Collaborators

Neuroimaging data for model-based interpretation

Andrea Brovelli: MEG and fMRI data for auditory task and emotions
Andrea Insabato: Machine learning and neuroimaging analysis
Gorka Zamora-López: Graph theory and network dynamics
Mario Senden: fMRI data for cognitive tasks
Dante Mantini: EEG and fMRI data for visual and motor tasks
Maurizio Corbetta: fMRI data for stroke patients
Petra Ritter: fMRI data for resting-state and motor task

Analysis of electrophysiological data in cortical networks

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

Theory for network dynamics, neural representations and learning

Timothée Masquelier: STDP dynamics and information transmission
Jean-Pascal Pfister: Theory for neuronal dynamics and learning
Moritz Helias: Theory for network dynamics and learning
Rubén Moreno-Bote: Neural information theory

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