Monthly Archives: February 2016

Deep learning, part III: understanding the black box

Posted on February 27, 2016 by P.T.R. Rupprecht

As many neuroscientists, I’m also interested in artificial neural networks and am curious about deep learning networks. I want to dedicate some blog posts to this topic, in order to 1) approach deep learning from the stupid neuroscientist’s perspective and 2) to get a feeling … Continue reading →

Posted in machine learning | Tagged , , | 4 Comments

Undistort/unwarp images for resonant scanning microscopy

Posted on February 16, 2016 by P.T.R. Rupprecht

For image acquisition using a resonant scanning microscope, one of the image axes is scanned non-linearly, following the natural sinusoidal movements of the resonant scanner. This leads to a distortion of the acquired images, unless a online correction algorithm or … Continue reading →

Posted in Calcium Imaging, Microscopy | Tagged , , , , | 1 Comment

Deep learning, part II : frameworks & software

Posted on February 3, 2016 by P.T.R. Rupprecht

As many neuroscientists, I’m also interested in artificial neural networks and am curious about deep learning networks. I want to dedicate some blog posts to this topic, in order to 1) approach deep learning from the stupid neuroscientist’s perspective and 2) to get a feeling … Continue reading →

Posted in machine learning | Tagged , | 3 Comments