{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T18:04:47Z","timestamp":1743444287428},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Neur. Syst."],"published-print":{"date-parts":[[2000,6]]},"abstract":"<jats:p> The Pulse Coupled neural network, PCNN, is a biologically inspired neural net and it can be used in various image analysis applications, e.g. time-critical applications in the field of image pre-processing like segmentation, filtering, etc. A VHDL implementation of the PCNN targeting FPGA was undertaken and the results presented here. The implementation contains many interesting features. By pipelining the PCNN structure a very high throughput of 55 million neuron iterations per second could be achieved. By making the coefficients re-configurable during operation, a complete recognition system could be implemented on one, or maybe two, chip(s). Reconsidering the ranges and resolutions of the constants may save a lot of hardware, since the higher resolution requires larger multipliers, adders, memories etc. <\/jats:p>","DOI":"10.1142\/s0129065700000156","type":"journal-article","created":{"date-parts":[[2003,4,22]],"date-time":"2003-04-22T11:45:54Z","timestamp":1051011954000},"page":"171-177","source":"Crossref","is-referenced-by-count":9,"title":["IMPLEMENTATION OF A PULSE COUPLED NEURAL NETWORK IN FPGA"],"prefix":"10.1142","volume":"10","author":[{"given":"Joakim","family":"Waldemark","sequence":"first","affiliation":[{"name":"Optronic Consult i Norden AB, SE 193 27 Skellefte\u00e5, Sweden"}]},{"given":"Mikael","family":"Millberg","sequence":"additional","affiliation":[{"name":"Physics Dept, Royal Institute of Technology, SE 104 05 Stockholm, Sweden"}]},{"given":"Thomas","family":"Lindblad","sequence":"additional","affiliation":[{"name":"Physics Dept, Royal Institute of Technology, SE 104 05 Stockholm, Sweden"}]},{"given":"Karina","family":"Waldemark","sequence":"additional","affiliation":[{"name":"Physics Dept, Royal Institute of Technology, SE 104 05 Stockholm, Sweden"}]},{"given":"Vlatko","family":"Becanovic","sequence":"additional","affiliation":[{"name":"Physics Dept, Royal Institute of Technology, SE 104 05 Stockholm, Sweden"}]}],"member":"219","published-online":{"date-parts":[[2012,4,19]]},"container-title":["International Journal of Neural Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0129065700000156","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T21:06:50Z","timestamp":1565125610000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0129065700000156"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2000,6]]},"references-count":0,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2012,4,19]]},"published-print":{"date-parts":[[2000,6]]}},"alternative-id":["10.1142\/S0129065700000156"],"URL":"https:\/\/doi.org\/10.1142\/s0129065700000156","relation":{},"ISSN":["0129-0657","1793-6462"],"issn-type":[{"value":"0129-0657","type":"print"},{"value":"1793-6462","type":"electronic"}],"subject":[],"published":{"date-parts":[[2000,6]]}}}