• DocumentCode
    3661457
  • Title

    Si elegans: Hardware architecture and communications protocol

  • Author

    Pedro Machado;Kofi Appiah;T.M. McGinnity;John Wade;T.M. McGinnity

  • Author_Institution
    Computational Intelligence Laboratory, Nottingham Trent University - Clifton Campus, UK
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The hardware layer of the Si elegans EU FP7 project is a massively parallel architecture designed to accurately emulate the C. elegans nematode in biological real-time. The C. elegans nematode is one of the simplest and well characterized Biological Nervous Systems (BNS) yet many questions related to basic functions such as movement and learning remain unanswered. The hardware layer includes a Hardware Neural Network (HNN) composed of 302 FPGAs (one per neuron), a Hardware Muscle Network (HMN) composed of 27 FPGAs (one per 5 muscles) and one Interface Manager FPGA, which is physically connected through 2 Local Area Networks (LANs) and through an innovative 3D optical connectome. Neuron structures (gap junctions and synapses) and muscles are modelled in the design environment of the software layer and their simulation data (spikes, variable values and parameters) generate data packets sent across the Local Area Networks (LAN). Furthermore, a software layer gives the user a set of design tools giving the required flexibility and high level hardware abstraction to design custom neuronal models. In this paper the authors present an overview of the hardware layer, connections infrastructure and communication protocol.
  • Keywords
    "Computational modeling","Optical transmitters","Hardware","XML","Computational intelligence","High-speed optical techniques","Optical sensors"
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), 2015 International Joint Conference on
  • Electronic_ISBN
    2161-4407
  • Type

    conf

  • DOI
    10.1109/IJCNN.2015.7280771
  • Filename
    7280771