xolotl

xolotl: a fast and powerful neuron and network simulator

xolotl is a free-to-use, fast and intuitive neuron and network simulator.

xolotl is a fast single-compartment and
multi-compartment simulator written in C++ with
a MATLAB interface that you'll actually enjoy using.

Why use xolotl? This is why:

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xolotl is FAST

xolotl is written in C++, and it's fast. In our testing, it's
more than 3 times faster than NEURON for single
compartment neurons.

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xolotl is easy to use

Want to set up a Hodgkin-Huxley model, inject current,
integrate it and plot the voltage trace? This is all you need:

```matlab
x = xolotl;
x.add('compartment', 'HH','A', 0.01);
x.HH.add('liu/NaV', 'gbar', 1000);
x.HH.add('liu/Kd', 'gbar', 300);
x.HH.add('Leak', 'gbar', 1);
x.I_ext = .2;
x.plot;
```

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xolotl has documentation

Unlike certain widely used NEURON simulators that
shall remain nameless, xolotl has documentation that actually...
exists.

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xolotl is fully programmable

xolotl is designed to be used from within MATLAB. It
gives you the best of both worlds: the high performance
of C++ compiled code with the rich power of all the toolboxes
MATLAB has to offer. You can:

* write functions that pass models as arguments
* optimize parameters of neuron models using the Global Optimization Toolbox
* run simulations in parallel across multiple computers
* have a single script to run the simulation and analyze results