Literature DB >> 28809708

On Multiple AER Handshaking Channels Over High-Speed Bit-Serial Bidirectional LVDS Links With Flow-Control and Clock-Correction on Commercial FPGAs for Scalable Neuromorphic Systems.

Amirreza Yousefzadeh1, Miroslaw Jablonski1, Taras Iakymchuk2, Alejandro Linares-Barranco3, Alfredo Rosado2, Luis A Plana4, Steve Temple4, Teresa Serrano-Gotarredona1, Steve B Furber4, Bernabe Linares-Barranco1.   

Abstract

Address event representation (AER) is a widely employed asynchronous technique for interchanging "neural spikes" between different hardware elements in neuromorphic systems. Each neuron or cell in a chip or a system is assigned an address (or ID), which is typically communicated through a high-speed digital bus, thus time-multiplexing a high number of neural connections. Conventional AER links use parallel physical wires together with a pair of handshaking signals (request and acknowledge). In this paper, we present a fully serial implementation using bidirectional SATA connectors with a pair of low-voltage differential signaling (LVDS) wires for each direction. The proposed implementation can multiplex a number of conventional parallel AER links for each physical LVDS connection. It uses flow control, clock correction, and byte alignment techniques to transmit 32-bit address events reliably over multiplexed serial connections. The setup has been tested using commercial Spartan6 FPGAs attaining a maximum event transmission speed of 75 Meps (Mega events per second) for 32-bit events at a line rate of 3.0 Gbps. Full HDL codes (vhdl/verilog) and example demonstration codes for the SpiNNaker platform will be made available.

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Year:  2017        PMID: 28809708     DOI: 10.1109/TBCAS.2017.2717341

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  2 in total

1.  A Configurable Event-Driven Convolutional Node with Rate Saturation Mechanism for Modular ConvNet Systems Implementation.

Authors:  Luis A Camuñas-Mesa; Yaisel L Domínguez-Cordero; Alejandro Linares-Barranco; Teresa Serrano-Gotarredona; Bernabé Linares-Barranco
Journal:  Front Neurosci       Date:  2018-02-20       Impact factor: 4.677

2.  ED-BioRob: A Neuromorphic Robotic Arm With FPGA-Based Infrastructure for Bio-Inspired Spiking Motor Controllers.

Authors:  Alejandro Linares-Barranco; Fernando Perez-Peña; Angel Jimenez-Fernandez; Elisabetta Chicca
Journal:  Front Neurorobot       Date:  2020-11-30       Impact factor: 2.650

  2 in total

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