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# Brian2

[Documentation](https://brian2.readthedocs.io/en/stable/user/index.html)

[Conversion and models equations](https://brian2.readthedocs.io/en/stable/introduction/brian1_to_2/index.html)

## Models and groups of neurons
[Subgroups for neurons](https://brian2.readthedocs.io/en/stable/user/models.html#subgroups)
-> use for a single neuron group with the different types of neurons split

[State variables](https://brian2.readthedocs.io/en/stable/user/models.html#storing-state-variables) 
-> Export to pandas, maybe useful for some analysis 


## Numerical integration
Tries automatically to detect the best method. 
It might produce NaN or wrong results -> Produces a warning

## Equations
[Symbols for equations](https://brian2.readthedocs.io/en/stable/user/equations.html#list-of-special-symbols)

## Refractoriness
The definition of refractoriness consists of two components: 
the amount of time after a spike that a neuron is considered 
to be refractory, and what changes in the neuron during the refractoriness.

## Input Stimuli
[Poisson stimuli](https://brian2.readthedocs.io/en/stable/user/input.html#setting-rates-for-poisson-inputs)

## Code generation
[C++ Code Generation](https://brian2.readthedocs.io/en/stable/user/computation.html#standalone-code-generation)

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# Brian2Tools
[Synaptic Connections](https://brian2tools.readthedocs.io/en/stable/user/plotting.html#plotting-synaptic-connections-and-variables)
-> Plot synaptic connections and variables

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# Thomas Stone CX
[CX Brian](https://github.com/tomish/brian-cx)


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## Brain2 benchmark
Uses conductange based synapses in the following [way](https://github.com/brian-team/brian2genn_benchmarks/blob/master/COBAHH.py#L51)
```python
# Reversal potentials
V_E = 0 * mV
V_I = -80 * mV

# Time constants
tau_E = 5 * ms
tau_I = 10 * ms

I_syn = g_E * (V_E - V) + g_I * (V_I - V) 
dg_E/dt = -g_E*(1./tau_E) : siemens
dg_I/dt = -g_I*(1./tau_I) : siemens
```