Author Archives: maharbiz
I’ve been lax recently in updating our group site and more to come soon, but:
1) First data from Neural Dust effort now in JNM:
- Seo, D., Carmena, J. M., Rabaey, J. M., Maharbiz, M. M., & Alon, E. (2014). Model Validation of Untethered, Ultrasonic Neural Dust Motes for Cortical Recording. Journal of neuroscience methods.
2) Kayle, Travis and Josh’s 200 mg locust system:
Mann, Kaylee, Travis Massey, Sudip Guha, Joshua Paul van Kleef, and Michel Maharbiz. “A Wearable Wireless Platform for Visually Stimulating Small Flying Insects.” Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE (2014)
3) Hiro’s lab making insect legs do push ups:
- Cao, F., Zhang, C., Doan, T. T. V., Li, Y., Sangi, D. H., Koh, J. S., … & Sato, H. (2014). A Biological Micro Actuator: Graded and Closed-Loop Control of Insect Leg Motion by Electrical Stimulation of Muscles. PloS one, 9(8), e105389.
Some non-technical media; I post it because it presents a nice picture of why/how Jose Carmena and I worked with Wally Pfister on Transcendence (go see it!):
Nice job, Daniel!
Daniel J. Cohen, W. James Nelson & Michel M. Maharbiz
Nature Materials (2014) doi:10.1038/nmat3891
Many normal and pathological biological processes involve the migration of epithelial cell sheets. This arises from complex emergent behaviour resulting from the interplay between cellular signalling networks and the forces that physically couple the cells. Here, we demonstrate that collective migration of an epithelium can be interactively guided by applying electric fields that bias the underlying signalling networks. We show that complex, spatiotemporal cues are locally interpreted by the epithelium, resulting in rapid, coordinated responses such as a collective U-turn, divergent migration, and unchecked migration against an obstacle. We observed that the degree of external control depends on the size and shape of the cell population, and on the existence of physical coupling between cells. Together, our results offer design and engineering principles for the rational manipulation of the collective behaviour and material properties of a tissue.
Konlin is pursuing a Ph.D. in EECS at University of California, Berkeley with an emphasis in neuroengineering. He received his B.A. in Physics with a secondary in Computer Science from Harvard University in 2013. His undergraduate research focused on how simple organisms such as C. elegans and fruit flies integrate sensory stimuli into motor behavior.