Now showing items 1-4 of 4

    • AER-SRT: scalable spike distribution by means of synchronous serial ring topology address event representation 

      Dorta Pérez, Silvestre Taho; Zapata Rodríguez, Mireya; Madrenas Boadas, Jordi; Sánchez Rivera, Giovanny (2016-01-01)
      Open Access
      Given the massive number of interconnects in Spiking Neural Networks (SNNs), distributing spikes effciently becomes a critical issue for the efficient hardware emulation of large-scale SNNs. In this work, the AER-SRT ...
    • Hardware-software co-design for efficient and scalable real-time emulation of SNNs on the edge 

      Oltra Oltra, Josep Angel; Madrenas Boadas, Jordi; Zapata Rodríguez, Mireya; Vallejo Mancero, Bernardo Javier; Mata Hernández, Diana; Sato, Shigeo (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Conference report
      Restricted access - publisher's policy
      This paper introduces a novel workflow for Distributed Spiking Neural Network Architecture (DSNA). As such, the hardware implementation of Single Instruction Multiple Data (SIMD)-based Spiking Neural Network (SNN) requires ...
    • Macroporous silicon for high-capacitance devices using metal electrodes 

      Vega Bru, Didac; Reina Marsinyach, Jordi; Zapata Rodríguez, Mireya; Pavón Urbano, Ramón; Rodríguez Martínez, Ángel (Universitat de València, 2014)
      Conference lecture
      Open Access
    • SNAVA—A real-time multi-FPGA multi-model spiking neural network simulation architecture 

      Sripad T A, Athul; Sánchez Rivera, Giovanny; Zapata Rodríguez, Mireya; Pirrone, Vito; Dorta Pérez, Silvestre Taho; Cambria, Salvatore; Marti, Albert; Krishnamourthy, Karthikeyan; Madrenas Boadas, Jordi (2018-01-01)
      Open Access
      Spiking Neural Networks (SNN) for Versatile Applications (SNAVA) simulation platform is a scalable and programmable parallel architecture that supports real-time, large-scale, multi-model SNN computation. This parallel ...