Welcome to the Bonner Lab at the Cognitive Science Department of Johns Hopkins University, led by Assistant Professor Mick Bonner. Our research focuses on the intersection of neuroscience, artificial intelligence, and computational vision. We are dedicated to understanding how visual information is processed and represented in biological systems. Our approach combines neuroimaging and computational modeling to investigate the brain’s mechanisms for vision. We utilize advanced imaging techniques and deep learning models to explore the complex neural and computational underpinnings of visual perception.
Our goal is to uncover the core statistical principles governing visual representation in the brain. Our recent investigations have revealed that these representations are intrinsically high-dimensional and that new theoretical perspectives and methods are needed to understand the full complexity of human brain representations. These findings challenge traditional views of neural representations as low-dimensional objects, and they have inspired new directions of research into the computational and neural underpinnings of biological vision. Our ongoing work builds on these discoveries and seeks to push neuroscience research beyond the characterization of a handful of representational dimensions and toward a more comprehensive understanding of how the human brain operates in high dimensions.
