Things to look for

Have began reading the paper describing the neurological model I am to use. An interesting fact about patterns of connectivity in the cortex, there are 2 extremes being:
- isotropic and homogeneous in that all areas connect with nearby areas by a similar (at least in form) connectivity function that is broadly speaking symmetrical and translation invariant. Characteristic length scales are centimetric and are expected to vary systematically with brain size.
- The second pattern, which is more strongly represented in larger mammals, consists of a set of discrete bundles of fibres joining specific parts of cortex. We may call this pattern anisotropic and heterogeneous. These connections are asymmetric, translation variant and patchy and may span the entire cortex.

::Interest:: Will have to look back at connectedness in point set topology and also look for topological descriptions of neurological connectedness.

First post

Unofficially began my research, although I still have not been officially accepted in to my Masters at this stage.

Things I need to do to get started
- Read papers describing the model I will be using
- Learn Haskell!
- Implement the model in Haskell (failing that I will use python)
- Get a copy of kandel and schwartz (neuroscience text) and start reading it
- Set up a kanban board to help organise myself