• DocumentCode
    3493862
  • Title

    Neuroprocessing trough a new multi-device hybrid architecture

  • Author

    Fortuna, Luigi ; Frasca, Mattia

  • Author_Institution
    Dipt. di Ingegneria Elettrica Elettronica e del Sistemi, Univ. degli Studi di Catania
  • Volume
    2
  • fYear
    2005
  • fDate
    19-22 Sept. 2005
  • Lastpage
    652
  • Abstract
    The use of hybrid technologies creates the opportunity to combine nano-scale technologies, microelectronics and neuroscience in order to build devices for non-invasive stimulation and recording of cultured neural cells at nano-level. A hybrid neuro-electronic platform for neuroprocessing is proposed as a means to develop a new intelligent information system biologically inspired. The platform is designed to support both biological and artificial neural networks. In particular, in this work a hybrid system for culturing living cells has been designed that guarantees a reliable neuron-electrode connection and also their trapping inside the well; moreover the development of a digital artificial neural network of neurons has been designed and implemented by FPGA
  • Keywords
    bioelectric phenomena; biology computing; field programmable gate arrays; neural nets; psychology; FPGA; artificial neural networks; biological neural network; hybrid neuroelectronic platform; intelligent information system; microelectronics; multidevice hybrid architecture; nano-scale technologies; neuroprocessing; neuroscience; noninvasive stimulation; Artificial intelligence; Artificial neural networks; Cells (biology); Hybrid intelligent systems; Information systems; Microelectronics; Nanobioscience; Nanoscale devices; Neurons; Neuroscience;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies and Factory Automation, 2005. ETFA 2005. 10th IEEE Conference on
  • Conference_Location
    Catania
  • Print_ISBN
    0-7803-9401-1
  • Type

    conf

  • DOI
    10.1109/ETFA.2005.1612736
  • Filename
    1612736