A bio-inspired two-layer mixed-signal flexible programmable chip for early vision
A bio-inspired model for an analog programmable array processor (APAP), based on studies on the vertebrate retina, has permitted the realization of complex programmable spatio-temporal dynamics in VLSI. This model mimics the way in which images are processed in the visual pathway, what renders a fea...
Gespeichert in:
| Veröffentlicht in: | IEEE transaction on neural networks and learning systems 2003-09, Vol.14 (5), p.1313-1336 |
|---|---|
| Hauptverfasser: | , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1336 |
|---|---|
| container_issue | 5 |
| container_start_page | 1313 |
| container_title | IEEE transaction on neural networks and learning systems |
| container_volume | 14 |
| creator | Galan, R.C. Jimenez-Garrido, F. Dominguez-Castro, R. Espejo, S. Roska, T. Rekeczky, C. Petras, I. Rodriguez-Vazquez, A. |
| description | A bio-inspired model for an analog programmable array processor (APAP), based on studies on the vertebrate retina, has permitted the realization of complex programmable spatio-temporal dynamics in VLSI. This model mimics the way in which images are processed in the visual pathway, what renders a feasible alternative for the implementation of early vision tasks in standard technologies. A prototype chip has been designed and fabricated in 0.5 /spl mu/m CMOS. It renders a computing power per silicon area and power consumption that is amongst the highest reported for a single chip. The details of the bio-inspired network model, the analog building block design challenges and trade-offs and some functional tests results are presented in this paper. |
| doi_str_mv | 10.1109/TNN.2003.816377 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_miscellaneous_28175920</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1243730</ieee_id><sourcerecordid>734249612</sourcerecordid><originalsourceid>FETCH-LOGICAL-c447t-8ecfe28365d9e58100489d81e305cee186e60ce227e6407ea0a1bad3de58dbe53</originalsourceid><addsrcrecordid>eNqF0c9LwzAUB_AgivPX2YMgxYOeOt9L0iY5juEvEEXQc0nbV81o15ls6v57MzYQPOgpCfnk5fG-jB0jDBHBXD4_PAw5gBhqzIVSW2wPjcQUwIjtuAeZpYZzNWD7IUwAUGaQ77IBai5lpmGPPY2S0vWpm4aZ81Qn888-be2SfNK5L6rT4F6ntk2alr5c2VIy8_2rt11nV4fqzc2SpvcJWd8ukw8XXD89ZDuNbQMdbdYD9nJ99Ty-Te8fb-7Go_u0klLNU01VQ1yLPKsNZRoBpDa1RhKQVUSoc8qhotg85RIUWbBY2lrUEdclZeKAXazrxpbeFxTmRedCRW1rp9QvQmEAc42o8V-phOTS5MijPP9Tco0qMxwiPPsFJ_3Cx0nFfzloJeLoI7pco8r3IXhqipl3nfXLAqFYxVfE-IpVfMU6vvjidFN2UXZU__hNXhGcrIEjop9rLoUSIL4BwP2dDw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>920873104</pqid></control><display><type>article</type><title>A bio-inspired two-layer mixed-signal flexible programmable chip for early vision</title><source>IEEE Electronic Library (IEL)</source><creator>Galan, R.C. ; Jimenez-Garrido, F. ; Dominguez-Castro, R. ; Espejo, S. ; Roska, T. ; Rekeczky, C. ; Petras, I. ; Rodriguez-Vazquez, A.</creator><creatorcontrib>Galan, R.C. ; Jimenez-Garrido, F. ; Dominguez-Castro, R. ; Espejo, S. ; Roska, T. ; Rekeczky, C. ; Petras, I. ; Rodriguez-Vazquez, A.</creatorcontrib><description>A bio-inspired model for an analog programmable array processor (APAP), based on studies on the vertebrate retina, has permitted the realization of complex programmable spatio-temporal dynamics in VLSI. This model mimics the way in which images are processed in the visual pathway, what renders a feasible alternative for the implementation of early vision tasks in standard technologies. A prototype chip has been designed and fabricated in 0.5 /spl mu/m CMOS. It renders a computing power per silicon area and power consumption that is amongst the highest reported for a single chip. The details of the bio-inspired network model, the analog building block design challenges and trade-offs and some functional tests results are presented in this paper.