<html><head></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; "><div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; font: normal normal normal 12px/normal Helvetica; ">Source code for encoding and decoding of natural and synthetic visual scenes (videos) with</div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; font: normal normal normal 12px/normal Helvetica; ">Time Encoding Machines consisting of Gabor or center surround receptive fields in cascade</div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; font: normal normal normal 12px/normal Helvetica; ">with Integrate-and-Fire neurons is available at <a href="http://www.bionet.ee.columbia.edu/code/vtem"><span style="text-decoration: underline; ">http://www.bionet.ee.columbia.edu/code/vtem</span></a></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; font: normal normal normal 12px/normal Helvetica; ">The code is written in Python/PyCuda and runs on single GPUs.</div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; font: normal normal normal 12px/normal Helvetica; "><br></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; font: normal normal normal 12px/normal Helvetica; ">The current release supports grayscale videos. Stay tuned for color and multi-GPUs implementations.</div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; font: normal normal normal 12px/normal Helvetica; min-height: 14px; "><br></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; font: normal normal normal 12px/normal Helvetica; ">A visual demonstration of decoding a short video stimulus encoded with a Video Time Encoding Machine</div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; font: normal normal normal 12px/normal Helvetica; ">consisting of 100,000 Hodgkin-Huxley neurons is available at: <a href="http://www.bionet.ee.columbia.edu/research/nce"><span style="text-decoration: underline; ">http://www.bionet.ee.columbia.edu/research/nce</span></a></div></div><div><br></div><div>Aurel</div><div apple-content-edited="true"><div><a href="http://www.bionet.ee.columbia.edu/">http://www.bionet.ee.columbia.edu/</a></div><div><br></div><br class="Apple-interchange-newline">
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