The Perplexus bio-inspired reconfigurable circuit

Upegui, Andrés; Thoma, Yann; Sánchez, Eduardo García; Pérez-Uribe, Andrés; Moreno, Juan Manuel; Madrenas, Jordi

doi:10.1109/ahs.2007.105

Cited by 52 publications

(28 citation statements)

References 14 publications

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“…Taking into account the differences between real world, biological and digital systems, the Logic Systems Laboratory from Swiss Federal Institute of Technology, EPFL Lausanne, developed a bio-inspired system architecture, founded on four level of organizing, similar to figure 1 [4], [5]. This is a POE-type (Phylogeny, Ontogeny and Epigenesis) embryonic system developed in analogy with the evolutionary processes of biological systems.…”

Section: Embryonic Systems Development Strategiesmentioning

confidence: 99%

See 1 more Smart Citation

Modeling And Simulation Of Embryonic Hardware Structures Designed On FPGA-based Artificial Cell Network Topologies

Szász

Chindris

Szabó

2009

ECMS 2009 Proceedings Edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel Pedrera

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-The cell-based structure, which makes up the majority of biological organisms, involve nearly perfect selforganization, self-reproduction (multiplying), and faulttolerance properties in a well organized hierarchical mechanism. By adapting these mechanisms and capabilities from nature, scientific approaches have helped researches understand related phenomena and associated with principles to engine complex novel digital systems and improve their capability. Founded by these observations, the paper is focused on computer-aided modeling and simulation of embryonic hardware configurations designed on FPGA-based artificial cell network topologies. Own developed artificial cell model and artificial organism models are proposed, as basic components of a four level embryonic hardware structures. These models are careful tested through computer-aided investigations, using a specially developed software toolkit designed for VLSI systems real-time simulation operations.

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Section: Embryonic Systems Development Strategiesmentioning

confidence: 99%

“…Therefore terms like artificial molecule, artificial cell and artificial organism are key concepts in developing and implementing embryonic hardware systems [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Modeling And Simulation Of Embryonic Hardware Structures Designed On FPGA-based Artificial Cell Network Topologies

Szász

Chindris

Szabó

2009

ECMS 2009 Proceedings Edited by J. Otamendi, A. Bargiela, J. L. Montes, L. M. Doncel Pedrera

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“…Finally, Epigenesis (E) is concerned with learning and adaptation processes (for example nervous and immune system, etc.) [31], [32].…”

Section: The Bio-inspired Control Systemmentioning

confidence: 99%

Fault Tolerant Bio-Inspired System Controlled Modular Switched Reluctance Machine

et al. 2014

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Original scientific paperFault tolerance is an obligatory feature in safety critical applications (aeronautical, aerospace, medical and military applications, power plants, etc.), where loss of life, environmental disasters, equipment destructions or unplanned downtimes must be avoided. For such applications, a novel bio-inspired motion control system is proposed. All its three components (the switched reluctance machine, the power converter and the control system) are designed to be as fault tolerant as possible. This paper describes all these three fault tolerant components: the bio-inspired control system having self-healing capabilities, the power converter with an extra leg and the fault tolerant modular machine. The theoretical expectations and simulation results are validated by means of laboratory experiments.

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“…Several research groups have focused on this area for many years, resulting in novel bio-inspired architectures such as the POEtic tissue [2] and the Ubichip of Perplexus project [3], as well as formalisms such as PI-Calculus, Bi-Graphs [4] and Brane Computing [5]. Systemic computation is a similar attempt to exploit desirable natural properties such as parallelism within a computer, developed in 2005 [1].…”

Section: Introductionmentioning

confidence: 99%

Systemic Computation Using Graphics Processors

Rouhipour

Bentley

Shayani

2010

Evolvable Systems: From Biology to Hardware

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Abstract. Previous work created the systemic computer -a model of computation designed to exploit many natural properties observed in biological systems, including parallelism. The approach has been proven through two existing implementations and many biological models and visualizations. However to date the systemic computer implementations have all been sequential simulations that do not exploit the true potential of the model. In this paper the first parallel implementation of systemic computation is introduced. The GPU Systemic Computation Architecture is the first implementation that enables parallel systemic computation by exploiting multiple cores available in graphics processors. Comparisons with the serial implementation when running a genetic algorithm at different scales show that as the number of systems increases, the parallel architecture is several hundred times faster than the existing implementations, making it feasible to investigate systemic models of more complex biological systems.

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The Perplexus bio-inspired reconfigurable circuit

Cited by 52 publications

References 14 publications

Modeling And Simulation Of Embryonic Hardware Structures Designed On FPGA-based Artificial Cell Network Topologies

Modeling And Simulation Of Embryonic Hardware Structures Designed On FPGA-based Artificial Cell Network Topologies

Fault Tolerant Bio-Inspired System Controlled Modular Switched Reluctance Machine

Systemic Computation Using Graphics Processors

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