Neural Field Models
Keypoints
- 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
People involved
- Thomas Knösche (responsible)
- Manh Nguyen Trong
Cooperations
- MPI for Mathematics in Natural Sciences (Fatihkan Atay)
- University of Birmingham (Ingo Bojak)
Publications
- 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