Towards reliable spike-train recordings from thousands of neurons with multielectrodes
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TLDR
Some of the challenges that must be met to achieve the critical need of realistic model data to be used as ground truth in the validation of spike-sorting algorithms are described.About:
This article is published in Current Opinion in Neurobiology.The article was published on 2012-02-01 and is currently open access. It has received 208 citations till now. The article focuses on the topics: Spike train & Spike sorting.read more
Citations
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Journal ArticleDOI
Modelling and analysis of local field potentials for studying the function of cortical circuits
TL;DR: Careful mathematical modelling and analysis are needed to take full advantage of the opportunities that this signal offers in understanding signal processing in cortical circuits and, ultimately, the neural basis of perception and cognition.
Journal ArticleDOI
Spike sorting for large, dense electrode arrays
Cyrille Rossant,Cyrille Rossant,Shabnam Kadir,Shabnam Kadir,Dan F. M. Goodman,John Schulman,Maximilian L. D. Hunter,Maximilian L. D. Hunter,Aman B. Saleem,Andres Grosmark,Mariano Belluscio,George H. Denfield,Alexander S. Ecker,Andreas S. Tolias,Samuel G. Solomon,György Buzsáki,Matteo Carandini,Kenneth D. Harris,Kenneth D. Harris +18 more
TL;DR: A set of tools to solve the problem of decoding the spike times of the recorded neurons from the raw data captured from the probes, implemented in a suite of practical, user-friendly, open-source software is presented.
Journal ArticleDOI
Revealing neuronal function through microelectrode array recordings
Marie Engelene J. Obien,Kosmas Deligkaris,Kosmas Deligkaris,Torsten Bullmann,Douglas J. Bakkum,Urs Frey,Urs Frey,Urs Frey +7 more
TL;DR: The ongoing advancements in microelectrode technology are introduced, with focus on achieving higher resolution and quality of recordings by means of monolithic integration with on-chip circuitry.
Posted ContentDOI
Kilosort: realtime spike-sorting for extracellular electrophysiology with hundreds of channels
TL;DR: Kilosort models the recorded voltage as a sum of template waveforms triggered on the spike times, allowing overlapping spikes to be identified and resolved and is an important step towards fully automated spike sorting of multichannel electrode recordings.
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
Phase relationship between hippocampal place units and the EEG theta rhythm
John O'Keefe,Michael Recce +1 more
TL;DR: The phase was highly correlated with spatial location and less well correlated with temporal aspects of behavior, such as the time after place field entry, and the characteristics of the phase shift constrain the models that define the construction of place fields.
Journal ArticleDOI
Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering
TL;DR: A new method for detecting and sorting spikes from multiunit recordings that combines the wave let transform with super paramagnetic clustering, which allows automatic classification of the data without assumptions such as low variance or gaussian distributions is introduced.
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
A review of methods for spike sorting: the detection and classification of neural action potentials.
TL;DR: This article reviews algorithms and methods for detecting and classifying action potentials, a problem commonly referred to as spike sorting and discusses the advantages and limitations of each and the applicability of these methods for different types of experimental demands.
Journal ArticleDOI
Accuracy of Tetrode Spike Separation as Determined by Simultaneous Intracellular and Extracellular Measurements
TL;DR: It is hypothesized that automatic spike-sorting algorithms have the potential to significantly lower error rates, and implementation of a semi-automatic classification system confirms this suggestion, reducing errors close to the estimated optimum, in the range 0-8%.
Related Papers (5)
Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering
A review of methods for spike sorting: the detection and classification of neural action potentials.
Spike sorting for large, dense electrode arrays
Cyrille Rossant,Cyrille Rossant,Shabnam Kadir,Shabnam Kadir,Dan F. M. Goodman,John Schulman,Maximilian L. D. Hunter,Maximilian L. D. Hunter,Aman B. Saleem,Andres Grosmark,Mariano Belluscio,George H. Denfield,Alexander S. Ecker,Andreas S. Tolias,Samuel G. Solomon,György Buzsáki,Matteo Carandini,Kenneth D. Harris,Kenneth D. Harris +18 more