Saturday, 18 July 2009

Integrative Approaches to Brain Complexity conference October 7 - 10, 2009

Due to travel logistics TSC 2009 was not a good direction for progress of the Dipole Neurology project. I had concerns about taking the theory to a philosophy biased neuroscience conference when there are many technical problems still needing to be ironed out..

We feel the best direction is the Cold Spring Harbor Laboratory/Wellcome Trust conference on Integrative Approaches to Brain Complexity. This will be held at the Wellcome Trust Conference Centre on the Wellcome Trust Genome Campus in Hinxton, UK. We will ask to present under "Data integration and systems biology".

From their site

"Understanding the structural and functional complexity of the vertebrate nervous system is the theme of this meeting. Advances in genomics and proteomics are defining the molecular building blocks that underpin the structural complexity of the brain and it behavioural output. Combining genetic discoveries with anatomical, electrophysiological and behavioural findings, it is now feasible to integrate this knowledge."

Photos of the conference here

What was not expected that was Seth Grant the organizer had a project which had used the Sanger institutes Blue Gene computers to crunch the origin of synapses back through as many species as possible over nearly a million years.  Basically what we find is that we can date the start of axons and neurons as we know them to about 766 Mya (million years ago).  Research by Hartline (2011)  finds that evolution of glial cells into their current form is a  more recent development  around 500Mya (approx) and in particular Astrocytes and radial glia converge with the arrival of Craniata, species with hard skulls and the development of brain structures as we currently know them.

The very concept of the dipole neurology approach is that radial glia and the flow of ions through it allows for the emergence of large scale structures which are governed by the natural laws of Magnetohydrodynamic force, and that these structures have inherent computational functionality by coherently organizing neurons and axons within a magnetic field structure. If anybody is familiar with my work they will understand I propose the MHD structures of dipoles can facilitate asymmetrical feature extraction and those of spherical harmonics (limbic system) cross association connectivity in networks similar (only in processing style) to  those sought after in adiabatic computing. The integration of both these basic top down quantum level functions at certain key areas in the brain produces more processing complexity (hippocampus, caudate, thalmocortical loop) as long is this evolution occurs in tandem with the bottom up components of axons and neurons. From here we have a highly powerful multi-level system which can then give rise to more complex computational functionality and this is why the evolution of brain development has facilitated greater ratios for glial to neurons as a consistent factor in evolution.

image above of the clade craniata from

For these components to evolve together to produce computational function requires at some stage in neurodevelopment they are coherent with each others mutations at the biophysical level, such that axons and neurons can be influenced by the top down glial structure, while the radial glial structure also has to remain plastic to small scale changes within the system by shrinking itself down after development just to areas such as the cortical astrocytes, thalamic reticular nucleus and ventricular neurogenesis areas. If the radial glial were to remain the brain would forever be dominated by top down large scale developmental reformation.

By contrast previous to this development of large scale structure by glial grown structures, neurons and axons were useful but ad hoc components in creatures, which never organized much of great significance, by comparison to recent brain development. Grant does finds increased duplication of neurons around the time of the arrival of astrocytes, but it is not stated this is linked to glial proteins as these were not part of his 2009 study. From the perspective proposed here neurons and axons are not really interesting from a computational aspect but turn out to be bit players in a multi-level evolution where the structures facilitated to develop by glial cells are the more recent dominant factors in the development of intelligence (of course social organization and our interaction with technology has overtaken this by magnitudes).