[pyclustering.nnet] Freeman oscillatory network implementation

**Introduction**
Freeman’s model is a biologically realistic computational model of the olfactory cortex.

**Resources**
- W. Freeman, Mass Action in the Nervous System. New York: Academic, 1975.
- J. Principe, V. Tavares, J. Harris, and W. Freeman, “Design and implementation of a biologically realistic olfactory cortex in analog VLSI,” Proc. IEEE, vol. 89, no. 7, pp. 569–571, July 2001.

**Description**
This model of oscillatory network should be implemented and provide following services:
1. Simulation of the network using specify amount of oscillators, network structures (_all-to-all_ - where each oscillator is connected with others, _grid-four_ - where each oscillator has four neighbors, _grid_eight_ - where each oscillator has eight neighbors, _bidirectional_ - where each oscillator has two neighbors);
2. Output dynamic of the network should be provided if special flag is set (collect_dynamuc = True);
3. Output dynamic analyser that should allocate synchronous ensembles and important for this particular model features.
4. Visualizer that should visualize output dynamic of the network.