-
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.
Index
- About
- Book Reviews
- Documentation
- External announcements
- Jobs
- Scientific Journals
- Scientific Reports
- Software
- Stories
- Tutorials
Archives
Supporters
Feeds
Neurobot via RSSLicense
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
- Postdoctoral Position at the SiNAPSE Institute, Singapore
- Postdoctoral position in Experimental / Theoretical Neuroscience in Heraklion, Crete
- Postdoctoral Research Position at Carnegie Mellon University
- Position in Theoretical Neuroscience
- Post-doctoral position in Theoretical Neuroscience at INRIA
Thematic Categories
Biometrics CPG Brain-inspired Computing transcranial direct current stimulation Neuro-inspired Computing Neural coding neuroprosthetics Deep Brain Stimulation LFP Machine Learning Sparse neurons Noise Computational Neuroscience Wavelets neural recordings Information Theory Dimensionality Reduction Modelling Neural Networks Clustering Statistical Analysis Neurophysiology Spike Sorting Brain Interfaces Brain Research
WP Cumulus Flash tag cloud by Roy Tanck requires Flash Player 9 or better.
Neurobot on Twitter
Neuroinformatics news
- Python-based geometry preparation and simulation visualization toolkits for STEPS April 11, 2014
- A mesoscale connectome of the mouse brain April 11, 2014
- Machine learning patterns for neuroimaging-genetic studies in the cloud April 9, 2014
- Synaptic and nonsynaptic plasticity approximating probabilistic inference April 8, 2014
- Sharing privacy-sensitive access to neuroimaging and genetics data April 7, 2014