Key research themes
1. What are the neural mechanisms underlying the generation of sensory event-related potentials (ERPs)?
This research theme investigates the fundamental neurophysiological origins and mechanisms that generate sensory ERPs, focusing on whether these potentials arise primarily from stimulus-evoked neural responses or phase resetting of ongoing oscillations. Determining the accurate neural basis is critical as ERPs link electrophysiological brain activity with hemodynamic measures like fMRI and underlie cognitive processing models.
2. How can advanced computational methods improve the analysis and classification of ERP data?
This area focuses on leveraging machine learning, signal processing, and neural network models to enhance the detection, characterization, and classification of ERP components. Addressing challenges such as high dimensionality, spatial-temporal dependencies, and limited calibration data, these methods aim to provide robust, interpretable, and data-efficient solutions applicable in cognitive neuroscience research and brain-computer interfaces.
3. What is the sensitivity and specificity of ERP components in representing perceptual and cognitive processes related to social stimuli such as faces and bodies?
This research cluster examines specific ERP components (e.g., N170, N190) evoked by social stimuli like faces and human bodies and their functional significance in perceptual categorization. Investigations assess the differentiation between face and body processing, effects of stimulus configuration, and generalization to schematic or face-like images, revealing distinctive temporal and topographic ERP signatures sensitive to social visual cues.