Research: Presentations

Biological and Computing/Communication Systems

The computer science and biological science communities have a history of mutual influence where the transfer of ideas and techniques has resulted in significant advances in both fields. The collaboration between the two communities to date has been dominated by the transfer of ideas from one community to the other.   

By deepening cross fertilization of the research effort between two communities, the bio-inspired parallel computing will have the potential to study new technologies to further advance design of computer chips, computation modeling, and algorithms. Such a future computer system integration to exploit current understanding of biological systems will develop a revolutionary computing platform for direct modeling and simulation of complex biological systems. 

It has become increasingly apparent that a similar set of scientific issues is shared by computer scientists and biologists including: information representation and processing; networks and communication; control systems; learning; and adaptation. The identification of shared organizing principles and investigation of such principles are the next logical steps for the collaboration between the computing and biological science communities.

This workshop brought together computer science, network communication science and biological science communities to start discussing shared organizing principles. Workshop presentations included:

Computing, Communication and Control: Arthur Lander
Computer Science and Biology: Tatsuya Suda
Engineering Optimization and Nature: Ender Ayanoglu
Optimal Temporal and Spatial Sensing by Cells: Tau-Mu Yi
Using Competition for Decision Making: Oliver Cinquin
New Approaches for EEG Source Localization and Dipole Moment Estimation: Lee Swindlehurst
System Biology Tuned Computer Architecture: Jean-Luc Gaudiot
Biological Computing Ideas: Eric Mjolsness
Molecular Communication: Michael Moore