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Current team
Nina Kazanina is our PI whose expertise is in psychology and cognitive neuroscience of language including speech processing, sentence comprehension and language development.
Fengyun Hou, Ph.D
Fengyun is interested in language, learning and memory. Fengyun received her PhD from the university of bristol where she studied
Théo Desbordes, Ph.D Google Scholar
Théo is interested on neural replay, compression mechanisms, and applying AI in Neuroscience. His current research investigates how linguistic constructions are stored in memory over time.
He earned his PhD from Sorbonne University, studying compositionality in language processing through human neuroimaging and neural language models using advanced techniques like magnetoencephalography ,intracranial electroencephalography and computational methods
Itsaso Olasagasti Rodríguez, Ph.D. Google Scholar
Itsaso is interested in exploring how the brain represents and processes syntactic structures in human language. Her current research investigates the extent to which the computations involved in human language might share mechanisms with the brain’s general strategies for representing structured knowledge.
Itsaso received her PhD from Universidad del País Vasco/Euskal Herriko Unibertsitatea (Physics) where she was studying cosmological models within General Relativity.
Nosratullah Mohammadi, Ph.D. Website
Nosratullah is interested on neural dynamics, manifold and low-dimensional organizations, spiking neuronal networks and speech processing. His current researcher is on investigating neural population dynamics using tools from dynamical systems and statistical modeling, with a focus on bio-inspired compositional mechanisms underlying syntactic language processing.
He received his PhF from the University of Geneva where he studied on uncovering low-dimensional, interpretable structure in spiking activity during speech processing and working memory. He developed reduced models that link latent dynamical structure to observed neural spiking activity.
Mamady Nabe, Ph.D Website
Mamady is interested on the neural mechanisms underlying adaptive speech planning in natural, real-world conversations. His current research utilizes intracranial electroencephalography (iEEG) to understand how the brain dynamically prepares and executes speech during spontaneous human interaction.
Mamady received his PhD from the University Grenoble Alps, where he studied on the Bayesian cognitive modeling of speech segmentation, exploring how neural oscillations provide a temporal framework for language processing.
Nicolas Piron: Website Google Scholar
Nicolas is a PhD student interested on how the brain processes and remembers sequential information, with a particular interest in the hippocampus and its interactions with prefrontal and sensory cortices. Concretely, He is using MEG and intracranial sEEG recordings, to investigate the oscillatory and replay mechanisms underlying sequence encoding and memory consolidation, and asks whether these mechanisms generalize to language comprehension.
Nicola received his Master degree in neuroscience from the University of Geneva completed his master's, where he used surface EEG to study visual attention in patients with thalamic damage.
Katarina Labancová: Website
Katarina is a PhD student interested in neural mechanisms of compositionality and hierarchy formation in language. Katarina aims to explore how do we understand what pieces of information belong together and form one concept? Concretely, She uses magnetoencephalography data, a combination of spectral analyses and decoding, aiming to discover what neural mechanisms underlie binding during online language comprehension.
Katarína received her master’s degree from Radboud University where she studied neural mechanisms of structural inference.
Kishen Senziani Website
Kishen is a PhD student interested in applied cognitive neuroscience in children and young adults. Kishen aims to establish a practicable and cost-effective solution to clinical evaluation of developmental language disorder (DLD). Concretely, using a mobile EEG to create a normative model of neural responses to frequecny-tagged lexical item and phrases in healthy human and to explore the neural integration of multiple frequency tags to pinpoint exactly where structural language comprehension is impaired in children with DLD.
Kishen received two Master degree's in neuroscience and psychology from the University of Geneva where he studied spatial navigation strategies using fMRI in the neuroscience master and the effect of gamma oscillations on learning in the psychology master.
Manon Briet
Manon is Master's student of Neuroscience at the university of Geneva. Her thesis is part on Nicolas's Piron project, about establishing the underlying processes behind episodic memory temporal encoding.
Manon received her Bachelor degree in Biology from the University of Geneva.
Alumni
Priyanka Sukumaran is a 3rd year PhD student interested in natural language processing, episodic memory and reward learning. She uses methods ranging from cognitive tasks, computational modelling, deep learning and EEG.
Dario Fuentes Grandon is a 3rd year PhD student whose research is at the intersection of speech perception, cognitive sciences and neuroscience. More specifically, he is interested in how people learn and adapt to non-native accents.