28.6 A ±50mV linear-input-range VCO-based neural-recording front-end with digital nonlinearity correction

Author(s):  
Wenlong Jiang ◽  
Vahagn Hokhikyan ◽  
Hariprasad Chandrakumar ◽  
Vaibhav Karkare ◽  
Dejan Markovic
2017 ◽  
Vol 52 (1) ◽  
pp. 173-184 ◽  
Author(s):  
Wenlong Jiang ◽  
Vahagn Hokhikyan ◽  
Hariprasad Chandrakumar ◽  
Vaibhav Karkare ◽  
Dejan Markovic

2016 ◽  
Vol 16 (2) ◽  
pp. 475-484 ◽  
Author(s):  
Seung Bae Lee ◽  
Byunghun Lee ◽  
Mehdi Kiani ◽  
Babak Mahmoudi ◽  
Robert Gross ◽  
...  

2010 ◽  
Vol 22 (03) ◽  
pp. 249-254
Author(s):  
Mohammad Hossein Zarifi ◽  
Javad Frounchi ◽  
Mohammad Ali Tinati ◽  
Jack W. Judy

There have been significant advances in fabrication of high-density microelectrode arrays using silicon micromachining technology in neural signal recording systems. The interface between microelectrodes and chemical environment is of great interest to researchers, working on extracellular stimulation. This interface is quite complex and must be modeled carefully to match experimental results. Computer simulation is a method to increase the knowledge about these arrays and to this end the finite element method (FEM) provides a strong environment for investigation of relative changes of the electrical field extension surrounding an electrode positioned in chemical environment. In this paper FEM simulation environment is used for modeling the metal–chemical interface, which provides helpful information about noise, impedance, and bandwidth for circuit designers to design the front-end electronics of these systems, more efficiently and reliable.


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