[Comp-neuro] open-source for massively parallel neural
encoding/decoding of visual stimuli/scenes
Aurel A. Lazar
aurel at ee.columbia.edu
Fri Jun 14 16:27:49 CEST 2013
Source code for encoding and decoding of natural and synthetic visual scenes (videos) with
Time Encoding Machines consisting of Gabor or center surround receptive fields in cascade
with Integrate-and-Fire neurons is available at http://www.bionet.ee.columbia.edu/code/vtem
The code is written in Python/PyCuda and runs on single GPUs.
The current release supports grayscale videos. Stay tuned for color and multi-GPUs implementations.
A visual demonstration of decoding a short video stimulus encoded with a Video Time Encoding Machine
consisting of 100,000 Hodgkin-Huxley neurons is available at: http://www.bionet.ee.columbia.edu/research/nce
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