Areas of Interest
I am interested in the neural underpinnings of memory and how they fail in aging and Alzheimer’s disease. I utilize in vivocalcium imaging and electrophysiology to track real-time neural dynamics and characterize how they evolve over the days to weeks following memory formation in rodents. I hope to leverage this approach to uncover how and when memory deficits emerge in aging and Alzheimer’s model rodents. I am passionate about expanding access to science and currently run a 12-week science course for incarcerated men and Macomb Correctional Facility taught by volunteer postdocs and graduate students from U-M.
Honors & Awards
- National Research Service Award, Individual Postdoctoral Fellowship Recipient (F32), NIH/NINDS (2020)
- Outstanding Graduate Student Instructor, UC Berkeley (2006)
Credentials
- Postdoctoral Research Fellow, Anesthesiology Department, Michigan Medicine (current)
- Ph.D. Neuroscience, Boston University (2019)
- M.S. Structural Engineering & Mechanics of Materials, University of California, Berkeley (2007)
- B.S. Civil & Environmental Engineering, University of California, Berkeley (2005)
Published Articles or Reviews
- Kinsky, N. R., Vöröslakos, M., Ruiz, J. R. L., de Jong, L. W., Slager, N., McKenzie, S., Yoon, E., & Diba, K. (2023). Simultaneous Electrophysiology and Optogenetic Perturbation of the Same Neurons in Chronically Implanted Animals using μLED Silicon Probes. STAR Protocols.
- Kinsky, N. R., Mau, W., Sullivan, D. W., Levy, S. J., Ruesch, E. A., & Hasselmo, M. E. (2020). Trajectory-modulated hippocampal neurons persist throughout memory-guided navigation. Nature Communications.
- Kinsky, N. R., Sullivan, D. W., Mau, W., Hasselmo, M. E., & Eichenbaum, H. B. (2018). Hippocampal Place Fields Maintain a Coherent and Flexible Map across Long Timescales. Current Biology.
- McKenzie, S., Frank, A. J., Kinsky, N. R., Porter, B., Rivière, P. D., & Eichenbaum, H. B. (2014). Hippocampal representation of related and opposing memories develop within distinct, hierarchically organized neural schemas. Neuron.