Max Planck Institute for Human Cognitive and Brain Sciences
Neural Field Models
Extending the neural mass models by adding a spatial dimension.
Biologically realistic modelling of intracortical and white matter connectivity patterns.
Introducing temporal delays into the model.
Application of neural field model of the visual cortex to the explanation perception and learning phenomena.
Using a whole brain neural field model to explore the relationship between neural activity and resting state fMRI
Thomas Knösche (responsible)
Manh Nguyen Trong
MPI for Mathematics in Natural Sciences (Fatihkan Atay)
University of Birmingham (Ingo Bojak)
Nguyen Trong, M.; Bojak, I.; Knösche, T. R.: Modelling Spontaneous State Switching in Visual Cortex Using a Realistic Mean-Field Model. Poster at Annual Computational Neuroscience Meeting CNS 2011
Nguyen Trong, M.; Spiegler, A.; Knösche, T.R.: Neural Field Model of Rat's Cortex Based on Realistic Connectivity from diffusion weighted MRI and Neural Morphology, Poster at Computational Neuroscience, CNS 2010