What if all these different oscillations where entangled in a network of interdependence?

Linking neural activity to sensory, motor or cognitive processes is an ongoing goal in Neuroscience and articular attention has been devoted to the role of brain oscillations, analyzed by averaging over many trials in suitably designed tasks. Previous findings offer a glimpse of the complexity of the overall picture, but have also limitations. First, searchingLire la suite « What if all these different oscillations where entangled in a network of interdependence? »

Subject-specific maximum entropy model of resting state fMRI shows diagnostically distinct patterns of energy state distributions

Existing neuroimaging studies of psychotic and mood disorders have reported regional brain activation differences (first-order properties) and alterations in functional connectivity based on pairwise correlations in activation (second-order properties). In this preprint, in collaboration with Jonathan Rubin, Konasal Prasad et al. (Pittsburgh, PA), we use a generalized Ising model, also called a pairwise maximum entropyLire la suite « Subject-specific maximum entropy model of resting state fMRI shows diagnostically distinct patterns of energy state distributions »

CBGTPy: An extensible cortico-basal ganglia-thalamic framework for modeling biological decision making

In this preprint, in collaboration with Jonathan Rubin, Timothy Verstynen (Pittsburgh, PA) and Catalina Vich (Palma, Spain) we introduce CBGTPy, a virtual environment for designing and testing goal-directed agents with internal dynamics that are modeled on the cortico-basal-ganglia-thalamic (CBGT) pathways in the mammalian brain. CBGTPy enables researchers to investigate the internal dynamics of the CBGTLire la suite « CBGTPy: An extensible cortico-basal ganglia-thalamic framework for modeling biological decision making »