Transport-Independent Protocols for Universal AER Communications

Alexander Rast, Alan B Stokes, Sergio Davies, Samantha V Adams, Himanshu Akolkar, David R Lester, Chiara Bartolozzi, Angelo Cangelosi, Steve Furber

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The emergence of Address-Event Representation (AER) as a general communications method across a large variety of neural devices suggests that they might be made interoperable. If there were a standard AER interface, systems could communicate using native AER signalling, allowing the construction of large-scale, real-time, heterogeneous neural systems. We propose a transport-agnostic AER protocol that permits direct bidirectional event communications between systems over Ethernet, and demonstrate practical implementations that connect a neuromimetic chip: SpiNNaker, both to standard host PCs and to real-time robotic systems. The protocol specifies a header and packet format that supports a variety of different possible packet types while coping with questions of data alignment, time sequencing, and packet compression. Such a model creates a flexible solution either for real-time communications between neural devices or for live spike I/O and visualisation in a host PC. With its standard physical layer and flexible protocol, the specification provides a prototype for AER protocol standardisation that is at once compatible with legacy systems and expressive enough for future very-large-scale neural systems.
Original languageEnglish
Title of host publicationNeural Information Processing
Place of PublicationSpringer International Publishing Switzerland
PublisherSpringer Nature
Pages675-684
Number of pages10
Volume9492
ISBN (Print)978-3-319-26560-5
DOIs
Publication statusPublished - 18 Nov 2015
Event22nd International Conference, ICONIP 2015, Proceedings -
Duration: 9 Nov 201512 Nov 2015

Publication series

NameLecture Notes in Computer Science

Conference

Conference22nd International Conference, ICONIP 2015, Proceedings
Period9/11/1512/11/15

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