The BioWall: An Electronic Tissue for Prototyping Bio-Inspired Systems

Authors:
Gianluca Tempesti;Daniel Mange;André Stauffer;Christof Teuscher
Affiliations:
-;-;-;-
Venue:
EH '02 Proceedings of the 2002 NASA/DoD Conference on Evolvable Hardware (EH'02)
Year:
2002

Citing 0
Cited 11

The data-and-signals cellular automaton and its application to growing structures

Artificial Life
An FPGA Based Test Bed for Bio Inspired Computation

IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 3 - Volume 04
Embryonics: A Path to Artificial Life?

Artificial Life
Hybrid Pipeline Structure for Self-Organizing Learning Array

ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
A Hardware-Software Design Framework for Distributed Cellular Computing

ICES '08 Proceedings of the 8th international conference on Evolvable Systems: From Biology to Hardware
On fireflies, cellular systems, and evolware

ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
A morphogenetic evolutionary system: phylogenesis of the POEtic circuit

ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
Routing of embryonic arrays using genetic algorithms

ICES'03 Proceedings of the 5th international conference on Evolvable systems: from biology to hardware
Construction-based and inspection-based universal self-replication

ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
MOVE processors that self-replicate and differentiate

BioADIT'06 Proceedings of the Second international conference on Biologically Inspired Approaches to Advanced Information Technology
The data-and-signals cellular automaton and its application to growing structures

Artificial Life

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this article, we present the BioWall, a giant reconfigurable computing tissue developed to implement machines according to the principles of our Embryonics (embryonic electronics) project. The BioWall's size and features are designed for public exhibition, but at the sametime it represents an invaluable research tool, particularly since its complete programmability and cellular structure are extremely well adapted to the implementation of many different kinds of bio-inspired systems.To illustrate these capabilities, we present a set of applications that range over many diverse sources of biological inspiration, from Embryonics' ontogenetic systems, through epigenetic artificial neural networks, to phylogenetic evolving hardware. All these applicationshave been fully implemented and tested in hardware on the BioWall.