A High-Accuracy Digital Implementation of the Morris-Lecar Neuron With Variable Physiological Parameters
A highly accurate digital implementation of the Morris-Lecar neuron model is presented with the intended application of hardware acceleration for neuroscience simulation. The novel implementation employs the COordinate Rotation DIgital Computer (CORDIC) algorithm to create a fixed-point implementati...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on circuits and systems. II, Express briefs Express briefs, 2022-10, Vol.69 (10), p.4138-4142 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 4142 |
|---|---|
| container_issue | 10 |
| container_start_page | 4138 |
| container_title | IEEE transactions on circuits and systems. II, Express briefs |
| container_volume | 69 |
| creator | Leigh, Alexander J. Heidarpur, Moslem Mirhassani, Mitra |
| description | A highly accurate digital implementation of the Morris-Lecar neuron model is presented with the intended application of hardware acceleration for neuroscience simulation. The novel implementation employs the COordinate Rotation DIgital Computer (CORDIC) algorithm to create a fixed-point implementation that is not only very accurate but requires low digital hardware resources. The accuracy exceeds that of the current state-of-the-art, requires fewer hardware resources to implement, and operates at a higher maximum clock frequency. The design is validated on FPGA and a normalized RMSE of 0.2039 is achieved at a maximum clock frequency of 378.07MHz. |
| doi_str_mv | 10.1109/TCSII.2022.3187623 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_crossref_primary_10_1109_TCSII_2022_3187623</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9812745</ieee_id><sourcerecordid>2717162067</sourcerecordid><originalsourceid>FETCH-LOGICAL-c225t-42c37b31c19ef509e3151f0b6984ef38cc5dbee2034d9a29c309d57f291aba883</originalsourceid><addsrcrecordid>eNo9kMtOwzAQRS0EEqXwA7CxxDrFjziOl1V5NFKBShRYWo47aVylTbGdRf-elFasZqS55450ELqlZEQpUQ-LyUdRjBhhbMRpLjPGz9CACpEnXCp6fthTlUiZykt0FcKaEKYIZwNUj_HUrepkbG3njd3jR7dy0TS42Owa2MA2mujaLW4rHGvAr633LiQzsMbjN-h8f_p2scZfxjtTNoDn9T64tmlXzvYtc-PNBiL4cI0uKtMEuDnNIfp8flpMpsns_aWYjGeJZUzEJGWWy5JTSxVUgijgVNCKlJnKU6h4bq1YlgCM8HSpDFOWE7UUsmKKmtLkOR-i-2Pvzrc_HYSo123nt_1LzSSVNGMkk32KHVPWtyF4qPTOu43xe02JPhjVf0b1wag-Ge2huyPkAOAfUDllMhX8F63gcpQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2717162067</pqid></control><display><type>article</type><title>A High-Accuracy Digital Implementation of the Morris-Lecar Neuron With Variable Physiological Parameters</title><source>IEEE/IET Electronic Library (IEL)</source><creator>Leigh, Alexander J. ; Heidarpur, Moslem ; Mirhassani, Mitra</creator><creatorcontrib>Leigh, Alexander J. ; Heidarpur, Moslem ; Mirhassani, Mitra</creatorcontrib><description>A highly accurate digital implementation of the Morris-Lecar neuron model is presented with the intended application of hardware acceleration for neuroscience simulation. The novel implementation employs the COordinate Rotation DIgital Computer (CORDIC) algorithm to create a fixed-point implementation that is not only very accurate but requires low digital hardware resources. The accuracy exceeds that of the current state-of-the-art, requires fewer hardware resources to implement, and operates at a higher maximum clock frequency. The design is validated on FPGA and a normalized RMSE of 0.2039 is achieved at a maximum clock frequency of 378.07MHz.</description><identifier>ISSN: 1549-7747</identifier><identifier>EISSN: 1558-3791</identifier><identifier>DOI: 10.1109/TCSII.2022.3187623</identifier><identifier>CODEN: ITCSFK</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Accuracy ; Algorithms ; Biological system modeling ; Calcium ; Computational modeling ; Digital computers ; FPGA ; Hardware ; Integrated circuit modeling ; Mathematical models ; morris-lecar neuron ; neuromorphic hardware ; Neurons ; Spiking neurons</subject><ispartof>IEEE transactions on circuits and systems. II, Express briefs, 2022-10, Vol.69 (10), p.4138-4142</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c225t-42c37b31c19ef509e3151f0b6984ef38cc5dbee2034d9a29c309d57f291aba883</citedby><cites>FETCH-LOGICAL-c225t-42c37b31c19ef509e3151f0b6984ef38cc5dbee2034d9a29c309d57f291aba883</cites><orcidid>0000-0002-9098-4650 ; 0000-0001-8512-6427</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9812745$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9812745$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Leigh, Alexander J.