Title
Evaluation of spike sorting and compression for digitally reconfigurable non-uniform quantization
Abstract
A non-uniform quantization approach for neural signals is presented and evaluated in this paper. Depending on the local properties of the signal, the number of bits is varied dynamically: a high number of bits is used for the detected Action Potentials (APs) or Spikes, otherwise a lower number of bits is used. Therefore a simple threshold detector enables the window for high precision mode. The algorithm is tested on simulated and recorded data sets. As opposed to standard thresholding methods, it is shown that keeping information of the background activity permits to achieve better signal reconstruction during spike sorting. At the same time a non-uniform quantization allows significant compression rates, decreasing the power consumption for transmission. A digital implementation is proposed, offering area reduction and more flexibility as opposed to analog thresholding implementations. The technique is also compared to delta compression and found to achieve better results on noisy recorded data.
Year
DOI
Venue
2017
10.1109/NEWCAS.2017.8010134
2017 15th IEEE International New Circuits and Systems Conference (NEWCAS)
Keywords
Field
DocType
spike sorting,non-uniform quantization approach,signal reconstruction,standard thresholding methods,compression rates
Noise measurement,Spike sorting,Computer science,Sorting,Electronic engineering,Vector quantization,Thresholding,Quantization (signal processing),Signal reconstruction,Delta encoding
Conference
ISSN
ISBN
Citations 
2472-467X
978-1-5090-4992-9
0
PageRank 
References 
Authors
0.34
5
3
Name
Order
Citations
PageRank
Matteo Pagin100.68
Joachim Becker28818.25
Maurits Ortmanns3501114.46