Now showing items 1-4 of 4

  • A digital memristor emulator for FPGA-based artificial neural networks 

    Vourkas, Ioanis; Abusleme, A.; Ntinas, V.; Sirakoulis, Georgios Ch.; Rubio Sola, Jose Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Conference report
    Restricted access - publisher's policy
    FPGAs are reconfigurable electronic platforms, well-suited to implement complex artificial neural networks (ANNs). To this end, the compact hardware (HW) implementation of artificial synapses is an important step to obtain ...
  • Coupled physarum-inspired memristor oscillators for neuron-like operations 

    Ntinas, Vasileios; Vourkas, Ioannis; Sirakoulis, Georgios Ch.; Adamatzky, Andrew; Rubio Sola, Jose Antonio (2018)
    Conference report
    Open Access
    Unconventional computing has been studied intensively, even after the appearance of CMOS technology. Currently, it has returned to the spotlight because CMOS is about to reach its physical limits, given that the constant ...
  • Heterogeneous memristive crossbar for in-memory computing 

    Papandroulidakis, Georgios; Vourkas, Ioanis; Sirakoulis, Georgios Ch.; Rubio Sola, Jose Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Conference report
    Open Access
    It's been quite a while since scientists are seeking for the ancestor of von Neumann computing architecture. Among the most promising candidates, memristor demonstrates advantageous characteristics, which open new pathways ...
  • Memristive cellular automata for modeling of epileptic brain activity 

    Karamani, Rafallia; Fyrigos, Iosif; Ntinas, Vasileios; Vourkas, Ioannis; Sirakoulis, Georgios Ch.; Rubio Sola, Jose Antonio (2018)
    Conference report
    Open Access
    Cellular Automata (CA) is a nature-inspired and widespread computational model which is based on the collective and emergent parallel computing capability of units (cells) locally interconnected in an abstract brain-like ...