Research fields: computational neuroscience, distributed dynamics and coding in neural networks, the neural code of adaptive (and maladaptive) behavior.
Research fields: Behavior and decision-making using big real-world data - mainly on how information is perceived, processed, and opinion formed for both individuals and groups across digital (and other) platforms.
Research fields: neural basis and computational principles of cognitive processes (perception, learning and behavior), neural networks, decision making.
Research fields: Functional brain networks, the cognitive cerebellum, body representations in the brain, cognitive-body connections, and characterization in pathological states.
Research fields: computational linguistics, natural language processing
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.
Research fields: computational neuroscience, distributed dynamics and coding in neural networks, the neural code of adaptive (and maladaptive) behavior.
Selected Publications 1. J. Courtin*, Y. Bitterman*, S. Müller, J. Hinz, K.M. Hagihara, C. Müller, A. Lüthi, A neuronal mechanism for motivational control of behavior, Science (375), 2022. 2. M. S. Fustiñana, T. Eichlisberger, T. Bouwmeester, Y. Bitterman*, A. Lüthi*, State-dependent encoding of exploratory behaviour in the amygdala, Nature (592) 267-271, 2021. 3. S. Krabbe, E. Paradiso, S. d’Aquin, Y. Bitterman, J. Courtin, C. Xu, K. Yonehara, M. Markovic, C., Müller, T. Eichlisberger, J. Gründemann, F. Ferraguti, A. Lüthi, Adaptive disinhibitory gating by VIP interneurons permits associative learning, Nat Neurosci (22) 1834–1843, 2019. 4. J. Grundemann*, Y. Bitterman*, T. Lu, S. Krabbe, B.F. Grewe, M.J. Schnitzer, A. Lüthi, Amygdala ensembles encode behavioral states, Science (364), 2019. Featured in: A. C. Huk and E. Hart, Parsing signal and noise in the brain, Science (364) 236-237, 2019. 5. Y. Bitterman, R. Mukamel, R. Malach, I. Fried & I. Nelken, Ultra-fine frequency tuning revealed in single neurons of human auditory cortex, Nature (451) 197-201, 2008. Reviewed in: J.W.H Schnupp and A.J. King, Auditory Neuroscience: Neuronal Sensitivity in Humans, Current Biology (18) R382-R385, 2008.
Research fields: Behavior and decision-making using big real-world data - mainly on how information is perceived, processed, and opinion formed for both individuals and groups across digital (and other) platforms.
Economic, Statistical, and Marketing analytical approaches. Behavior in social contexts (e.g., networks, groups). Interactions between AI and humans.
Research fields: Computational Methods for Animal Psychology and Welfare.
We use machine-learning to study positive Neuroscience in animals and in humans.
By using theory and friendly experiments to understand personality, behavior, hierarchy, communication, social learning, and much more, we hope to make the world happier for everybody.
Research fields: functional anatomy of language, linguistic theory (syntax, semantics), language acquisition, aphasia, individual variation.
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.
Research fields: Visual Cognition, Cognitive Neuroscience, Attention Research and Time Perception Research, Brain Oscillations.
I am an associate professor in the departments of Cognitive Sciences and Psychology at the Hebrew University of Jerusalem and the principle investigator of the Landau Lab. My academic path started here in Jerusalem where I studied Psychology and Philosophy for my BA and also completed a Masters degree in Neuropsychology. I then headed to Berkeley, California, to complete a PhD in Cognition Brain and Behavior in the Psychology department at UC Berkeley. With a PhD in hand, I headed to the Ernst Strüngmann Institute (ESI) for Neuroscience in cooperation with Max Plank Society, Frankfurt Germany. Finally, I am pleased to be doing research with all the bright minds in my group. Aside for training Babylon Fish and searching for the Philosophical Stone of immortality, we inquire about perception attention and temporal processing as well as the cognition function of neural oscillations (i.e., brain rhythms).
Research fields: neural basis and computational principles of cognitive processes (perception, learning and behavior), neural networks, decision making.
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.
Research fields:The relationship between memory and memory awareness, cognitive and neural development of memory.
Memory research is, and has been, dominated by the study of episodic memory — the encoding and retrieval of recently experienced information. Significantly less attention has been given to semantic memory — our existing knowledge networks. Work in my lab lies at an interface between these two approaches: (I) How does knowledge activated (implicitly or explicitly) during an episode affect memory of this episode? To examine this question, we (II) consider how our existing knowledge (parts of which become activated during an episode) is organized and store
Research fields: Functional brain networks, the cognitive cerebellum, body representations in the brain, cognitive-body connections, and characterization in pathological states.
Research fields: Computational Methods for Animal Psychology and Welfare.
We use machine-learning to study positive Neuroscience in animals and in humans.
By using theory and friendly experiments to understand personality, behavior, hierarchy, communication, social learning, and much more, we hope to make the world happier for everybody.
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