</description><identifier>ISSN: 1045-9227</identifier><identifier>ISSN: 2162-237X</identifier><identifier>EISSN: 1941-0093</identifier><identifier>EISSN: 2162-2388</identifier><identifier>DOI: 10.1109/TNN.2003.816377</identifier><identifier>PMID: 18244580</identifier><identifier>CODEN: ITNNEP</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Cellular neural networks ; Chip formation ; Chips ; CMOS technology ; Integrated circuit interconnections ; Networks ; Neural networks ; Prototypes ; Rendering (computer graphics) ; Retina ; Semiconductor device modeling ; Silicon ; Spatiotemporal phenomena ; Very large scale integration ; Vision</subject><ispartof>IEEE transaction on neural networks and learning systems, 2003-09, Vol.14 (5), p.1313-1336</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2003</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c447t-8ecfe28365d9e58100489d81e305cee186e60ce227e6407ea0a1bad3de58dbe53</citedby><cites>FETCH-LOGICAL-c447t-8ecfe28365d9e58100489d81e305cee186e60ce227e6407ea0a1bad3de58dbe53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1243730$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,777,781,793,27905,27906,54739</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1243730$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18244580$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Galan, R.C.</creatorcontrib><creatorcontrib>Jimenez-Garrido, F.</creatorcontrib><creatorcontrib>Dominguez-Castro, R.</creatorcontrib><creatorcontrib>Espejo, S.</creatorcontrib><creatorcontrib>Roska, T.</creatorcontrib><creatorcontrib>Rekeczky, C.</creatorcontrib><creatorcontrib>Petras, I.</creatorcontrib><creatorcontrib>Rodriguez-Vazquez, A.</creatorcontrib><title>A bio-inspired two-layer mixed-signal flexible programmable chip for early vision</title><title>IEEE transaction on neural networks and learning systems</title><addtitle>TNN</addtitle><addtitle>IEEE Trans Neural Netw</addtitle><description>A bio-inspired model for an analog programmable array processor (APAP), based on studies on the vertebrate retina, has permitted the realization of complex programmable spatio-temporal dynamics in VLSI. This model mimics the way in which images are processed in the visual pathway, what renders a feasible alternative for the implementation of early vision tasks in standard technologies. A prototype chip has been designed and fabricated in 0.5 /spl mu/m CMOS. It renders a computing power per silicon area and power consumption that is amongst the highest reported for a single chip. The details of the bio-inspired network model, the analog building block design challenges and trade-offs and some functional tests results are presented in this paper.</description><subject>Cellular neural networks</subject><subject>Chip formation</subject><subject>Chips</subject><subject>CMOS technology</subject><subject>Integrated circuit interconnections</subject><subject>Networks</subject><subject>Neural networks</subject><subject>Prototypes</subject><subject>Rendering (computer graphics)</subject><subject>Retina</subject><subject>Semiconductor device modeling</subject><subject>Silicon</subject><subject>Spatiotemporal phenomena</subject><subject>Very large scale integration</subject><subject>Vision</subject><issn>1045-9227</issn><issn>2162-237X</issn><issn>1941-0093</issn><issn>2162-2388</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqF0c9LwzAUB_AgivPX2YMgxYOeOt9L0iY5juEvEEXQc0nbV81o15ls6v57MzYQPOgpCfnk5fG-jB0jDBHBXD4_PAw5gBhqzIVSW2wPjcQUwIjtuAeZpYZzNWD7IUwAUGaQ77IBai5lpmGPPY2S0vWpm4aZ81Qn888-be2SfNK5L6rT4F6ntk2alr5c2VIy8_2rt11nV4fqzc2SpvcJWd8ukw8XXD89ZDuNbQMdbdYD9nJ99Ty-Te8fb-7Go_u0klLNU01VQ1yLPKsNZRoBpDa1RhKQVUSoc8qhotg85RIUWbBY2lrUEdclZeKAXazrxpbeFxTmRedCRW1rp9QvQmEAc42o8V-phOTS5MijPP9Tco0qMxwiPPsFJ_3Cx0nFfzloJeLoI7pco8r3IXhqipl3nfXLAqFYxVfE-IpVfMU6vvjidFN2UXZU__hNXhGcrIEjop9rLoUSIL4BwP2dDw</recordid><startdate>20030901</startdate><enddate>20030901</enddate><creator>Galan, R.C.</creator><creator>Jimenez-Garrido, F.</creator><creator>Dominguez-Castro, R.</creator><creator>Espejo, S.</creator><creator>Roska, T.</creator><creator>Rekeczky, C.</creator><creator>Petras, I.</creator><creator>Rodriguez-Vazquez, A.