I am a faculty member in the departments of Computer Science and of Cognitive Science at the Hebrew University of Jerusalem. My fields of interest are Computational Linguistics and Natural Language Processing. Specifically, I conduct research on semantic (meaning) representation from a computational perspective. My research is tightly linked to statistical learning, language technology (such as Machine Translation and Information Extraction), and computational modeling of child language acquisition.
Prof. Grodzinsky is the head of the Neurolinguistics Laboratory at the Edmond and Lily Safra Center for Brain Sciences (ELSC), and studies the neural bases of linguistic knowledge and processing. Linguistic knowledge (about how phonemes combines into morphemes and words, which in turn combine into complex meanings) is characterized by Linguistic Theory; processing ability stems from the implementation of this knowledge in cognitive structures that are supported by neural mechanisms. The Neurolinguistics Lab studies the intricate relation between these, that results in that rich ability that we humans have - the ability to express ourselves freely, and understand others who do so. We try to get a glimpse of the linguistic brain in health as well as in brain disease.
I am interested in understanding the computational principles underlying complex behaviors and cognitive processes, and how these emerge from the (relatively) simple microscopic physical processes in the brain. In particular, I am interested in the neural basis and computational principles underlying operant learning. To that goal, I study the behavior of humans and animals in controlled and natural conditions, and develop computational and mechanistic neural networks models to explain these behaviors. Additional areas of research in my laboratory include unsupervised learning in perception, and the dynamics of synapses in the cortex and its relation to learning.