From end to end: Gaining, sorting, and employing high-density neural single unit recordings
The meaning behind neural single unit activity has constantly been a challenge, so it will
persist in the foreseeable future. As one of the most sourced strategies, detecting neural …
persist in the foreseeable future. As one of the most sourced strategies, detecting neural …
Non-linear dimensionality reduction on extracellular waveforms reveals cell type diversity in premotor cortex
EK Lee, H Balasubramanian, A Tsolias, SU Anakwe… - Elife, 2021 - elifesciences.org
Cortical circuits are thought to contain a large number of cell types that coordinate to
produce behavior. Current in vivo methods rely on clustering of specified features of …
produce behavior. Current in vivo methods rely on clustering of specified features of …
Heart rate variability analysis for the identification of the preictal interval in patients with drug-resistant epilepsy
Electrocardiogram (ECG) recordings, lasting hours before epileptic seizures, have been
studied in the search for evidence of the existence of a preictal interval that follows a normal …
studied in the search for evidence of the existence of a preictal interval that follows a normal …
Data transformation in the processing of neuronal signals: A powerful tool to illuminate informative contents
MA Shaeri, AM Sodagar - IEEE Reviews in Biomedical …, 2022 - ieeexplore.ieee.org
Neuroscientists seek efficient solutions for deciphering the sophisticated unknowns of the
brain. Effective development of complicated brain-related tools is the focal point of research …
brain. Effective development of complicated brain-related tools is the focal point of research …
Visual approaches for exploratory data analysis: A survey of the visual assessment of clustering tendency (vat) family of algorithms
Exploratory data analysis (EDA) using data clustering is extremely important for
understanding the basic characteristics of a novel data set before developing complex …
understanding the basic characteristics of a novel data set before developing complex …
[图书][B] Elementary Cluster Analysis: Four Basic Methods that (Usually) Work
JC Bezdek - 2022 - taylorfrancis.com
The availability of packaged clustering programs means that anyone with data can easily do
cluster analysis on it. But many users of this technology don't fully appreciate its many …
cluster analysis on it. But many users of this technology don't fully appreciate its many …
An effective assessment of cluster tendency through sampling based multi-viewpoints visual method
Social networks are the rich sources to people for sharing the knowledge on health-related
issues. Nowadays, Twitter is one of the great significant social platforms to the people for a …
issues. Nowadays, Twitter is one of the great significant social platforms to the people for a …
A unified optimization model of feature extraction and clustering for spike sorting
Spike sorting technologies support neuroscientists to access the neural activity with single-
neuron or single-action-potential resolutions. However, conventional spike sorting …
neuron or single-action-potential resolutions. However, conventional spike sorting …
Automatical Spike Sorting with Low-Rank and Sparse Representation
Spikesorting is crucial in studying neural individually and synergistically encoding and
decoding behaviors. However, existent spike sorting algorithms perform unsatisfactorily in …
decoding behaviors. However, existent spike sorting algorithms perform unsatisfactorily in …
Synthetic data-driven overlapped neural spikes sorting: decomposing hidden spikes from overlapping spikes
MK Kim, SP Kim, JW Sohn - Molecular Brain, 2024 - Springer
Sorting spikes from extracellular recordings, obtained by sensing neuronal activity around
an electrode tip, is essential for unravelling the complexities of neural coding and its …
an electrode tip, is essential for unravelling the complexities of neural coding and its …