Collaborators

Ongoing collaborations

Andrea Brovelli: comparison of model-based and model-free analysis of MEG and fMRI data for cognition
Xenia Kobeleva: whole-brain modeling for fMRI data applied to neuropahtologies, in particular Alzheimer disease and amyotrophic lateral sclerosis
Wafaa Zaaraoui: multimodal MRI for clinical application
Mario Senden: fMRI data for cognition
Adria Tauste-Campo: Statistical methods and connectivity measures for epilepsy
Pierre Yger: Models of STDP for spiking neuronal networks
Gorka Zamora-López: Graph theory and network dynamics
Meysam Hashemi: Model inference
Moritz Helias: Theory for network dynamics and learning

Rubén Moreno-Bote: Neural information theory
Jean-Pascal Pfister: Theory for neuronal dynamics and learning
Timothée Masquelier: STDP dynamics and information transmission
Andrea Insabato: Machine learning and neuroimaging analysis
Maurizio Corbetta: Model-based analysis of fMRI data for prognosis in stroke patients
Dante Mantini: EEG and fMRI data for visual and motor tasks
Alexander Thiele: multiunit activity data from monkeys

Moritz Helias at Theory of Multi-scale Neuronal Networks, Jülich Research Center (Germany): Statistical physics methods for neuroscience
Gustavo Deco at Center for Brain and Cognition, Universitat Pompeu Fabra (Barcelona, Spain): Large-scale brain models for cognition and neuropathologies
Tomoki Fukai at Riken Brain Science Institute (Wako-shi, Japan): Functional implications of STDP dynamics
Anthony Burkitt, David Grayden and Doreen Thomas at University of Melbourne (Australia): STDP dynamics in recurrently connected networks
Konstantin Borovkov at University of Melbourne (Australia): Stochastic processwes to model network spiking dynamics