Wavelet-based statistical analysis methods for fMRI are able to detect brain activity without smoothing the data. Typically, the statistical inference is performed in the wavelet ...
Previous neuroimaging studies have shown that complex visual stimuli, such as faces, activate multiple brain regions, yet little is known on the dynamics and complexity of the acti...
Ana Susac, Risto J. Ilmoniemi, Douglas Ranken, Sel...
Brain machine interfaces work by mapping the relevant neural activity to the intended movement known as ‘decoding’. Here, we develop a recursive Bayesian decoder for goaldirec...
Maryam Modir Shanechi, Gregory W. Wornell, Ziv Wil...
[Context and motivation] The increasing demand of software systems to process and manage sensitive information has led to the need that software systems should comply with relevant...
Shareeful Islam, Haralambos Mouratidis, Stefan Wag...
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...