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 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 Optimizing Spike-Sorting Yield through Selection of Optimal Recording Sites in High-density Microelectrode Arrays

2016 ◽  
Vol 10 ◽  
Author(s):  
Mu�ller Jan ◽  
Franke Felix ◽  
Fiscella Michele ◽  
Frey Urs ◽  
Bakkum Douglas ◽  
...  
Keyword(s):  
Microelectrode Arrays ◽  
High Density ◽  
Spike Sorting ◽  
Selection Of

scholarly journals Extracellular detection of neuronal coupling

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Elmer Guzman ◽  
Zhuowei Cheng ◽  
Paul K. Hansma ◽  
Kenneth R. Tovar ◽  
Linda R. Petzold ◽  
...  
Keyword(s):  
Action Potentials ◽  
Microelectrode Arrays ◽  
Short Latency ◽  
Spike Sorting ◽  
Neuronal Connectivity ◽  
Direct Stimulation ◽  
Multiple Electrodes

AbstractWe developed a method to non-invasively detect synaptic relationships among neurons from in vitro networks. Our method uses microelectrode arrays on which neurons are cultured and from which propagation of extracellular action potentials (eAPs) in single axons are recorded at multiple electrodes. Detecting eAP propagation bypasses ambiguity introduced by spike sorting. Our methods identify short latency spiking relationships between neurons with properties expected of synaptically coupled neurons, namely they were recapitulated by direct stimulation and were sensitive to changing the number of active synaptic sites. Our methods enabled us to assemble a functional subset of neuronal connectivity in our cultures.

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 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
Sign in / Sign up

Export Citation Format

Share Document