Search Results for "spike"
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Showing 43 open source projects for "spike"
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Deploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
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Our visitor management system streamlines registration, check-in, and authorization processes, while our facility management tools streamline room booking, resource allocation, and asset management. We prioritize security with our advanced risk mitigation measures, including health and safety protocols, emergency messaging, and robust analytics for thorough auditing.
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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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NESSIE is a modern first-principle calculation software that can adequately address the need for ever-higher levels of numerical accuracy and high-performance in large-scale electronic structure simulations, as well as pioneer the fundamental study of quantum many-body effects in a large number of emerging nanomaterials. NESSIE is an electronic structure code that uses a real-space FEM discretization and domain-decomposition (DD) to perform all-electron ground-state DFT and real-time...
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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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For minor company expenses, you might utilize a spend management solution or track everything in spreadsheets. For everything more, you'll need Precoro. We help companies achieve procurement excellence and budget efficiency by building transparent, predictable, automated spending workflows.
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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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... annotating all the spike regions. This annotated dataset, called SPIKE, is then used to train four region-based Convolutional Neural Networks (R-CNN) which take, as input, images of wheat plots, and accurately detect and count spike regions in each plot. The CNNs also output the spike density and a classification probability for each plot.
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Spiky Storm
Shooting & survival Game
Life is not a bed of roses it is full of spike & struggle. As our life the goal of the game is to fight against the spike as long as you alive. Instruction: Press Arrow keys or A,S,D,W key to control the copter.Avoid the spikes & shoot them by pressing space. If the copter touches the positive balls then score will increase & score will decrease for the negative balls. Press Esc key to Pause the game. Licence for use: Spiky Storm is a freeware. You can use or distribute this game freely... -
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NeuroSuite
Klusters, NeuroScope and NDManager
..., as well as the position of the animal in the environment. It also features limited editing capabilities. NDManager (Neurophysiological Data Manager) is a simple graphical application designed to help neurophysiologists manage their experimental recording parameters (e.g., number of channels and sampling rate of the acquisition system) and process their data (data filtering, spike extraction, PCA, etc.) -
Using just a single server or virtual machine, Statseeker can be up and running within minutes, and discovering your entire network in less than an hour, without any significant effect on your bandwidth availability.
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RELACS (Relaxed ELectrophysiological data Acquisition, Control, and Stimulation) for online spike detection, analysis, and stimulus generation maximizes the yield of your experiments. Program your experiments with hardware independent C++ plugins.
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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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Spike-pentesting-vm
Virtual machines Built for Testing Spike Pentesting Linux
https://sourceforge.net/projects/spikepentesting/files/isos/ irc://irc.freenode.net/#spike-pentesting irc://irc.freenode.net/#spike-pentesting-dev Exported virtualbox/Vmware compatable Virtual Machinespre made for ease and conviniance as curently the ISO's are apha. -
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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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Cerebellum Granule Neuron model
This is a detailed NEURON Model for a cerebellum granule cell.
A detailed multicompartmental model was used to study neuronal electroresponsiveness of cerebellar granule cells in rats. Here we show that, in cerebellar granule cells, Na+ channels are enriched in the axon, especially in the hillock, but almost absent from soma and dendrites. Numerical simulations indicated that granule cells have a compact electrotonic structure allowing EPSPs to diffuse with little attenuation from dendrites to axon. The spike arose almost simultaneously along the whole... -
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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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SpikeAnalyzer
SpikeAnalyzer is a program for calcium spikes analysis
SpikeAnalyzer is a semiautomatic program for analysis of calcium spikes in cardiac myocytes created in the MATLAB environment. The analysis parameters are automatically initialized upon loading the electrophysiological and confocal data in their respective proprietary formats (confocal data - .tif, electrophysiological data – .abf ver. 2.0). The analysis starts with interactive selection of spike positions and determining their temporal fluorescence profiles. The data approximation uses... -
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Spike detector
Action potential detection from extracellular recording
TAction potential detection from extracellular recording data embedded with baseline fluctuations. The attached pictures show actual extracelluar recording in different time resolutions (above: x = time (ms); y = current (A)) and the spike detector output (below: x = time (ms); y = 1 on a spike position, 0 elsewhere). The prevailing problem with the spike detection analysis is that there is a mild baseline fluctuation and the sampling rate can vary among data files. This spike detecting... -
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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...