A Brief Look into Spike Sorting Methods
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Abstract:
Spike sorting is a class of techniques used in the analysis of electrophysiological data. Studying the dynamics of neural activity via electrical recording relies on the ability to detect and sort neural spikes recorded from a number of neurons by the same electrode. This article reviews methods for detecting and classifying action potentials, a problem commonly referred to as spike sorting.
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a brief look into spike sorting methods
spike sorting is a class of techniques used in the analysis of electrophysiological data. studying the dynamics of neural activity via electrical recording relies on the ability to detect and sort neural spikes recorded from a number of neurons by the same electrode. this article reviews methods for detecting and classifying action potentials, a problem commonly referred to as spike sorting.
full textSpike sorting
Figure 1. Extracellular recordings and spike sorting. (A) The extracellular activity of neurons is recorded with microwires inserted in the brain. The spikes of neurons close-by the electrode tip (in red and blue) can be separated via spike sorting; neurons further away (in dark grey) can be detected but not sorted, thus generating the multiunit activity; more distant neurons (in light gray) co...
full textA Potential Spike Sorting Algorithm
This is a short summary of the work I did for 6 weeks as a summer intern with Conor Houghton. The topic of the internship was spike sorting, in particular to test an algorithm suggested by Dr.Houghton. I’ll first briefly describe spike sorting, at least my understanding of it. A few small biological details (which I’m sure are a simplification) a neuron fires ‘spikes’ of voltages; different typ...
full textRecent progress in multi-electrode spike sorting methods.
In recent years, arrays of extracellular electrodes have been developed and manufactured to record simultaneously from hundreds of electrodes packed with a high density. These recordings should allow neuroscientists to reconstruct the individual activity of the neurons spiking in the vicinity of these electrodes, with the help of signal processing algorithms. Algorithms need to solve a source s...
full textSpike Train Decoding Without Spike Sorting
We propose a novel paradigm for spike train decoding, which avoids entirely spike sorting based on waveform measurements. This paradigm directly uses the spike train collected at recording electrodes from thresholding the bandpassed voltage signal. Our approach is a paradigm, not an algorithm, since it can be used with any of the current decoding algorithms, such as population vector or likelih...
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Journal title
volume 3 issue 3
pages 67- 71
publication date 2012-07
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