Know where to go! - Information flexibly distributed
Max Planck and Bernstein researchers explain dynamic information transfer in complex networks
April 12, 2016
Information routing dynamically optimized
The researchers discovered that, for every collective dynamic state of the whole system, there is a pattern of ‘information routing’, meaning a pattern of how information is distributed and transferred between parts of the system. This is interesting both for biological as well as technical self-organizing systems in which there is no central control of information processing and distribution. If the dynamic state changes qualitatively, the whole routing pattern also changes. The theoretical work focuses on temporally continuous systems which do not process packet-by-packet, step by step, but route, transfer and divide information continuously, as typical in neuronal and other biological systems. Since dynamic states can be changed both via external signals, as well as by restructuring the network itself or simply by new start conditions, the patterns of information routing are themselves correspondingly dynamic and make information processing more flexible.
Managing information via remote control?
Interestingly, such changes in one part of the network can change the information transfer between two other parts. For example, if the information transfer is dynamically configured to be directed from network segment A to B, then a restructuring of a third network segment C (or a signal to C) can reverse the direction of information transfer between the first two segments so that it then travels from B to A. Because all the information in the network is distributed, the network dynamics can generate such a remote control between network segments. The researchers have also discovered a cornerstone for the understanding of modularly structured systems - how the information routing pattern is translated from one scale to the next larger, for instance how a particular information routing scheme between individual nerve cells carries over into the routing between populations of nerve cells.
“The possibilities for the distribution of information are well understood for networks of computers and other digital systems. For biological systems it is generally assumed that information is represented in a distributed manner and transferred between the parts in complex ways, but how exactly that could work was largely unknown”, says Prof. Timme. “We have now developed a theory that shows how this routing is determined in temporally continuous and analogue systems through collective dynamics”, explains Dr. Kirst.
New perspective on information distribution in complex networks
The results offer the first insights into the principles which govern the distribution and transfer of information in networked systems in a self-organizing manner. These insights can be especially relevant for biological networks such as neuronal or genetic systems whose main function consists in recording, distributing and processing information. This publication takes scientists in the neurosciences and biosciences a conceptual step further, so they can answer particular questions on information processing systems from a new perspective, as their fundamentals are now better understood.
Dynamic information routing in complex networks C. Kirst, M. Timme, and D. Battaglia
Nature Comm. vol:pp (2016)