Computer simulation showing the main features of guidance by gradients: the approach of the target position from different aspects including course corrections en route and the formation of the terminal arbor.
Regulatory features, such as compression of maps, can be incorporated into the models (Gierer, 1983
).Thus, if growth cones are assumed to induce, in an unspecific manner, a repellent substrate in the tectum, this simple mechanism would lead to expansion or contraction of the map, eventually occupying the tectal space available while fully maintaining the topographic order.
The theory may apply not only for mapping in the visual but also in the olfactory system (Gierer, 1998
). There, axons of any given olfactory receptor cell type converge on a given area of the olfactory bulb. It is proposed that, just as in the visual system, again all axons may use the same type of simple graded cues across the target tissue as coordinate system of growth cone navigation irrespective of the target positions. The subtlety and specificity of directional sensing resides in the navigating growth cone. In the olfactory system, it depends not on position of origin, but on receptor cell type. Following targeting at approximately correct positions, specific molecular interactions as well as activity-dependent processes are expected to lead to map sharpening and fine tuning (for review see Gierer and Müller, 1995
Examples of mathematical models of the two– as well as the one-gradient-per-dimension case are given in Gierer, 1987,
Fig. 1 and Fig. 2, respectively.
A simple general version based on one gradient for each of the two dimensions of the target field (Gierer 1998)
on which the computer simulation shown above is based, is to assume transduction and processing of gradients f(x) and g(y), sensed by the navigating growth cone in the area of contact with target tissue, leading to an intra-growth-cone-distribution of the product of processing
p(x,y) = αf(x)/ (1 + [αf(x)]2 ) + βg(y) / (1+ [ βg(y)]2 )
The p gradient is enhanced within the growth cone resulting in a focus of activity directing further growth of the axon towards the position of optimal value p
, given by the coordinates x,y where f(x) = 1/α and g(y) = 1/β. α, β are the growth cone features defining the target position. For models of topographic projections as they occur in the visual
system, α and β must depend monotonically on the coordinates of origin of the corresponding axons; in case of the olfactory
system, α, β is assumed to depend on the receptor-cell-type, thus allowing for the convergence of the fibres of each receptor-cell-type towards the position of the corresponding glomerulus in the olfactory bulb.
The one-gradient-per-dimension model implies targeting towards a position determined by absolute values of the guiding gradients f and g. This corresponds formally to a quantitative matching behavior between features of growth cones and target tissue. However, in terms of mechanisms, the process is attributed to molecular kinetics of signal transduction and processing and not just to adhesion of complementary surface molecules which would be, in itself, insufficient for directional guidance. For models based on two antagonistically acting gradients in each dimension, it is their slopes, not just their absolute values that define the target position. The one-gradient-models are more elegant but it is prudent to remain open minded to multiple gradients as well since biological mechanisms are determined by evolution rather than by mathematical elegance.
Recent experimental findings (2006) in favor of our concepts on axonal guidance by gradients are referred to in an “editors summary” with respect to the visual system in Nature , and in a reviewing article by Chen and Flanagan with respect to the olfactory system in Cell .