Clarinet is a MATLAB® app designed to analyze electrophysiology experiments.
Developed for neuroscience research, Clarinet allows you to analyze neuronal signals acquired with a variety of intracellular and extracellular recording techniques.
Features include:
+ Import Symphony v1 & v2 data
+ Plot epochs (2D and 3D plot)
+ Dynamically process epochs using custom functions
+ Search epochs that meet specific criteria
+ Color tag epochs for faster inspection
+ Extract features across group of epochs
For more information and to download the latest version visit: https://lucadellasantina.github.io/Clarinet/
Cita come
Luca Della Santina (2024). Clarinet (https://github.com/lucadellasantina/Clarinet), GitHub. Recuperato .
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Versione | Pubblicato | Note della release | |
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2.4 | Main app menu, app preferences, shared folder for custom processor / extractors |
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2.1 | Split epochs according to a conditions tree
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2.0 | + Features mode allows to collect features across epochs |
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1.7 | Add custom tags to selected epochs
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1.6.1 | Fixed error when searching text attributes of an epoch |
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1.6 | Custom epoch processors stored in userpath/Clarinet/+customProcessors
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1.5 | + New Epoch processors: interpolate, decimate, truncate,addNoise, addNonLinearity, powerSpectrum, subtractDrift
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1.4 | Epoch processors called without arguments return default setting
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1.3 | + Epochs can be tagged with colors for easy grouping
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1.2 | Processing pipeline allows using multiple epoch processors in chain
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1.1 | + 2D/3D plot switcher
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1.0 |
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