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16
Apr
TRENTOOL is an implementation of transfer entropy and mutual information analysis based on Wiener’s causality principle, aiming at the detection of model-free neuronal interactions in neural networks.
TRENTOOL is an implementation of transfer entropy and mutual information analysis based on Wiener’s causality principle, aiming at the detection of model-free neuronal interactions in neural networks.
By Dr. Nikolaos A. Laskaris
The term ‘‘pattern’’, currently, encompasses the notion of a variety of data-forms the machines have to tackle with. Despite the fact that in early days it was used mostly for pictorial information, i.e. 2D-signals, now the same term stands almost for any output from a data-source. For instance, any digital-signal can be considered as an 1D-pattern, a grey-scale image as a 2D-patterm, a video-sequence as a (temporal) multi-dimensional pattern etc. Read the rest of this entry…
A description of NeuroML (http://www.neuroml.org) has been published in PLoS Computational Biology.
Padraig Gleeson, Sharon Crook, Robert C. Cannon, Michael L. Hines, Guy O. Billings, Matteo Farinella, Thomas M. Morse, Andrew P. Davison,
Subhasis Ray, Upinder S. Bhalla, Simon R. Barnes, Yoana D. Dimitrova, R.
Angus Silver
NeuroConstruct is a software for developing biologically realistic 3D neural network. It has been developed in the Silver Lab in the Department of Physiology at UCL.
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