Journal ArticleDOI
Robust, automatic spike sorting using mixtures of multivariate t-distributions.
TLDR
An adaptation of a new expectation-maximization based competitive mixture decomposition algorithm is introduced and it is shown that it efficiently and reliably performs mixture decompositions of t-distributions.About:
This article is published in Journal of Neuroscience Methods.The article was published on 2003-08-15. It has received 360 citations till now. The article focuses on the topics: Mixture model & Gaussian process.read more
Citations
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Journal ArticleDOI
Large-scale recording of neuronal ensembles
TL;DR: Large-scale recordings from neuronal ensembles now offer the opportunity to test competing theoretical frameworks and require further development of the neuron–electrode interface, automated and efficient spike-sorting algorithms for effective isolation and identification of single neurons, and new mathematical insights for the analysis of network properties.
Journal ArticleDOI
Quantitative measures of cluster quality for use in extracellular recordings
TL;DR: In data sets from the rodent hippocampus in which neurons were simultaneously recorded intracellularly and extracellularly, values of Isolation Distance and Lratio were related to the correct identification of spikes.
Journal ArticleDOI
Spatial and Temporal Scales of Neuronal Correlation in Primary Visual Cortex
Matthew A. Smith,Adam Kohn +1 more
TL;DR: The spatial extent and functional specificity of correlated spontaneous and evoked activity and the circuit mechanism they imply provide new constraints on the functional role that correlation may play in visual processing are investigated.
Journal ArticleDOI
Quality metrics to accompany spike sorting of extracellular signals.
TL;DR: Studies of neuronal activity throughout the brain predominantly rely on extracellular recordings of spiking activity, but these records often contain action potentials from more than one neuron, so it is imperative to discriminate the spikes that originate from separate neurons.
Journal ArticleDOI
Past, present and future of spike sorting techniques
TL;DR: This work reviews the basic concepts of spike sorting, including the requirements for different applications, together with the problems faced by presently available algorithms, and proposes a roadmap stressing the crucial points to be addressed to support the neuroscientific research of the near future.
References
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Journal ArticleDOI
Maximum likelihood from incomplete data via the EM algorithm
Book
Finite Mixture Models
Geoffrey J. McLachlan,David Peel +1 more
TL;DR: The important role of finite mixture models in the statistical analysis of data is underscored by the ever-increasing rate at which articles on mixture applications appear in the mathematical and statistical literature.
Book
Continuous univariate distributions
TL;DR: Continuous Distributions (General) Normal Distributions Lognormal Distributions Inverse Gaussian (Wald) Distributions Cauchy Distribution Gamma Distributions Chi-Square Distributions Including Chi and Rayleigh Exponential Distributions Pareto Distributions Weibull Distributions Abbreviations Indexes
Journal ArticleDOI
Statistical pattern recognition: a review
TL;DR: The objective of this review paper is to summarize and compare some of the well-known methods used in various stages of a pattern recognition system and identify research topics and applications which are at the forefront of this exciting and challenging field.
Journal ArticleDOI
Statistical Pattern Recognition
TL;DR: In this paper, the primary goal of pattern recognition is supervised or unsupervised classification, and the various frameworks in which pattern recognition has been traditionally formulated, the statistical approach has been used.