A Wideband Wireless Neural Stimulation Platform for High-Density Microelectrode Arrays

2006 ◽  
Author(s):  
Frank B. Myers ◽  
Jim A. Simpson ◽  
Maysam Ghovanloo
Keyword(s):  
Microelectrode Arrays ◽  
Neural Stimulation ◽  
High Density

Why ‘the bigger the better’ is not always the case when utilising microelectrode arrays: high density vs. low density arrays for the electroanalytical sensing of chromium(vi)

The Analyst ◽  
2009 ◽  
Vol 134 (11) ◽  
pp. 2301 ◽  
Author(s):  
Sebastian J. Hood ◽  
Dimitrios. K. Kampouris ◽  
Rashid O. Kadara ◽  
Norman Jenkinson ◽  
F. Javier del Campo ◽  
...  
Keyword(s):  
Microelectrode Arrays ◽  
High Density ◽  
Low Density ◽  
Chromium Vi

scholarly journals Hybrid Chemomechanical Promotion of PEDOT Adhesion onto Flexible Microelectrode Arrays for Chronic Neural Stimulation

2020 ◽  
Author(s):  
Mohammad Hossein Mazaheri Kouhani ◽  
Alexander Istomin ◽  
Proyag Datta ◽  
Neil H. Talbot
Keyword(s):  
Diazonium Salt ◽  
Covalent Binding ◽  
Microelectrode Arrays ◽  
Electrochemical Treatment ◽  
Neural Stimulation ◽  
Adhesion Promoter ◽  
Neural Prosthetic ◽  
Long Term Stability ◽  
Mechanical Adhesion

Advances in neural prosthetic technologies demand ever increasing novelty in material composition to enhance the mechanical and electrochemical properties of existing microelectrode arrays. Conductive polymers present advantages such as mechanical flexibility, outstanding biocompatibility, remarkable electrical properties and, most of all, cellular agreement. However, for long-term chronic applications, they fall short in their electrochemical endurance and mechanical adhesion to their substrate materials. Multiple electrochemical approaches have been investigated to improve the adherence of Poly(3,4-ethylenedioxythiophene) (PEDOT) to underlying metallic thin films. In this work, an electrochemical treatment of diazonium salt on platinum microelectrodes is incorporated as an electrochemical adhesion promoter for PEDOT and it is further combined with using the highly microporous geometry of Platinum Grey (Pt-Grey); a technology developed by Second Sight Medical Products Inc (SSMP). The intertwined mechanical integration of Pt-Grey and PEDOT molecules together with the covalent binding agency of diazonium salt demostrate a composite coating technology with long-term stability of more than 452 days while providing >70× enhancement to the interfacial capacitive impedance.

scholarly journals Automatic spike sorting for high-density microelectrode arrays

2018 ◽  
Vol 120 (6) ◽  
pp. 3155-3171 ◽  
Author(s):  
Roland Diggelmann ◽  
Michele Fiscella ◽  
Andreas Hierlemann ◽  
Felix Franke
Keyword(s):  
Principal Component Analysis ◽  
Clustering Algorithm ◽  
State Of The Art ◽  
Microelectrode Arrays ◽  
Principal Component ◽  
Component Analysis ◽  
High Density ◽  
Sorting Algorithm ◽  
Spike Sorting ◽  
Recording Electrodes

High-density microelectrode arrays can be used to record extracellular action potentials from hundreds to thousands of neurons simultaneously. Efficient spike sorters must be developed to cope with such large data volumes. Most existing spike sorting methods for single electrodes or small multielectrodes, however, suffer from the “curse of dimensionality” and cannot be directly applied to recordings with hundreds of electrodes. This holds particularly true for the standard reference spike sorting algorithm, principal component analysis-based feature extraction, followed by k-means or expectation maximization clustering, against which most spike sorters are evaluated. We present a spike sorting algorithm that circumvents the dimensionality problem by sorting local groups of electrodes independently with classical spike sorting approaches. It is scalable to any number of recording electrodes and well suited for parallel computing. The combination of data prewhitening before the principal component analysis-based extraction and a parameter-free clustering algorithm obviated the need for parameter adjustments. We evaluated its performance using surrogate data in which we systematically varied spike amplitudes and spike rates and that were generated by inserting template spikes into the voltage traces of real recordings. In a direct comparison, our algorithm could compete with existing state-of-the-art spike sorters in terms of sensitivity and precision, while parameter adjustment or manual cluster curation was not required. NEW & NOTEWORTHY We present an automatic spike sorting algorithm that combines three strategies to scale classical spike sorting techniques for high-density microelectrode arrays: 1) splitting the recording electrodes into small groups and sorting them independently; 2) clustering a subset of spikes and classifying the rest to limit computation time; and 3) prewhitening the spike waveforms to enable the use of parameter-free clustering. Finally, we combined these strategies into an automatic spike sorter that is competitive with state-of-the-art spike sorters.

scholarly journals ZyON: Enabling Spike Sorting on APSoC-Based Signal Processors for High-Density Microelectrode Arrays

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 218145-218160
Author(s):  
Gianluca Leone ◽  
Luigi Raffo ◽  
Paolo Meloni
Keyword(s):  
Microelectrode Arrays ◽  
High Density ◽  
Spike Sorting ◽  
Signal Processors

scholarly journals Single-Cell Electrical Stimulation Using CMOS-Based High-Density Microelectrode Arrays

2019 ◽  
Vol 13 ◽  
Author(s):  
Silvia Ronchi ◽  
Michele Fiscella ◽  
Camilla Marchetti ◽  
Vijay Viswam ◽  
Jan Müller ◽  
...  
Keyword(s):  
Electrical Stimulation ◽  
Single Cell ◽  
Microelectrode Arrays ◽  
High Density

Performance of ultra-high-density microelectrode arrays

2007 ◽  
Vol 576 (1) ◽  
pp. 215-219 ◽  
Author(s):  
D.E. Gunning ◽  
E.J. Chichilnisky ◽  
A.M. Litke ◽  
V. O’Shea ◽  
K.M. Smith ◽  
...  
Keyword(s):  
Microelectrode Arrays ◽  
High Density
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