SHYBRID: A Graphical Tool for Generating Hybrid Ground-Truth Spiking Data for Evaluating Spike Sorting Performance
Sign Up to like & getrecommendations! 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
Unsupervised Spike Sorting for Large-Scale, High-Density Multielectrode Arrays.
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
An automatic spike sorting algorithm based on adaptive spike detection and a mixture of skew-t distributions
Sign Up to like & getrecommendations! 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
A data-driven spike sorting feature map for resolving spike overlap in the feature space.
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
A Deep Neural Network-Based Spike Sorting With Improved Channel Selection and Artefact Removal
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3242643
Abstract: In order to implement highly efficient brain-machine interface (BMI) systems, high-channel count sensing is often used to record extracellular action potentials. However, the extracellular recordings are typically severely contaminated by artefacts and various noise sources,… read more here.
Keywords: spike; deep neural; spike sorting; channel selection ... See more keywords
A Real-Time Spike Sorting System Using Parallel OSort Clustering
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Biomedical Circuits and Systems"
DOI: 10.1109/tbcas.2019.2947618
Abstract: This article presents an efficient design and implementation of a real-time spike sorting system using unsupervised clustering. We utilize the online sorting (OSort) algorithm and model it first in both floating-point and fixed-point numerical representations… read more here.
Keywords: system; real time; sorting system; spike sorting ... See more keywords