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Travis Massey, Ph.D. 2018

Advisor: Prof. Maharbiz
Job Interests: Industry/government R&D

Travis received his B.S. in Electrical Engineering and Computer Sciences from UC Berkeley in 2008 with an emphasis in integrated circuits. He is currently working on a microfabricated high density carbon fiber neural recording array under Professors Michel Maharbiz and Kris Pister.

Fabrication and Microassembly of a High-Density Carbon Fiber Neural Recording Array [BPN573]
We present a 32-channel carbon fiber monofilament-based intracortical neural recording array fabricated
through a combination of bulk silicon microfabrication processing and microassembly. This device represents the
first truly two-dimensional carbon fiber neural recording array. The five-micron diameter fibers are spaced at a
pitch of 38 microns, four times denser than the state of the art one-dimensional arrays. The fine diameter of the
carbon fiber microwires affords both minimal cross-section and nearly three orders of magnitude greater lateral
compliance than standard tungsten microwires. Both of these serve to minimize the adverse biological response
to implanted devices, particularly compared to conventional implantable microelectrodes. The electrode pitch, in
turn, has the potential to enable localization of individual units by detection at multiple adjacent sites, something
traditionally the domain of polytrodes. The density, channel count, and size scale of this array are enabled by a
microfabricated silicon substrate and a out-of-plane microassembly technique in which individual fibers are
inserted through metallized and isotropically conductive adhesive-filled holes in the oxide-passivated silicon
substrate. Insertion is eased and the fibers aligned to within five milliradians using an array of microfabricated
funnels. The device is insulated in parylene for biocompatibility and electrical isolation, and the recording sites
are electroplated with PEDOT:PSS to an impedance on the order of tens of kiloohms at 1 kHz. Further, this
fabrication technique is scalable to a larger number of electrodes and allows for the potential future integration of


     Last Updated: Tue 2018-Jun-05 18:13:17

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