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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…
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Keywords:
hybrid ground;
graphical tool;
ground truth;
spike sorting ... See more keywords
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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.…
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Keywords:
spike sorting;
non linear;
linear manifold;
feature extraction ... See more keywords
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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…
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Keywords:
large scale;
high density;
multielectrode arrays;
spike sorting ... See more keywords
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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…
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Keywords:
sorting chip;
spike sorting;
neural signal;
hippocampal prosthesis ... See more keywords
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1
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.…
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Keywords:
spike sorting;
frequency;
spike;
low frequency ... See more keywords
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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…
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Keywords:
feature;
spike sorting;
sorting based;
selection ... See more keywords
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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…
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Keywords:
spike sorting;
spike detection;
automatic spike;
mixture skew ... See more keywords
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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…
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Keywords:
feature space;
feature;
spike sorting;
spike overlap ... See more keywords
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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…
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Keywords:
stimulation artefact;
removal techniques;
spike;
techniques context ... See more keywords
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2
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,…
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Keywords:
sorting algorithms;
algorithms efficient;
spike;
efficient hardware ... See more keywords
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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…
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Keywords:
method;
curation;
aecuration;
neural events ... See more keywords