Articles with "spike sorting" as a keyword



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SHYBRID: A Graphical Tool for Generating Hybrid Ground-Truth Spiking Data for Evaluating Spike Sorting Performance

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Published in 2020 at "Neuroinformatics"

DOI: 10.1007/s12021-020-09474-8

Abstract: Spike sorting is the process of retrieving the spike times of individual neurons that are present in an extracellular neural recording. Over the last decades, many spike sorting algorithms have been published. In an effort… read more here.

Keywords: hybrid ground; graphical tool; ground truth; spike sorting ... See more keywords

A Study of Non-Linear Manifold Feature Extraction in Spike Sorting

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Published in 2025 at "Neuroinformatics"

DOI: 10.1007/s12021-025-09744-3

Abstract: With recent developments in recording hardware, the processing of neuronal data must keep up with the increasing volumes and complexity by capturing the intrinsic relationships between instances of neuronal activity while remaining invariant to noise.… read more here.

Keywords: spike sorting; non linear; linear manifold; feature extraction ... See more keywords

Unsupervised Spike Sorting for Large-Scale, High-Density Multielectrode Arrays.

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Published in 2017 at "Cell reports"

DOI: 10.1016/j.celrep.2017.02.038

Abstract: We present a method for automated spike sorting for recordings with high-density, large-scale multielectrode arrays. Exploiting the dense sampling of single neurons by multiple electrodes, an efficient, low-dimensional representation of detected spikes consisting of estimated… read more here.

Keywords: large scale; high density; multielectrode arrays; spike sorting ... See more keywords

Unsupervised and real-time spike sorting chip for neural signal processing in hippocampal prosthesis

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Published in 2019 at "Journal of Neuroscience Methods"

DOI: 10.1016/j.jneumeth.2018.10.019

Abstract: BACKGROUND Damage to the hippocampus will result in the loss of ability to form new long-term memories and cognitive disorders. At present, there is no effective medical treatment for this issue. Hippocampal cognitive prosthesis is… read more here.

Keywords: sorting chip; spike sorting; neural signal; hippocampal prosthesis ... See more keywords

Using extracellular low frequency signals to improve the spike sorting of cerebellar complex spikes

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Published in 2019 at "Journal of Neuroscience Methods"

DOI: 10.1016/j.jneumeth.2019.108423

Abstract: BACKGROUND The challenge of spike sorting has been addressed by numerous electrophysiological studies. These methods tend to focus on the information conveyed by the high frequencies, but ignore the potentially informative signals at lower frequencies.… read more here.

Keywords: spike sorting; frequency; spike; low frequency ... See more keywords

A framework for on-implant spike sorting based on salient feature selection

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Published in 2020 at "Nature Communications"

DOI: 10.1038/s41467-020-17031-9

Abstract: On-implant spike sorting methods employ static feature extraction/selection techniques to minimize the hardware cost. Here we propose a novel framework for real-time spike sorting based on dynamic selection of features. We select salient features that… read more here.

Keywords: feature; spike sorting; sorting based; selection ... See more keywords
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An automatic spike sorting algorithm based on adaptive spike detection and a mixture of skew-t distributions

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Published in 2021 at "Scientific Reports"

DOI: 10.1038/s41598-021-93088-w

Abstract: Developing high-density electrodes for recording large ensembles of neurons provides a unique opportunity for understanding the mechanism of the neuronal circuits. Nevertheless, the change of brain tissue around chronically implanted neural electrodes usually causes spike… read more here.

Keywords: spike sorting; spike detection; automatic spike; mixture skew ... See more keywords
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A data-driven spike sorting feature map for resolving spike overlap in the feature space.

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Published in 2021 at "Journal of neural engineering"

DOI: 10.1088/1741-2552/ac0f4a

Abstract: OBJECTIVE Spike sorting is the process of extracting neuronal action potentials, or spikes, from an extracellular brain recording, and assigning each spike to its putative source neuron. Spike sorting is usually treated as a clustering… read more here.

Keywords: feature space; feature; spike sorting; spike overlap ... See more keywords

Objective evaluation of stimulation artefact removal techniques in the context of neural spike sorting

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Published in 2022 at "Journal of Neural Engineering"

DOI: 10.1088/1741-2552/ac4ecf

Abstract: Objective. We present a framework to objectively test and compare stimulation artefact removal techniques in the context of neural spike sorting. Approach. To this end, we used realistic hybrid ground-truth spiking data, with superimposed artefacts… read more here.

Keywords: stimulation artefact; removal techniques; spike; techniques context ... See more keywords

Spike sorting algorithms and their efficient hardware implementation: a comprehensive survey

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Published in 2023 at "Journal of Neural Engineering"

DOI: 10.1088/1741-2552/acc7cc

Abstract: Objective. Spike sorting is a set of techniques used to analyze extracellular neural recordings, attributing individual spikes to individual neurons. This field has gained significant interest in neuroscience due to advances in implantable microelectrode arrays,… read more here.

Keywords: sorting algorithms; algorithms efficient; spike; efficient hardware ... See more keywords

AECuration: automated event curation for spike sorting

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Published in 2025 at "Journal of Neural Engineering"

DOI: 10.1088/1741-2552/adaa1c

Abstract: Objective. This paper discusses a novel method for automating the curation of neural spike events detected from neural recordings using spike sorting methods. Spike sorting seeks to identify isolated neural events from extracellular recordings. This… read more here.

Keywords: method; curation; aecuration; neural events ... See more keywords