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Showing 25 open source projects for "spike"
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WorkforceHub is the instantly useful, delightfully simple to use, small business solution for tracking time, scheduling and hiring. It scales as your business grows while delivering the mission-critical features an organization needs. It is tailored to, built for, and priced for small business employers.
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coroot
Open-source observability for microservices
... require access to your cloud account or any other configurations. Analyze any unexpected spike in CPU or memory usage down to the precise line of code. Don't make assumptions, know exactly what the resources were spent on. Easily investigate any anomaly by comparing it to the system's baseline behavior. -
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ML.NET
Open source and cross-platform machine learning framework for .NET
With ML.NET, you can create custom ML models using C# or F# without having to leave the .NET ecosystem. ML.NET lets you re-use all the knowledge, skills, code, and libraries you already have as a .NET developer so that you can easily integrate machine learning into your web, mobile, desktop, games, and IoT apps. ML.NET offers Model Builder (a simple UI tool) and ML.NET CLI to make it super easy to build custom ML Models. These tools use Automated ML (AutoML), a cutting edge technology that... -
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This project relates to research work at Imperial College conducted by members of the SPIKE (Structured and Probabilistic Intelligent Knowledge Engineering), including in particular logic-based learning systems such as TAL, ASPAL and ILASP.
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SPIKE dataset
Images and models for detection of wheat spikes in the field
The SPIKE dataset contains images with manually annotated ground truth labels for training and testing convolutional neural networks for spike detection of wheat in the field. The model files available here are to be used with the Faster R-CNN implementation of the freely available Microsoft Cognitive Toolkit, found at the following link https://www.microsoft.com/en-us/cognitive-toolkit/ Futhermore, an additional software tool will soon be available for using the models with an executable... -
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TONIC
Analysis of neural spiking data generated by multi-electrode arrays
A neuroscience data analysis package for handling extracellular potentials recorded by multi-electrode arrays, including signal processing, event detection, feature extraction, and spike sorting. -
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Spike-pentesting
Sabayon. Pentesting edition.
Spike is a pentesting distribution based on Sabayon Linux. -
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Convolution-Based Metric S4 Code
Demonstrations of a convolution-based metric for neural trace data.
To compare the performance of a convolution-based metric, to that of the van Rossum metric and the Victor-Purpura metric, we will evaluate all three metrics on computer-generated neural data of multiple kinds. One of the data arguments will be a systematically altered version of the other; we will simultaneously plot the metrics versus an ``offset'' parameter that controls how much alteration occurs. The data include Poisson spike trains and simulated Hodgkin-Huxley neuron data (standard model... -
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Convolution-Based Metric S4 Code
Demonstrations of a convolution-based metric for neural trace data.
To compare the performance of a convolution-based metric, to that of the van Rossum metric and the Victor-Purpura metric, we will evaluate all three metrics on computer-generated neural data of multiple kinds. One of the data arguments will be a systematically altered version of the other; we will simultaneously plot the metrics versus an "offset" parameter that controls how much alteration occurs. The data include Poisson spike trains and simulated Hodgkin-Huxley neuron data (standard model... -
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GENESIS (GEneral NEural SImulation System) is a software platform for the simulation of neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, large networks, and systems-level processes.
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WaveSorter
A powerful, versatile tool for offilne spike analysis and sorting
WaveSorter emphasizes dynamic visualization and versatility. Slider controls let the user select any coefficient or sample from any of several transforms, which can then be plotted to either axis of a 2D histogram (scatterplot). Within the waveform space, cursor-based controls let the user select subregions of the waveform space or individual waveforms to view. The user may cluster waveforms manually or via one of several popular clustering programs. The classification along with waveform... -
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EToS (Efficient Technology of Spike sorting; Extracellular recording To Spike trains) is an open-source system for spike sorting. EToS contains the programs of spike detection, feature extraction and clustering.
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KlustaKwik is an open-source C++ and Java program for automatic clustering of continuous data into a mixture of Gaussians. The program was originally developed for sorting of neuronal action potentials, but can be applied to any sort of data. NOTE (25/04/12): For those interested in trying the new masked version of KlustaKwik designed for large dense electrode array, download KlustaKwik3.0.1 in the maskedKlustaKwik folder. UPDATE (04/07/12): Bugs have been fixed in the new masked version...
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NEural SOrter
a tool for offline electrophysiological recording analysis
NESO is a work in progress whose developer is adding features continuosly. NESO offers new exclusive features like: - supports linux - analyzes many les at once - classifies as the same unit the same - waveforms cointained in separated files at once - spike viewer allows you to select and delete artefacts very easily just dragging the cursor - selects spikes manually to sort or delete them with just one click At this point you can: - analyze NeuroShare and MultiChannel Systems recordings... -
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SpiKeDeteKt
An automatic spike detection program to be used with new KlustaKwik
This is an automatic spike detection program which takes account of probe geometry and produces a .mask file to be used with the new masked version of KlustaKwik. We recommend you use Python 2.6 or 2.7, e.g. a free academic version can be obtained from Entthought Python. The input files for SpiKeDeteKt are: .dat (raw data file) .probe (probe file, described below - user constructed) parameters.py (optional - otherwise it uses defaultparameters.py) SpiKeDeteKt outputs the following... -
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sigTOOL provides a user-extendable signal analysis environment for processing electrophysiological data within MATLAB. Neuron spike-train, + spectral and time-domain analyses are built in. See http://dx.doi.org/10.1016/j.jneumeth.2008.11.004
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iSpike is a spiking neural interface between the iCub humanoid robot and a spiking neural simulator such as NeMo.The system aims to provide an interface for the iCub that provides as biologically realistic spike trains from its senses as possible.
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Electrophysiology & circular stats tools
Data analysis and circular statistics with OpenElectrophy and R
Set of tools for basic analysis of electrophysiological data. The Python classes show how to call OpenElectrophy functions and save data. The R library applies circular statistics to spike phase data and saves the best von Mises fit and the Rayleigh statistics on the disk. The wavelet coherence analysis is done in R by the package "sowas". Check the module R_coherence to see how we solved that problem. This packages may be useful for people who start using OpenElectrophy and circular... -
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A collection of compact, powerful programs and functions, written in C, for the analysis and transformation of data. No object or structure dependencies, no fancy interfaces - just good tools.
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A dynamic, object-oriented programming language with a C-like syntax
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SPKtool is a toolbox developed on MATLAB which enables a user to perform spike (action potential of neurons) detection, spike sorting (manually or automatically) and spike train analysis.
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MClust provides spike sorting for neurophysiological recordings from single and multi-channel electrodes. Written in Matlab, it is easily extendable and easily modifiable to work with any recording system.
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TestGen4J is an open-source, automaticJava test generator that creates standard JUnit test cases from Java class or source files. In addition to reducing manual testing, it provides a data driven test harness with an automatic failed test case utility.
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A tool for Multi-Router Traffic Graphing software, MRTG Spike Remover removes anomalous "spike" data from the MRTG logs in order to faciliatate reading the parts of the graph important to the surveyor, leaving out irrelevant data outliers.
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JNeuron is an analysis tool for multi-neuronal spike train analysis. The tool will allow scientists to organize their spike train data analysis into projects. The tool will implement standard spike train analysis algorithms and also datamining algorithms
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