Join GitHub today
GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together.Sign up
GitHub is where the world builds software
Millions of developers and companies build, ship, and maintain their software on GitHub — the largest and most advanced development platform in the world.
This package contains the implementation of the Cognon Simulator. It implements a model of spike-based neuron processing discovered by David H. Staelin and Carl H. Staelin and described in ... This simulator was written in C++ and developed under Linux. It is publicly released under the GNU GPL version 2.0. To build and run the simulator requires at least the following packages to be installed: GNU C++ version 4.0 or later GNU Make Boost libraries To build and run the program:  Download the package from cognon.net  Unpack the zip or tar file  In a command shell run: $ cd cognon-1.0 $ make all  To reproduce the data tables shown in the paper run: $ make tables  To run the sample configurations: $ ./cognon sample-input.spec This simply runs the configurations and outputs a CSV data file giving the learning performance for those configurations.  To run a sample set of configurations which are optimized by a search process: $ ./cognon -c sample-optimize.spec This gives the system a base configuration from which it searches for the optimal values of W, H, Q, and G_m.  Alternatively, you can build your own version of the simulator to develop a better search strategy, build multi-neuron simulations, explore alternative learning strategies, or pursue other interests. Tests: There are a number of standalone unit tests for aspects of the Cognon simulator. There are not enough of them, but there is a start. They are: alice_test bob_test cognon_test neuron_test wordset_test Tables: You can replicate our experiments simply by typing: $ make tables which runs cognon on these files: table-2.1.spec table-2.3.spec table-2.4.spec table-3.2.spec table-3.3.spec table-3.4.spec There are a few standalone programs that perform the expensive search process to find the best configurations for the tables from the monograph. They can take a long time to run, but you may run the programs using: $ table-2.1 $ table-2.3 $ table-2.4 $ table-3.3 You can run all of them by typing: $ make searches Graphs: You can replicate the experimental data for our graphs by typing: $ make graphs This will generate the Mathematica text input files containing the data used to create Graphs 2.1, 2.2, and 2.3 from "Models for Neural Spike Computation and Cognition": graph-2.1.data graph-2.2.data graph-2.3.data predict-2.1.data predict-2.3.data This package contains the following files: COPYING Makefile README alice.cc alice.h alice_test.cc bob.cc bob.h bob_test.cc cognon-orig.h cognon.cc cognon.h cognon_main.cc cognon_stats.cc cognon_test.cc compat.cc compat.h monograph.cc monograph.h mtrand.h neuron.cc neuron.h sample-input.spec sample-input.spec sample-optimize.spec sample-optimize.spec table-2.1.cc table-2.1.spec table-2.3.cc table-2.3.spec table-2.4.cc table-2.4.spec table-3.2.spec table-3.3.cc table-3.3.spec table-3.4.spec wordset.cc wordset.h wordset_test.cc