI
Paul Expert, Renaud Lambiotte, Dante R. Chialvo +4
Adaptive behavior, cognition and emotion are the result of a bewildering variety of brain spatiotemporal activity patterns. An important problem in neuroscience is to understand th…