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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.
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- 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
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Neuroimaging Plasticity Biometrics CPG Trajectories Neural coding tCS Retinal prosthesis brain to brain interface neuroethics Brain-inspired Computing transcranial direct current stimulation Neuro-inspired Computing Bionics neuroprosthetics EEG TMS Deep Brain Stimulation LFP Noise Sparse neurons Wavelets Machine Learning Computational Neuroscience neural recordings Information Theory Dimensionality Reduction Modelling Neural Networks Clustering Statistical Analysis Neurophysiology Spike Sorting Brain Interfaces Brain Research
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Neuroinformatics news
- New issue of INCF Newsletter March 5, 2015
- Berkeley summer course in mining and modeling of neuroscience data March 3, 2015
- Improve your Python! February 25, 2015
- We've been accepted as a mentoring organization for Google Summer of Code! February 10, 2015
- Lurie Prize to Karl Deisseroth for neuroscience methods February 10, 2015