-
Notifications
You must be signed in to change notification settings - Fork 0
MohammedAdain/OB_ELP
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
README for OB_EPL model Imam and Cleland 2020, Nature Machine Intelligence Also: https://arxiv.org/abs/1906.07067 1. System requirements a. Software dependencies -- Python version 2.7 -- Python packages numpy and matplotlib b. Versions that the software has been tested on -- Python version 2.7 running on Mac OS X 10.11 and Windows 10 c. Non-standard hardware None. The code provided here runs on a convetional desktop computer. For the full model, this code runs three orders of magnitude slower than the model implemented in Intel's Loihi neuromorphic system. 2. Installation guide a. We recommend using the Anaconda Python Distribution. -- Installation link: https://docs.anaconda.com/anaconda/install/ -- Chooose your operating system and Python version 2.7 -- Download and install b. Typical install time: Approximately 20 minutes 3. Demo a. Instructions to run on data -- Open the Anaconda Navigator -- Click "Launch" under "Spyder" (a Python development environment) -- Click File->Open -- Open the file "singleOdorTest.py" -- Click Run->Run b. Expected output -- Raster plots showing spiking activity for a test sample of Toluene. Autoassociative network dynamics across five gamma cycles can be observed across the five raster plots. -- Bar plot showing the similarity between a test sample of Toluene and the learned representation of Toluene across five gamma cycles. c. Expected run time on a conventional desktop computer: ~15 seconds. 4. Instructions for use a. Files "singleOdorTest.py", "multiOdorTest.py", "plumeTest.py" can be run through Spyder (see step 3a above). b. Reproduction instructions -- "singleOdorTest.py" generates main results of Figure 3. -- "multiOdorTest.py" generates main results of Figure 4. -- "plumeTest.py" generates main results of Figure 5. .
About
No description, website, or topics provided.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published