vlsi implementation of a 2.8 gevent/s packet based aer interface with routing and event sorting functionality

Clicks: 163
ID: 185447
2011
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #367 of 403 articles by views in Journal of enzyme inhibition and medicinal chemistry

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 403 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
State-of-the-art large scale neuromorphic systems require sophisticated spike event communication between units of the neural network. We present a high-speed communication infrastructure for a waferscale neuromorphic system, based on application-specific neuromorphic communication ICs in an FPGA-maintained environment. The ICs implement configurable axonal delays, as required for certain types of dynamic processing or for emulating spike based learning among distant cortical areas. Measurements are presented which show the efficacy of these delays in influencing behaviour of neuromorphic benchmarks. The specialized, dedicated AER communication in most current systems requires separate, low-bandwidth configuration channels. In contrast, the configuration of the waferscale neuromorphic system is also handled by the digital packet-based pulse channel, which transmits configuration data at the full bandwidth otherwise used for pulse transmission. The overall so-called pulse communication subgroup (ICs and FPGA) delivers a factor 25-50 more event transmission rate than other current neuromorphic communication infrastructures.
Reference Key
escholze2011frontiersvlsi Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Stefan eScholze;Stefan eSchiefer;Johannes ePartzsch;Stephan eHartmann;Christian Georg Mayr;Sebastian eHöppner;Holger eEisenreich;Stephan eHenker;Bernhard eVogginger;Rene eSchüffny
Journal Journal of enzyme inhibition and medicinal chemistry
Year 2011
DOI
10.3389/fnins.2011.00117
URL
http://journal.frontiersin.org/Journal/10.3389/fnins.2011.00117/full
Keywords
neuropsychiatry biological psychiatry

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.