Jörg Beichter

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A general purpose neurocomputer, SYNAPSE-1, which exhibits a multiprocessor and memory architecture is presented. It offers wide flexibility with respect to neural algorithms and a speed-up factor of several orders of magnitude--including learning. The computational power is provided by a 2-dimensional systolic array of neural signal processors. Since the(More)
This paper describes the general purpose neurocom-puter SYNAPSE–1 which has been developed in cooperation between Siemens Munich and the University of Mannheim. This system contains one of the most powerful processors available for neural algorithms, the neuro signal processor MA16. The prototype system executes a test algorithm 8,000 times as fast as a(More)
  • C Baldanza, J Beichter, F Bisi, N Bruels, A Cotta-Ramusino, I D 'antone +5 others
  • 2007
A neural-network trigger has been developed for secondary vertex detection in the WA92 experiment at CERN, looking for the production of beauty particles. The module includes the Intel analog ETANN chip and the Siemens digital (16-bit I/O) MA16 microprocessor, working independently. The experimental trigger results have already been presented elsewhere.(More)
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