Adress: Habelschwerdter Allee 45, 14195 Berlin
Room: JK 31/224
Telephone Number: +49 (0)30 838-56619
Rosario Tomasello´s main interest is on the neural basis of understanding and performing communicative action in the context of speech, gestures and intonation, taking into account social interaction, and common ground. Critical questions are: Which cortical areas are relevant for communicative acts processing and when in time they first emerge in the brain, and how are these cognitive processes instantiated in deprived conditions, such as aphasia and language impairments. Rosario is also interested in how different semantic word categories (e.g. animal, tool, action) are processed, stored and acquired in undeprived and visually deprived populations. Specifically, investigating semantic and pragmatic knowledge processing in the human brain by using neurobiologically constrained cortex model.
From 2014 to 2016, he held a research assistant position in Neurocomputational Modelling of Language Learning for the interdisciplinary BABEL project between Plymouth, Manchester and Berlin universities; 2016-2019 Rosario held is PhD at the Brain Language Lab (Freie Universität Berlin), which was founded by the Berlin School of Mind and Brain (Humboldt Universität zu Berlin), where he also completed the doctoral M&B program.
Tomasello, R., Garagnani, M., Wennekers, T., Pulvermüller, F. (2019) Recruitment of visual cortex for language processing in blind individuals is explained by Hebbian learning. Scientific Reports 9(1):3579.
Tomasello, R., Garagnani, M., Wennekers, T. & Pulvermüller, F. 2018. A neurobiologically constrained cortex model of semantic grounding with spiking neurons and brain-like connectivity. Front. Comput. Neurosci. 12, 88.
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, 98:111–29
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. 10:1–19.