diff --git a/README b/README deleted file mode 100644 index 06752d7..0000000 --- a/README +++ /dev/null @@ -1,62 +0,0 @@ -============================================================================================================= -Network simulations of self-sustained activity in networks of adaptive exponential integrate and fire neurons -============================================================================================================= - -Demo files implemented using both NEURON and PyNN. The top level -folder (the folder with this README) python files will work with PyNN -version 0.8 and the python files in the prevPyNN subfolder will work -with PyNN version 0.7 - -demo_cx-lts ------------ - -Simulations of self-sustained AI states in a small N=500 network of -excitatory and inhibitory neurons, described by Adaptive -Exponential (Brette-Gerstner-Izhikevich) type neurons with -exponential approach to threshold. The connectivity is random and -there is a small proportion (5%) of LTS cells among the excitatory -neurons. This simulation reproduces Fig. 7 of the paper below. - -demo_cx_up-down ---------------- - -Simulations of Up-Down states in a two-layer cortical network, with -one N=2000 network and a smaller N=500 network. Both networks have -excitatory and inhibitory neurons described by Adaptative -Exponential (Brette-Gerstner-Izhikevich) type neurons with -exponential approach to threshold. The connectivity is random -within each network as well as between them. In the N=500 network, -there is a small proportion (5%) of LTS cells among the excitatory -neurons. This simulation reproduces Fig. 13 of the paper below. - -See details in the following article: - -Destexhe, A. Self-sustained asynchronous irregular states and -Up/Down states in thalamic, cortical and thalamocortical networks -of nonlinear integrate-and-fire neurons. Journal of Computational -Neuroscience 27: 493-506, 2009. - -arXiv preprint: http://arxiv.org/abs/0809.0654 - -Original NEURON implementation by Alain Destexhe - destexhe@unic.cnrs-gif.fr - http://cns.iaf.cnrs-gif.fr - -Converted to PyNN by Andrew Davison - davison@unic.cnrs-gif.fr -and Lyle Muller - lyle.e.muller@gmail.com - - -Usage (NEURON version): - - nrnivmodl - nrngui - -Usage (Python version): - - python - -where is one of the demo files, and -is one of neuron, nest, pcsim, brian, facets_hardware2, etc... - diff --git a/README.md b/README.md new file mode 100644 index 0000000..4cf4f17 --- /dev/null +++ b/README.md @@ -0,0 +1,41 @@ +# Network simulations of self-sustained activity in networks of adaptive exponential integrate and fire neurons + +Demo files implemented using both NEURON and PyNN. The top level folder (the folder with this README) python files will work with PyNN version 0.8 and the python files in the prevPyNN subfolder will work with PyNN version 0.7 + +## demo_cx-lts + +Simulations of self-sustained AI states in a small N=500 network of excitatory and inhibitory neurons, described by Adaptive Exponential (Brette-Gerstner-Izhikevich) type neurons with exponential approach to threshold. The connectivity is random and there is a small proportion (5%) of LTS cells among the excitatory neurons. This simulation reproduces Fig. 7 of the paper below. + +## demo_cx_up-down + +Simulations of Up-Down states in a two-layer cortical network, with one N=2000 network and a smaller N=500 network. Both networks have excitatory and inhibitory neurons described by Adaptative Exponential (Brette-Gerstner-Izhikevich) type neurons with exponential approach to threshold. The connectivity is random within each network as well as between them. In the N=500 network, there is a small proportion (5%) of LTS cells among the excitatory neurons. This simulation reproduces Fig. 13 of the paper below. + +See details in the following article: + +Destexhe, A. Self-sustained asynchronous irregular states and Up/Down states in thalamic, cortical and thalamocortical networks of nonlinear integrate-and-fire neurons. *Journal of Computational Neuroscience* 27: 493-506, 2009. + +arXiv preprint: [http://arxiv.org/abs/0809.0654](http://arxiv.org/abs/0809.0654) + +Original NEURON implementation by Alain Destexhe +destexhe@unic.cnrs-gif.fr +[http://cns.iaf.cnrs-gif.fr](http://cns.iaf.cnrs-gif.fr) + +Converted to PyNN by Andrew Davison +davison@unic.cnrs-gif.fr +and Lyle Muller +lyle.e.muller@gmail.com + +## Usage (NEURON version): + + nrnivmodl + nrngui + +## Usage (Python version): + + python + +where `` is one of the demo files, and `` is one of neuron, nest, pcsim, brian, facets_hardware2, etc... + +--- + +2025-06-02: Converted README to Markdown. \ No newline at end of file