Parylene-coated metal tracks for neural electrode arrays - Fabrication approaches and improvements utilizing different laser systems

2012 ◽  
Author(s):  
F. Kohler ◽  
M. Schuettler ◽  
T. Stieglitz
Keyword(s):  
Electrode Arrays ◽  
Neural Electrode ◽  
Coated Metal ◽  
Laser Systems

Flexible Neural Electrode Arrays With Switch-Matrix Based on a Planar Silicon Process

2014 ◽  
Vol 35 (2) ◽  
pp. 253-255 ◽  
Author(s):  
Akifumi Fujishiro ◽  
Sou Takahashi ◽  
Kazuaki Sawada ◽  
Makoto Ishida ◽  
Takeshi Kawano
Keyword(s):  
Electrode Arrays ◽  
Neural Electrode ◽  
Planar Silicon

Stretchable tracks for laser-machined neural electrode arrays

2009 ◽  
Author(s):  
M. Schuettler ◽  
D. Pfau ◽  
J.S. Ordonez ◽  
C. Henle ◽  
P. Woias ◽  
...  
Keyword(s):  
Electrode Arrays ◽  
Neural Electrode

scholarly journals Parallel, minimally-invasive implantation of ultra-flexible neural electrode arrays

2019 ◽  
Vol 16 (3) ◽  
pp. 035001 ◽  
Author(s):  
Zhengtuo Zhao ◽  
Xue Li ◽  
Fei He ◽  
Xiaoling Wei ◽  
Shengqing Lin ◽  
...  
Keyword(s):  
Minimally Invasive ◽  
Electrode Arrays ◽  
Neural Electrode

Penetrating glassy carbon neural electrode arrays for brain-machine interfaces

2020 ◽  
Vol 22 (3) ◽  
Author(s):  
Biao Chen ◽  
Boshen Zhang ◽  
Chaoyang Chen ◽  
Jie Hu ◽  
Jin Qi ◽  
...  
Keyword(s):  
Glassy Carbon ◽  
Electrode Arrays ◽  
Brain Machine Interfaces ◽  
Neural Electrode

Fabrication and Characterization of Flexible, Microfabricated Neural Electrode Arrays Made from Liquid Crystal Polymer and Polynorbornene

2006 ◽  
Vol 926 ◽  
Author(s):  
Varun Vardhan Keesara ◽  
Dominique M. Durand ◽  
Christian A. Zorman
Keyword(s):  
Liquid Crystal ◽  
Liquid Crystal Polymer ◽  
Base Layer ◽  
Electrode Arrays ◽  
Neural Electrode ◽  
Crystal Polymer ◽  
Trade Name ◽  
Electrical Loads ◽  
Interconnect Lines

ABSTRACTThis paper reports the development of flexible, neural electrode arrays made from liquid crystal polymer (LCP) and a polynorbornene (PNB) known by its trade name AvatrelTM. Each array consists of a single flexible, polymeric structure composed of an 8 mm-wide pad supporting eight Pt contacts connected to an ASIC mounting pad by a 5 cm-long, 2 mm-wide shaft carrying eight, 50 μm-wide Pt interconnect lines. The Pt conductors sit atop a 50 μm-thick base layer and are isolated from the environment except at the contacts by a capping layer of the same material as the base. In both cases, the devices were fabricated using conventional microfabrication techniques adapted for the particular polymeric material. In the case of LCP, the base structure was fabricated on 50 μm-thick sheets that were laminated and etched into the final structure. In contrast to LCP, PNB is spin castable and photodefinable, which enabled conventional photolithographic patterning techniques to be employed in a straightforward manner. The PNB-based devices could readily be fabricated, however issues related to LCP etching necessitated the development of a multi-step etch process to form the vias that expose the contacts. Electrodes made from both polymers could support electrical loads typical of stimulation applications without failing. A simple cell culture test suggests that Avatrel™ may be biocompatible, at least for short term applications.

scholarly journals Spike sorting for large, dense electrode arrays

2015 ◽  
Author(s):  
Cyrille Rossant ◽  
Shabnam N Kadir ◽  
Dan F. M. Goodman ◽  
John Schulman ◽  
Mariano Belluscio ◽  
...  
Keyword(s):  
Open Source Software ◽  
Simultaneous Recording ◽  
Error Rates ◽  
Spike Sorting ◽  
Electrode Arrays ◽  
Rat Cortex ◽  
Neural Electrode ◽  
Large Numbers ◽  
Microfabrication Technology ◽  
User Friendly

Developments in microfabrication technology have enabled the production of neural electrode arrays with hundreds of closely-spaced recording sites, and electrodes with thousands of sites are currently under development. These probes will in principle allow the simultaneous recording of very large numbers of neurons. However, use of this technology requires the development of techniques for decoding the spike times of the recorded neurons, from the raw data captured from the probes. There currently exists no practical solution to this problem of “spike sorting” for large, dense electrode arrays. Here, we present a set of novel tools to solve this problem, implemented in a suite of practical, user-friendly, open-source software. We validate these methods on data from rat cortex, demonstrating error rates as low as 5%.

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