Our primary research interests are the following:
- Computational modeling of neural functions, including neurotransmission, information processing, plasticity, learning and memory in neural networks in vitro and in the brain
- Modeling neuron-glia interactions in vitro and in vivo
- Development of new mathematical tools for modeling
- Neural disease mechanisms
- Brain-inspired computations and technology (neuromorphic devices)
We are a multi-method computational and experimental neuroscience research group, with expertise in:
- Integration of wet-lab data (e.g. electrophysiology, microscopy) into integrative analysis
- Electrophysiology (patch-clamp, microelectrode arrays, local field potentials)
- Computational and theoretical neuroscience
- Application of mathematical theories in neuroscience
- Signal processing and image analysis
- High-performance computing
- Neuromorphic engineering
- Integration of machine learning methods with neuroscience