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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