Genomic alterations, neurodegenerative proteinopathies, tau and TDP-43 pathology.

My research lies at the interface between computational neuroscience and complex systems science, while borrowing concepts from other fields, such as game theory and experimental psychology. I use multi-agent reinforcement learning to investigate collective adaptation to change, when individuals exhibit biased decision-making.

I aim to use analytical and numerical models to uncover the functional role of grid cells, and to link their dysfunction to behavioral deficits seen in medial temporal lobe pathologies such as Alzheimer’s disease.

Object perception, visual cognition, object recognition, computational neuroscience, face perception, scene perception, ultra-high field MRI.

Body image, body ownership, interoception, virtual reality and eating disorders. The main aim of my research is to better understand body image disturbances in eating disorders and to investigate the interaction between body ownership and interoception. In my research I use virtual reality technology to investigate ways to reduce body image disturbances.

Noninvasive brain stimulation, repetitive transcranial magnetic stimulation (rTMS), clinical neuroscience, glioma, motor system, plasticity, reorganization.

Clinical psychology and neurology, computational neuroscience, psychophysics.

I am establishing a closed-loop stimulation paradigm for amelioration of Parkinson’s symptoms. Moreover I am developing few software pipelines for analyzing neural and kinematics data.

Neural correlates of play behavior in rodents.

TARPs (Transmembrane AMPAR Regulatory Proteins) are a family of auxiliary proteins which modulate many aspects of AMPA receptor physiology. I use patch-clamp recording to examine how they alter ion channel pharmacology and are regulated by phosphorylation.

Cognitive neuroscience, vision, fMRI, DNNs, object representations, ventral visual stream.

I work with induced pluripotent stem cells (iPSCs) and we differentiate them into peripheral sensory neurons (iPSC-DSN) to model chemotherapy-induced polyneuropathy. Expanding on this model, we will differentiate iPSCs to Schwann cells and to motor neurons, to study inflammatory demyelinating polyneuropathies (IDP) such as chronic IDP, Guillain-Barré syndrome, immune checkpoint inhibitor-related neuropathies and paraneoplastic neuropathies.

Vision neuroscience, cognitive computational neuroscience.

Theoretical neuroscience, statistical analysis of neural data, plasticity, inhibition

Digital psychiatry, how do people diagnosed with bipolar disorder interact with/within the ever-evolving realm of digital health?

Neuroimmunology, toll-like receptors, neurodegeneration.

Deep reinforcement learning, cognitive neuroscience, animal psychology

I am applying methods from computational psychiatry to understand the neural mechanisms of hallucinations induced by serotonergic psychedelics.

The rhythms of the brain often emerge from timely interactions between functionally and morphologically distinct neural populations. These interactions can be described by mathematical models and understood through the theory of dynamical systems. In my research, I extend classic models of Sharp Wave-Ripples to include recent and ongoing discoveries on cell-type heterogeneity and study their effects on the network dynamics. These waves originate in the hippocampus and are crucial for memory consolidation.

I am researching the role of microRNAs within the context of neurodegeneration, particularly in Alzheimer’s disease. These molecules may be novel regulators of inflammatory processes in the disease and provide the opportunity for therapeutic and biomarker discovery for Alzheimer’s.

Parkinson’s disease is a neurodegenerative disorder, with the loss of dopaminergic neurons in the basal ganglia being one of the main pathologies of the disease. Deep brain stimulation of the subthalamic nucleus had revealed pathological synchronization of the neural activity in the basal ganglia, within the frequency range of 8-35 Hz. However, both, the mechanism of the this synchronization remains unknown. My research focuses on investigating these fundamental mechanisms through time-resolved spectral parametrization of the brain activity and the resulting couplings of the periodic and aperiodic spectral features.

Value-based decision making and task representation in the brain; human fMRI and multivariate analysis methods.

Biophysical neuron models, central pattern generators.

The main aim is to investigate the interaction between world knowledge and temporal verb morphology in language processing. A secondary aim is to investigate this effect in non-native speakers of diverse linguistic backgrounds to determine how the grammar of a native language can affect the on-line processing of a second language when multiple sources of information are involved.

We are interested in identifying the mechanisms that regulate the normal timing, extent and final maturation of the dendritic tree during formation of the mammalian neocortex. Furthermore, we also investigate how defects in these mechanisms contribute to the development of neurodevelopmental disorders.

My research is focused on the autophagosomal-lysosomal system and unconventional roles of these organelles like exocytosis. Specialized culturing vessels called microfluidic devices are used to separate and study neuronal compartments by live-cell imaging, immunocytochemistry, mass spectrometry and biochemical methods. I am also investigating the microtubule post-translational modification acetylation and the mechanism of the acetylating enzyme αTAT1 to recognize and enter the microtubule lumen.

Tractography, functional neurosurgery.

Connectomics, deep brain stimulation, fiber filtering, movement disorders, Tourette’s syndrome.

Computational psychiatry, MRI, machine learning.

I am interested in high-order cognitive functions and general theories explaining cognition such as hierarchical predictive processing.

Electrophysiological characterisation and connectivity analysis of interneurons in the mouse parasubiculum.

Applying computational models to understand intelligent decision-making on a behavioral systems and a neurophysiological circuit level in animals. Incorporate dopamine and serotonin sensors to elucidate the role of these neuromodulators in decision-making, as well as their contribution to related behavior in models of psychiatric conditions.

I am interested in neuronal and circuit mechanisms underlying psychedelic actions with a particular emphasis on dendro-somatic processing in cortical layer 5b pyramidal neurons and the circuit involving layer 6b and higher-order thalamus.