معرفی
Ed Connor is a Professor of Neuroscience at the Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, where he also serves as Director of the Zanvyl Krieger Mind/Brain Institute. His research focuses on neural mechanisms underlying visual object and scene perception, particularly in the ventral visual pathway.
Research Interests:
- Neural population coding of object shape and 3D structure
- Algorithms transforming images into visual knowledge
- Shape processing in higher-level visual cortex (e.g., area V4)
- Gravity-aligned scene representation
- Value-based visual processing
- Applications to deep learning and neural prosthetics
The recent publications reflect a strong focus on how populations of neurons encode complex visual features such as curvature, 3D shape, and scene structure. His work spans neurophysiology in non-human primates, computational modeling, and cross-modal comparisons. The research increasingly integrates value and spatial context into object representation, suggesting a holistic model of visual processing. Key brain areas include V4 and inferotemporal cortex.
Scientific Awards:
- No awards listed in the provided text.
Advising and Grants:
Dr. Connor has advised numerous PhD students and postdoctoral fellows, many of whom have gone on to successful careers in neuroscience, technology, and medicine. His lab includes current graduate students, postdocs, and staff, indicating active funding and research. While specific grants are not mentioned, the sustained productivity and lab size suggest significant external funding. He has trained researchers now at institutions including MIT, Google DeepMind, and Baylor College of Medicine.
Labs and Teams:
Dr. Connor leads a research laboratory at the Zanvyl Krieger Mind/Brain Institute at Johns Hopkins University. The lab investigates neural information processing in the ventral visual pathway using electrophysiological recordings, computational modeling, and behavioral paradigms. The team includes graduate students, postdoctoral fellows, and staff scientists working collaboratively on understanding how the brain builds representations of the visual world.
