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Neural modeling of an internal clock (Yamazaki and Tanaka 2008)
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<html><pre> * Readme ** What is this program? This is our re-implementation of the cerebellar model presented in the following paper: Tadashi Yamazaki and Shigeru Tanaka (2005), Neural Modeling of an Internal Clock. Neural Computation 17(5) 1032--1058. One can set parameters arbitrarily and simulate the network dynamics. Please notice that this program is independent of the original version developed by Yamazaki and Tanaka (2005). ** Files This folder contains the following files: readme.txt :: This file Makefile :: Makefile internalclock.c :: The model similarity.c :: Calculation of the similarity index. This program uses libgd(*) for generating the PNG file of the similarity matrix. (*) <a href="http://www.libgd.org/">http://www.libgd.org/</a> activity.dat :: Activity of model neurons (z_{i}(t)). raster.dat :: Indices of active neurons {i| z_{i}(t) > 0} at t. readout.dat :: Net input for given inter-stimulus interval, as shown in Fig. 14, p.1048. s.png (below):: PNG file of similarity matrix generated by similarity.c: <img src="./s.png" height=500 width=500 alt="s.png would have normally been displayed in your browser"> s.dat :: the 200, 400, 600, 800th rows of the similarity matrix ** Usage 1. Modify parameters in internalclock.c if necessary. 2. Install libgd to compile similarity.c. 3. make 4. ./internalclock <random number seed> <inter-stimulus interval> The value of inter-stimulus interval is used to compute the Net input. You can use for example "./internalclock 1234 10" 5. The program generates activity.dat, raster.dat, readout.dat. 6. ./similarity activity.dat s 7. The program computes the similarity index and generates s.png and s.dat. ** How to plot data using gnuplot gnuplot (http://gnuplot.info/) is a data and function plotting utility. Active neurons are plotted by gnuplot> plot 'raster.dat' X and Y axes represent time and neuron index, respectively. Net input for given inter-stimulus interval is plotted by gnuplot> plot 'readout.dat' with line X and Y axes represent time and the value, respectively. Similarity indices at t=200,400,600,800 are plotted by gnuplot> plot 's.dat' with line X and Y axes represent time and the value, respectively. ** Authors Takeru Honda and Tadashi Yamazaki TH: Dept. of Information and Communication Engineering, University of Electro-communications. TY: Lab. for Motor Learning Control, RIKEN Brain Science Institute. ** Copyright Copyright (c) 2007 RIKEN (The Institute of Physical and Chemical Research) Some rights reversed. ** License CC-BY This work is licensed under the Creative Commons Attribution 3.0 License. To view a copy of this license, visit <a href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</a> or send a letter to Creative Commons, 171 Second Street, Suite 300, San Francisco, California, 94105, USA. ---- Note from ModelDB administrator: This model is also available at: <a href="http://platform.cerebellum.neuroinf.jp/modules/xoonips/detail.php?id=943">http://platform.cerebellum.neuroinf.jp/modules/xoonips/detail.php?id=943</a> The model can be run online at the <a href="http://sim.neuroinf.jp">sim.neuinf.jp simulation platform</a>: <a href="http://sim.neuroinf.jp/modules/xoonips/detail.php?item_id=38"> <img src="./button.png" height=32 width=32 align=middle></a> </pre></html>
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