A Brief Look into Spike Sorting Methods
نویسندگان
چکیده
Received: 18 February 2012 First Revision: 19 April 2012 Accepted: 09 May 2012
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.
متن کاملطبقهبندی پتانسیل‌های عمل نرونی با استفاده از شبکه‌های عصبی شعاعی
Background: Studying the behavior of a society of neurons, extracting the communication mechanisms of brain with other tissues, finding treatment for some nervous system diseases and designing neuroprosthetic devices, require an algorithm to sort neuralspikes automatically. However, sorting neural spikes is a challenging task because of the low signal to noise ratio (SNR) of the spikes. The mai...
متن کاملA 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...
متن کاملSpike sorting with hidden Markov models.
The ability to detect and sort overlapping spike waveforms in extracellular recordings is key to studies of neural coding at high spatial and temporal resolution. Most spike-sorting algorithms are based on initial spike detection (e.g. by a voltage threshold) and subsequent waveform classification. Much effort has been devoted to the clustering step, despite the fact that conservative spike det...
متن کاملSpectral representation--analyzing single-unit activity in extracellularly recorded neuronal data without spike sorting.
One step in the conventional analysis of extracellularly recorded neuronal data is spike sorting, which separates electrical signal into action potentials from different neurons. Because spike sorting involves human judgment, it can be subjective and time intensive, particularly for large sets of neurons. Here we propose a simple, automated way to construct alternative representations of neuron...
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تاریخ انتشار 2012