Physarum Chip: Growing Computers from Slime Mould View Homepage


Ontology type: schema:MonetaryGrant     


Grant Info

YEARS

2013-2016

FUNDING AMOUNT

2099984 EUR

ABSTRACT

We will design and fabricate a distributed biomorphic computing device built and operated by slime mould Physarum polycephalum. A Physarum chip is a network of processing elements made of the slime mould's protoplasmic tubes coated with conductive substances; the network is populated by living slime mould. A living network of protoplasmic tubes acts as an active non-linear transducer of information, while templates of tubes coated with conductor act as fast information channels.
The Physarum chip will have parallel inputs (optical, chemo- and electro-based) and outputs (electrical and optical). The Physarum chip will solve a wide range of computation tasks, including optimisation on graphs, computational geometry, robot control, logic and arithmetical computing. The slime mould-based implementation is a bio-physical model of future nano-chips based on biomorphic mineralisation.
We envisage that research and development centred on novel computing substrates, as self-assembled and fault-tolerant fungal networks will lead to a revolution in the bio-electronics and computer industry. Combined with conventional electronic components in a hybrid chip, Physarum networks will radically improve the performance of digital and analog circuits.
Taking into account the enormous and growing interest of research centres and commercial laboratories in the recent experimental implementations of chemical, molecular and biological computers, we can predict that in the next 20-30 years, networks of slime mould mineralised and/or coated with compound substances will become a widespread commodity and a very promising component of novel information processing circuits.
More... »

URL

http://cordis.europa.eu/project/rcn/105292_en.html

Related SciGraph Publications

  • 2019-03. Cellular automata modelling of slime mould actin network signalling in NATURAL COMPUTING
  • 2018. Discovering Boolean Gates in Slime Mould in INSPIRED BY NATURE
  • 2018. Slime Mould Inspired Models for Path Planning: Collective and Structural Approaches in SHORTEST PATH SOLVERS. FROM SOFTWARE TO WETWARE
  • 2017. On Hybrid Classical and Unconventional Computing for Guiding Collective Movement in ADVANCES IN UNCONVENTIONAL COMPUTING
  • 2017. Physarum Inspired Audio: From Oscillatory Sonification to Memristor Music in GUIDE TO UNCONVENTIONAL COMPUTING FOR MUSIC
  • 2016-04. Towards a Physarum learning chip in SCIENTIFIC REPORTS
  • 2016. Towards a Slime Mould-FPGA Interface in ADVANCES IN PHYSARUM MACHINES
  • 2016. Towards Collective Visual Perception in a Multi-agent Model of Slime Mould in ADVANCES IN PHYSARUM MACHINES
  • 2016. Physarum in Hybrid Electronic Devices in ADVANCES IN PHYSARUM MACHINES
  • 2016. Recolonisation of USA: Slime Mould on 3D Terrains in ADVANCES IN PHYSARUM MACHINES
  • 2016. On Creativity of Slime Mould in ADVANCES IN PHYSARUM MACHINES
  • 2016. Multi-agent Slime Mould Computing: Mechanisms, Applications and Advances in ADVANCES IN PHYSARUM MACHINES
  • 2016. Bodymetries. A Generative Projection Environment for Slime Mould and Humans in ADVANCES IN PHYSARUM MACHINES
  • 2015-12. Magnetic Nanoparticles-Loaded Physarum polycephalum: Directed Growth and Particles Distribution in INTERDISCIPLINARY SCIENCES: COMPUTATIONAL LIFE SCIENCES
  • 2015-09. Electrical Characterization of an Anisotropic System Based on Clay Nanotubes in BIONANOSCIENCE
  • 2014-03. Computation of the travelling salesman problem by a shrinking blob in NATURAL COMPUTING
  • 2014-03. On the Loading of Slime Mold Physarum polycephalum with Microparticles for Unconventional Computing Application in BIONANOSCIENCE
  • 2014. Organic Memristive Devices and Neuromorphic Circuits in MEMRISTOR NETWORKS
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