MEA-NAP: A flexible network analysis pipeline for neuronal 2D and 3D organoid multielectrode recordings
Microelectrode array (MEA) recordings are commonly used to compare firing and burst rates
in neuronal cultures. MEA recordings can also reveal microscale functional connectivity …
in neuronal cultures. MEA recordings can also reveal microscale functional connectivity …
A semi-supervised approach to fault diagnosis for chemical processes
A new methodology for improving the performance of fault diagnosis systems (FDS) has
been proposed by combining both supervised and unsupervised learning methods. Within …
been proposed by combining both supervised and unsupervised learning methods. Within …
An automatic measure for classifying clusters of suspected spikes into single cells versus multiunits
A Tankus, Y Yeshurun, I Fried - Journal of neural engineering, 2009 - iopscience.iop.org
While automatic spike sorting has been investigated for decades, little attention has been
allotted to consistent evaluation criteria that will automatically determine whether a cluster of …
allotted to consistent evaluation criteria that will automatically determine whether a cluster of …
Novel use of matched filtering for synaptic event detection and extraction
Efficient and dependable methods for detection and measurement of synaptic events are
important for studies of synaptic physiology and neuronal circuit connectivity. As the …
important for studies of synaptic physiology and neuronal circuit connectivity. As the …
A multiscale correlation of wavelet coefficients approach to spike detection
C Yang, B Olson, J Si - Neural computation, 2011 - direct.mit.edu
Extracellular chronic recordings have been used as important evidence in neuroscientific
studies to unveil the fundamental neural network mechanisms in the brain. Spike detection …
studies to unveil the fundamental neural network mechanisms in the brain. Spike detection …
Optimizing the automatic selection of spike detection thresholds using a multiple of the noise level
Thresholding is an often-used method of spike detection for implantable neural signal
processors due to its computational simplicity. A means for automatically selecting the …
processors due to its computational simplicity. A means for automatically selecting the …
An efficient algorithm for current source localization with tetrodes
CW Lee, H Dang, Z Nenadic - 2007 29th Annual International …, 2007 - ieeexplore.ieee.org
In this article we develop a simple algorithm for localization of electrical sources in neurons.
The algorithm is based on multiple measurements of neuron's action potentials acquired …
The algorithm is based on multiple measurements of neuron's action potentials acquired …
[HTML][HTML] MEA-NAP compares microscale functional connectivity, topology, and network dynamics in organoid or monolayer neuronal cultures
Microelectrode array (MEA) recordings are commonly used to compare firing and burst rates
in neuronal cultures. MEA recordings can also reveal microscale functional connectivity …
in neuronal cultures. MEA recordings can also reveal microscale functional connectivity …
Robust spike classification based on frequency domain neural waveform features
C Yang, Y Yuan, J Si - Journal of neural engineering, 2013 - iopscience.iop.org
Objective. We introduce a new spike classification algorithm based on frequency domain
features of the spike snippets. The goal for the algorithm is to provide high classification …
features of the spike snippets. The goal for the algorithm is to provide high classification …
Mean Scatterer spacing estimation using Cepstrum-based continuous wavelet transform
The goal of this study was to develop an ultrasound (US) scatterer spacing estimation
method using an enhanced cepstral analysis based on continuous wavelet transforms …
method using an enhanced cepstral analysis based on continuous wavelet transforms …