Transition between spike patterns induced by spike sorting errors in multi-unit recordings
نویسندگان
چکیده
منابع مشابه
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.
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We are exploring new methods of spike detection to improve spike-sorting in tetrode recordings. Based on our observation that the four channels of the tetrode carry highly correlated signals, we propose the use of a hyperellipsoidal thresholding surface in the 4-dimensional space of the signal values to detect spikes. This surface is determined by the cross-channel covariance matrix and provide...
متن کاملSpike 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...
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One of the outstanding problems in the sorting of neuronal spike trains is the resolution of overlapping spikes. Resolving these spikes can significantly improve a range of analyses, such as response variability, correlation, and latency. In this paper, we describe a partially automated method that is capable of resolving overlapping spikes. After constructing template waveforms for well-isolat...
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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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ژورنال
عنوان ژورنال: BMC Neuroscience
سال: 2009
ISSN: 1471-2202
DOI: 10.1186/1471-2202-10-s1-p329