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.
Tomasello, R., Garagnani, M., Wennekers, T., Pulvermüller, F., 2017. Brain connections of words, perceptions and actions: A neurobiological model of spatio-temporal semantic activation in the human cortex. Neuropsychologia 98, 111–129, doi: 10.1016/j.neuropsychologia.2016.07.004
Garagnani, M., Lucchese, G., Tomasello, R., Wennekers, T., Pulvermüller, F., 2017. A Spiking Neurocomputational Model of High-Frequency Oscillatory Brain Responses to Words and Pseudowords. Front. Comput. Neurosci. 10, doi: 10.3389/fncom.2016.00145