Transmission-Line Matrix (TLM) modelling of neural fields

In this thesis, the feasibility to model the neural fields in brain using the Transmission-Line Matrix (TLM) techniques is explored. This approach differs from the currently used Finite Difference (FD) numerical method by providing the electrical equivalent network where all the model parameters have analogues in electrical elements of TLM node, thus enabling better interpretation of the physical implications of discretisation and of the model. The TLM simulations show a great compatibility with FD, thus opening a possibility for a development of a brain-on-the-chip for in-silico multiscale brain experimentation, which will greatly help the advancement of neuroscience.