Our lab is currently working on integrated circuits, sensors, and neural interfaces to capture brain activity with high spatiotemporal resolution, with particular focus on designing high-speed image sensors and optical systems to directly read out neural signals, such as calcium and voltage dynamics.
In parallel, we apply these tools to experiments to capture and study millisecond-scale coding in neural circuits. By probing the mechanisms underlying learning and memory consolidation, we aim to uncover how the brain transforms experiences into lasting memories.
Current focus areas
Image sensors and cameras
We develop custom image sensor chips and camera systems for high-speed imaging, with a focus on fluorescence imaging to resolve neural dynamics on the millisecond timescale.
Zhang, J., Newman, J., Wang, Z., et. al. Nature Communications, 2024.
Wang, C.*, Zhang, J.*, Wilson, M. A., & Etienne-Cummings, R. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.
Wang, Z.*, Zhang, J.*, Symvoulidis, P., et. al, bioRxiv, 2024. in revision at Nature Methods.
Neural mechanism of spatial learning
We conduct behavioral experiments to investigate cell-type–specific neural mechanisms underlying spatial learning and memory consolidation, as well as the role of sleep in these processes. To support these studies, we also build miniature, high-bandwidth, systems to interface across large neuronal populations during behavior.
Guo, W., Zhang, J., Newman, J. P., & Wilson, M. A. Cell reports, 2024
Newman, J. P.*, Zhang, J.*, Cuevas-López, A.*, et. al. Nature Methods, 2025
Scherrer, J. R.*, Lynch, G. F.*, Zhang, J., & Fee, M. S. Nature Methods, 2023
