Neurokymography [NKG] is a neuroimaging technique developed jointly by Cambridge University and the MRC Cognition and Brain Sciences Unit. It searches for the output of computable functions, encoded in the medium of postsynaptic apical dendritic current (as estimated using electro- and magneto-encephalographic (EMEG) recordings).
Neurokymography takes as a starting point an assumption that the output of functions are encoded in the post-synaptic apical dendritic current aggregated over the millions of pyramidal cells found in patches of cortex 3mm across (an area of approximately 8mm2). These regions are known as sources. Having specified an encoding and a function, the procedure searches tens of thousands of sources in each hemisphere to see if the output of that function is encoded in the current at that source.
Figure 1: Outline of neurokymography.
As well as searching through all the sources in the brain, neurokymography also searches through a range of latencies for the output of the function information. We currently search from -200 ms (as a sanity check) to 800 ms, although this range may increase in time.
Kymata (kymata-atlas.org) is a repository of the results deriving from neurokymography. Data in the repository can be examined using a 3D (webGL) viewer. The viewer allows the user to select functions of interest (pitch, loudness, colour, movement etc.) from a database, and then to view the expression of that function in space and time.
Figure 1: Neurokymography results, viewed in 3D on a cortical surface.
Researchers interested in the function's locations and latencies will be able to use this viewer to examine existing neurokymography results and report them in their own work.