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A neuronal circuit simulator that can directly and efficiently compute characterizations of stochastic behavior of neurons and synapses.

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cirsiumNeuron

cirsiumNeuron is a neuronal circuit simulator that can directly and efficiently compute characterizations of stochastic behavior, i.e., noise, for multi-neuron circuits.

Installation

cirsiumNeuron requires the SUNDIALS suite and the MATLAB interface of SUNDIALS called sundialsTB. In order to install SUNDIALS and sundialsTB, please download SUNDIALS (version 2.6.0), which is available at http://computation.llnl.gov/casc/sundials/main.html, and follow the installation instructions given at the above link. In order to install sundialsTB, within MATLAB, navigate to the sundialsTB subdirectory and run the script called "install_STB.m". You will need a C compiler that is recognized by MATLAB in order to generate .mex files. The installed sundialsTB and the source code for cirsiumNeuron should be added to the MATLAB path before attempting to use cirsiumNeuron.

Help

Please type "help circuit" in MATLAB for a brief tutorial on how to construct a simple circuit with cirsiumNeuron.

Publications

Please see the papers below for the details of the formulations and techniques implemented in cirsiumNeuron:

Spike Timing Precision of Neuronal Circuits

The directory "run_scripts" contains the scripts that were used to generate the results reported in the manuscript below

Title: Spike Timing Precision of Neuronal Circuits Authors: Deniz Kilinc, Alper Demir Journal of computational neuroscience, 44, 341-362. https://link.springer.com/article/10.1007/s10827-018-0682-z

Contact

For questions please contact Deniz Kilinc: [email protected]


Copyright 2018 by Koc University and Deniz Kilinc, A. Gokcen Mahmutoglu, Alper Demir. All Rights Reserved


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A neuronal circuit simulator that can directly and efficiently compute characterizations of stochastic behavior of neurons and synapses.

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