Thalamic neural mass model and Exploration tools

We're happy to introduce a few new features in this release!

• 🧠 New model: Thalamus model ThalamicMassModel (thanks to @jajcayn)
  • Model by Costa et al. 2016, PLOS Computational Biology
• ⚒ New tools for parameter exploration: explorationUtils.py aka eu
  • Postprocessing of exploration results using eu.processExplorationResults()
  • Find parameters of explored simulations using eu.findCloseResults()
  • Plot exploration results via eu.plotExplorationResults() (see example image below)
• 🧪 Custom transformation of the inputs to the BOLDModel.
  • This is particularly handy for phenomenological models (such as FHNModel, HopfModel and WCModel) which do not produce firing rate outputs with units in Hz.
• 🔬Improvements
  • Models can now generate random initial conditions using model.randomICs()
  • model.params['bold'] = True forces BOLD simulation
  • BoxSearch class: search.run() passes arguments to model.run()
  • BOLD output time array renamed to t_BOLD

🖼 Example image generated by eu.plotExplorationResults(): Exploration results of a brain network of FHNModel nodes using the hcp dataset.