Add to ORKGabstract: This study was designed to create a more user-friendly experience in utilizing the M-Sorter package for spike sorting and detection. This was achieved through the creation of a Graphical User Interface or GUI. The GUI was created for the spike detection portion of sorting. Through the creation of the M-Sorter detection GUI, now novice programmers can run the detector process. Additionally, the parameters are easily altered which will greatly decrease the time it takes to enter data and eliminate mistakes users may make in data entry
AbstractTo study the electrophysiological properties of neuronal networks, in vitro studies based on...
Spike sorting is a crucial step to extract information from extracellular recordings. With new recor...
This paper presents a spike feature extraction algorithm that targets real-time spike sorting and fa...
This software implements artificial STDP spiking neural networks with an attention mechanism, which ...
Brain-machine interfaces require real-time, wireless signal acquisition systems. However, wireless t...
Objective. Spike sorting is a set of techniques used to analyze extracellular neural recordings, att...
Spike sorting is a class of techniques used in the analysis of electrophysiological data. Studying t...
Spike sorting is a crucial step in electrophysiological studies of neuronal activity. While many spi...
"nBackground: Studying the behavior of a society of neurons, extracting the communication mecha...
Identification of neural spike activities has been a challenging task for a researcher which is a pr...
This paper presents a novel method for improving the performance of template matching in neural spik...
<p><b>A</b> Screenshot of the graphical user interface (GUI) used for channel selection. Raw and fil...
This dataset comprises simulated extracellular spiking neural signals, for which the activity of the...
Associate Editor Angelique Louie oversaw the review of this article. Abstract—This article describes...
A system for neural spike detection and classification is presented, which does not require a priori...
AbstractTo study the electrophysiological properties of neuronal networks, in vitro studies based on...
Spike sorting is a crucial step to extract information from extracellular recordings. With new recor...
This paper presents a spike feature extraction algorithm that targets real-time spike sorting and fa...
This software implements artificial STDP spiking neural networks with an attention mechanism, which ...
Brain-machine interfaces require real-time, wireless signal acquisition systems. However, wireless t...
Objective. Spike sorting is a set of techniques used to analyze extracellular neural recordings, att...
Spike sorting is a class of techniques used in the analysis of electrophysiological data. Studying t...
Spike sorting is a crucial step in electrophysiological studies of neuronal activity. While many spi...
"nBackground: Studying the behavior of a society of neurons, extracting the communication mecha...
Identification of neural spike activities has been a challenging task for a researcher which is a pr...
This paper presents a novel method for improving the performance of template matching in neural spik...
<p><b>A</b> Screenshot of the graphical user interface (GUI) used for channel selection. Raw and fil...
This dataset comprises simulated extracellular spiking neural signals, for which the activity of the...
Associate Editor Angelique Louie oversaw the review of this article. Abstract—This article describes...
A system for neural spike detection and classification is presented, which does not require a priori...
AbstractTo study the electrophysiological properties of neuronal networks, in vitro studies based on...
Spike sorting is a crucial step to extract information from extracellular recordings. With new recor...
This paper presents a spike feature extraction algorithm that targets real-time spike sorting and fa...