Spontaneous network activity in the form of Up and Down states plays an important role in the function of neural circuits and reflects intrinsic connectivity. Such cortical dynamics are shaped by genes, experience and intrinsic cellular properties and form the substrate upon which external stimuli and neuromodulation will impinge to determine cortical responses. Read the rest of this entry…
A postdoctoral research position is available at Carnegie Mellon University for collaborative research on statistical analysis of neural data.
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.
The Elements of Statistical Learning: Data Mining, Inference, and Prediction.
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