Collaborators

Neuroimaging data for model-based interpretation

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
Mario Senden: fMRI data for cognition
Maurizio Corbetta: model-based analysis of fMRI data for prognosis in stroke patients
Dante Mantini: EEG and fMRI data for visual and motor tasks

Analysis of electrophysiological data in cortical networks

Adria Tauste-Campo: Statistical methods and connectivity measures for epilepsy
Alexander Thiele: multiunit activity data from monkeys
Pierre Yger: Models of STDP for spiking neuronal networks

Theory for network dynamics, neural representations and learning

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
Gorka Zamora-López: Graph theory and network dynamics

Past laboratories:

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