Wavelets behind the scenes: Practical aspects, insights, and perspectives
RC Guido - Physics Reports, 2022 - Elsevier
Over the years, wavelet-based analyses have been responsible for remarkable
achievements in physics and related sciences. Nevertheless, a deep inspection on wavelet …
achievements in physics and related sciences. Nevertheless, a deep inspection on wavelet …
An investigation on neural spike sorting algorithms
HA Hussein, SRM Zeebaree… - … on Communication & …, 2021 - ieeexplore.ieee.org
Spike sorting is a technique used to detect signals generated by the neurons of the brain
and to classify which spike belongs to which neurons. Spike sorting is one of the most …
and to classify which spike belongs to which neurons. Spike sorting is one of the most …
WMsorting: wavelet packets' decomposition and mutual information-based spike sorting method
In recent years, the signal processing opportunities with the multi-channel recording and the
high precision detection provided by the development of new extracellular multi-electrodes …
high precision detection provided by the development of new extracellular multi-electrodes …
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 …
Spike sorting based on low-rank and sparse representation
As the first step to study the coding mechanism and synergistic behaviour of neurons, spike
sorting plays an important role in the neurosciences research community. Despite many …
sorting plays an important role in the neurosciences research community. Despite many …
[引用][C] Improving the Accuracy of Neurons Spike Sorting by Using Supervised Machine Learning
HA Hussein, AK Mohammed - Academic Journal of Nawroz University, 2024