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Source: relacs
Tasks: debian-science/electrophysiology
Homepage: http://www.relacs.net
License: GPL-2+
Author: Jan Benda <benda@bio.lmu.de>
Language: C++
Version: 0.9.7
WNPP: 604564
Pkg-Description: framework for closed-loop neurophysiological experiments
RELACS is designed as an framework for closed-loop experiments that
may considerably speed up this traditional approach and in addition
offers novel experimental possibilities. In a closed-loop experiment
a stimulus is presented, the resulting response is immediately
analyzed, and properties of the next stimulus (e.g. mean
intensity) are adjusted as needed.
.
RELACS comes with an extensive set of data-analysis functions. The
functions are implemented in C++ to allow fast and memory efficient
data-analysis as it is required for closed-loop experiments:
- Basic statistics (e.g. mean, standard deviation)
- Spectral analysis: power spectrum, transfer function, coherence
- Linear and nonlinear fits (Levenberg-Marquardt and Simplex)
- Peak detection
- Histograms, interpolation
- Stimulus generation: pulse, saw tooth, band-pass filtered white
noise, Ornstein-Uhlenbeck noise
- Firing rates: mean, binned, convolved with kernels (e.g. rectangle,
triangle, Gaussian)
- Interspike intervals: histogram, CV, serial correlation, etc.
- Spike timing precision: vector strength, reliability, correlation,
synchrony etc.
.
RELACS plugin infrastructure allows to adapt it to specific hardware
drivers and they allow you to implement research protocols, filters,
spike detectors, etc.
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