11 Historical Context: From Synchrony to Form Change

11.1 Pioneering work on neural binding

The question of how the brain integrates the distributed features of a stimulus into a unified representation was significantly shaped in the second half of the 20th century by the work of Wolf Singer, Christoph von der Malsburg and Ulrich Ramacher. These researchers recognised early on that neural representation is not a static state, but a dynamic process expressed in the temporal activity of large networks of neurons.

Their key observation was:

This view was far ahead of its time. It required a deep understanding of signal processing, networks and dynamics — and it was a decisive step towards a systems-theoretical view of the brain.

11.2 Synchrony as an observed phenomenon

Looking back, it can be stated that:

Synchrony thus provided an important empirical window into the dynamics of the brain.

Yet the question remained:

Is synchrony the mechanism of binding — or merely its visible accompanying phenomenon?

11.3 Complex signals and the debate over grandmother cells

In earlier work, it was proposed that the brain generates complex signals — well-ordered sets of elementary signals that together represent a form. Singer viewed this concept critically, as he saw the danger of thereby introducing a kind of ‘grandmother cell’.

This criticism was justified if complex signals are understood as individual neurons.

However, from the signal-theoretical perspective presented here, the following applies:

This resolves the debate:

Singer was therefore right to reject the grandmother cell. And at the same time, the concept of complex signals is correct — if understood in a vectorial sense.

11.4 Synchrony as an epiphenomenon of form change

The theory developed here shows:

This results in an oscillatory alternation between:

Formel

This oscillation is arithmetically necessary and generates:

This makes it clear:

Synchrony is not the mechanism of binding, but the visible epiphenomenon of the change in form.

Singer observed the phenomenon. Signal-theoretical architecture explains the mechanism.

11.5 The present: A more precise systems-theoretical perspective

From today’s mathematical and signal-theoretical perspective, it can be said:

This brings us full circle:

The present allows us to integrate both perspectives.