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>RIA</scope><scope>RIE</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QP</scope><scope>7QQ</scope><scope>7QR</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7TK</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20030901</creationdate><title>A bio-inspired two-layer mixed-signal flexible programmable chip for early vision</title><author>Galan, R.C. ; Jimenez-Garrido, F. ; Dominguez-Castro, R. ; Espejo, S. ; Roska, T. ; Rekeczky, C. ; Petras, I. ; Rodriguez-Vazquez, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c447t-8ecfe28365d9e58100489d81e305cee186e60ce227e6407ea0a1bad3de58dbe53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Cellular neural networks</topic><topic>Chip formation</topic><topic>Chips</topic><topic>CMOS technology</topic><topic>Integrated circuit interconnections</topic><topic>Networks</topic><topic>Neural networks</topic><topic>Prototypes</topic><topic>Rendering (computer graphics)</topic><topic>Retina</topic><topic>Semiconductor device modeling</topic><topic>Silicon</topic><topic>Spatiotemporal phenomena</topic><topic>Very large scale integration</topic><topic>Vision</topic><toplevel>online_resources</toplevel><creatorcontrib>Galan, R.C.</creatorcontrib><creatorcontrib>Jimenez-Garrido, F.</creatorcontrib><creatorcontrib>Dominguez-Castro, R.</creatorcontrib><creatorcontrib>Espejo, S.</creatorcontrib><creatorcontrib>Roska, T.</creatorcontrib><creatorcontrib>Rekeczky, C.</creatorcontrib><creatorcontrib>Petras, I.</creatorcontrib><creatorcontrib>Rodriguez-Vazquez, A.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>IEEE transaction on neural networks and learning systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Galan, R.C.</au><au>Jimenez-Garrido, F.</au><au>Dominguez-Castro, R.</au><au>Espejo, S.</au><au>Roska, T.</au><au>Rekeczky, C.</au><au>Petras, I.</au><au>Rodriguez-Vazquez, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A bio-inspired two-layer mixed-signal flexible programmable chip for early vision</atitle><jtitle>IEEE transaction on neural networks and learning systems</jtitle><stitle>TNN</stitle><addtitle>IEEE Trans Neural Netw</addtitle><date>2003-09-01</date><risdate>2003</risdate><volume>14</volume><issue>5</issue><spage>1313</spage><epage>1336</epage><pages>1313-1336</pages><issn>1045-9227</issn><issn>2162-237X</issn><eissn>1941-0093</eissn><eissn>2162-2388</eissn><coden>ITNNEP</coden><abstract>A bio-inspired model for an analog programmable array processor (APAP), based on studies on the vertebrate retina, has permitted the realization of complex programmable spatio-temporal dynamics in VLSI. This model mimics the way in which images are processed in the visual pathway, what renders a feasible alternative for the implementation of early vision tasks in standard technologies. A prototype chip has been designed and fabricated in 0.5 /spl mu/m CMOS. It renders a computing power per silicon area and power consumption that is amongst the highest reported for a single chip. The details of the bio-inspired network model, the analog building block design challenges and trade-offs and some functional tests results are presented in this paper.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>18244580</pmid><doi>10.1109/TNN.2003.816377</doi><tpages>24</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1045-9227 |
| ispartof | IEEE transaction on neural networks and learning systems, 2003-09, Vol.14 (5), p.1313-1336 |
| issn | 1045-9227 2162-237X 1941-0093 2162-2388 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_28175920 |
| source | IEEE Electronic Library (IEL) |
| subjects | Cellular neural networks Chip formation Chips CMOS technology Integrated circuit interconnections Networks Neural networks Prototypes Rendering (computer graphics) Retina Semiconductor device modeling Silicon Spatiotemporal phenomena Very large scale integration Vision |
| title | A bio-inspired two-layer mixed-signal flexible programmable chip for early vision |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T07%3A43%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20bio-inspired%20two-layer%20mixed-signal%20flexible%20programmable%20chip%20for%20early%20vision&rft.jtitle=IEEE%20transaction%20on%20neural%20networks%20and%20learning%20systems&rft.au=Galan,%20R.C.&rft.date=2003-09-01&rft.volume=14&rft.issue=5&rft.spage=1313&rft.epage=1336&rft.pages=1313-1336&rft.issn=1045-9227&rft.eissn=1941-0093&rft.coden=ITNNEP&rft_id=info:doi/10.1109/TNN.2003.816377&rft_dat=%3Cproquest_RIE%3E734249612%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=920873104&rft_id=info:pmid/18244580&rft_ieee_id=1243730&rfr_iscdi=true |