Theory and brain-grounded neurocomputational modelling
We use neuroanatomically and neurophysiologically inspired network models to address questions about language and cognition. These networks mimic the structure and connectivity of the language areas and sensorimotor systems of the human cortex to model language learning and breakdown due to lesions. The networks help explain established knowledge about specific neurocognitive and –linguistic brain activations and offer new experimental predictions to be addressed in neuroimaging experiments or patient studies.
- Garagnani, M, Wennekers, T, and Pulvermüller, F (2008) A neuroanatomically-grounded Hebbian learning model of attention-language interactions in the human brain. European Journal of Neuroscience 27, 492-513
- Pulvermüller, F, Garagnani, M, and Wennekers, T (2014). Thinking in circuits: Towards neurobiological explanation in cognitive neuroscience. Biological Cybernetics, June 2014.