The aim of this project is the deciphering of neural mechanisms of vocal learning, and in particular the role of the Basal Ganglia (BG), using the songbird model. It relies on an interdisciplinary approach combining experimental (including electrophysiology and optogenetics) and theoretical (computational modeling) approaches. Read the rest of this entry…
In this tutorial by Dr. Liam Paninski, the Expectation-Maximization (EM) algorithm is discussed and illustrated in a variety of neural examples. Read the rest of this entry…
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…
The Advanced Course in Computational Neuroscience is for advanced graduate students and postdoctoral fellows who are interested in learning the essentials of the field. Read the rest of this entry…
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