Our collaborative research group is dedicated to advancing the understanding of neural data through a geometry-driven, neuroscience-informed approach to data science. We employ computational methods to dissect and interpret the complex patterns inherent in neural datasets.
Mission: Our collaborative research group is dedicated to advancing the understanding of neural data through a geometry-driven, neuroscience-informed approach to data science. We employ computational methods to dissect and interpret the complex patterns inherent in neural datasets. Our focus is on developing both conceptual and computational tools to make neural data more understandable and accessible, using AI models as virtual organisms for exploring principles of representation learning and for the validation of our methods.
Vision: We aspire to create innovative tools and concepts that advance the fields of cognitive neuroscience, AI research, and clinical practices. Our goal is to reveal and understand the hidden structures of neural data, paving the way for groundbreaking discoveries and innovations. We envision a future where our contributions significantly enhance the comprehension and application of neural geometry in various scientific and practical domains.
What We Do: