45 citations · 46 across the 3 of their papers we have counts for
4 papers
SimiNet: a Novel Method for Quantifying Brain Network Similarity
Ahmad Mheich, Mahmoud Hassan, Mohamad Khalil +3
Quantifying the similarity between two networks is critical in many applications. A number of algorithms have been proposed to compute graph similarity, mainly based on the propert…
Classification of meaningful and meaningless visual objects: a graph similarity approach
Ahmad Mheich, Mahmoud Hassan, Fabrice Wendling
Cognition involves dynamic reconfiguration of functional brain networks at sub-second time scale. A precise tracking of these reconfigurations to categorize visual objects remains…
Brain network modules of meaningful and meaningless objects
J. Rizkallah, P. Benquet, F. Wendling +4
Network modularity is a key feature for efficient information processing in the human brain. This information processing is however dynamic and networks can reconfigure at very sho…
Combining EEG source connectivity and network similarity: Application to object categorization in the human brain
Ahmad Mheich, Mahmoud Hassan, Olivier Dufor +2
A major challenge in cognitive neuroscience is to evaluate the ability of the human brain to categorize or group visual stimuli based on common features. This categorization proces…