Scholar
Nicholas M. Blauch
Google Scholar ID: mKI-uQ4AAAAJ
Postdoctoral Fellow, Harvard University
Citations & Impact
Citations
271
H-index
6
i10-index
6
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- During his Ph.D., he developed several models including those for face recognition and cortical organization for visual domains. Also conducted research on the influence of long-range connectivity on the global organization of human ventral temporal cortex, and modeling the spatial organization of language processing through topographic Transformer language models (topoLM).
Research Experience
- Currently a Postdoctoral Fellow at the Harvard Vision Sciences Lab, within the Psychology Department and Kempner Institute for Natural and Artificial Intelligence. Primarily advised by Talia Konkle, collaborating with George Alvarez and others. Current focus is on developing computational vision models that learn to see more like humans, particularly interested in foveation and its effects on high-level vision and the organization of high-level visual cortex.
Education
- Received a Ph.D in Neural Computation from Carnegie Mellon University in December 2023, advised by David C. Plaut and Marlene Behrmann. His Ph.D. work involved developing computational models of familiar and unfamiliar face recognition, cortical organization for visual domains, and empirical investigations into the hemispheric organization of high-level visual cortex.
Background
- Research interests include how brains enable organisms to learn from observing and interacting with the world, how their architectural constraints shape this learning and the structure of emergent neural representations, and how artificial intelligence can inform our understanding of biological intelligence, and vice versa.
Miscellany
- Aims to contribute to building efficient, sustainable AI systems; notes that the spatial embedding of neural computations may be a key factor in the brain's remarkable energy efficiency.
Co-authors