</creatorcontrib><creatorcontrib>Heidarpur, Moslem</creatorcontrib><creatorcontrib>Mirhassani, Mitra</creatorcontrib><title>A High-Accuracy Digital Implementation of the Morris-Lecar Neuron With Variable Physiological Parameters</title><title>IEEE transactions on circuits and systems. II, Express briefs</title><addtitle>TCSII</addtitle><description>A highly accurate digital implementation of the Morris-Lecar neuron model is presented with the intended application of hardware acceleration for neuroscience simulation. The novel implementation employs the COordinate Rotation DIgital Computer (CORDIC) algorithm to create a fixed-point implementation that is not only very accurate but requires low digital hardware resources. The accuracy exceeds that of the current state-of-the-art, requires fewer hardware resources to implement, and operates at a higher maximum clock frequency. The design is validated on FPGA and a normalized RMSE of 0.2039 is achieved at a maximum clock frequency of 378.07MHz.</description><subject>Accuracy</subject><subject>Algorithms</subject><subject>Biological system modeling</subject><subject>Calcium</subject><subject>Computational modeling</subject><subject>Digital computers</subject><subject>FPGA</subject><subject>Hardware</subject><subject>Integrated circuit modeling</subject><subject>Mathematical models</subject><subject>morris-lecar neuron</subject><subject>neuromorphic hardware</subject><subject>Neurons</subject><subject>Spiking neurons</subject><issn>1549-7747</issn><issn>1558-3791</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMtOwzAQRS0EEqXwA7CxxDrFjziOl1V5NFKBShRYWo47aVylTbGdRf-elFasZqS55450ELqlZEQpUQ-LyUdRjBhhbMRpLjPGz9CACpEnXCp6fthTlUiZykt0FcKaEKYIZwNUj_HUrepkbG3njd3jR7dy0TS42Owa2MA2mujaLW4rHGvAr633LiQzsMbjN-h8f_p2scZfxjtTNoDn9T64tmlXzvYtc-PNBiL4cI0uKtMEuDnNIfp8flpMpsns_aWYjGeJZUzEJGWWy5JTSxVUgijgVNCKlJnKU6h4bq1YlgCM8HSpDFOWE7UUsmKKmtLkOR-i-2Pvzrc_HYSo123nt_1LzSSVNGMkk32KHVPWtyF4qPTOu43xe02JPhjVf0b1wag-Ge2huyPkAOAfUDllMhX8F63gcpQ</recordid><startdate>20221001</startdate><enddate>20221001</enddate><creator>Leigh, Alexander J.</creator><creator>Heidarpur, Moslem</creator><creator>Mirhassani, Mitra</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-9098-4650</orcidid><orcidid>https://orcid.org/0000-0001-8512-6427</orcidid></search><sort><creationdate>20221001</creationdate><title>A High-Accuracy Digital Implementation of the Morris-Lecar Neuron With Variable Physiological Parameters</title><author>Leigh, Alexander J. ; Heidarpur, Moslem ; Mirhassani, Mitra</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c225t-42c37b31c19ef509e3151f0b6984ef38cc5dbee2034d9a29c309d57f291aba883</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Accuracy</topic><topic>Algorithms</topic><topic>Biological system modeling</topic><topic>Calcium</topic><topic>Computational modeling</topic><topic>Digital computers</topic><topic>FPGA</topic><topic>Hardware</topic><topic>Integrated circuit modeling</topic><topic>Mathematical models</topic><topic>morris-lecar neuron</topic><topic>neuromorphic hardware</topic><topic>Neurons</topic><topic>Spiking neurons</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Leigh, Alexander J.</creatorcontrib><creatorcontrib>Heidarpur, Moslem</creatorcontrib><creatorcontrib>Mirhassani, Mitra</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005–Present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998–Present</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on circuits and systems. II, Express briefs</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Leigh, Alexander J.</au><au>Heidarpur, Moslem</au><au>Mirhassani, Mitra</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A High-Accuracy Digital Implementation of the Morris-Lecar Neuron With Variable Physiological Parameters</atitle><jtitle>IEEE transactions on circuits and systems. II, Express briefs</jtitle><stitle>TCSII</stitle><date>2022-10-01</date><risdate>2022</risdate><volume>69</volume><issue>10</issue><spage>4138</spage><epage>4142</epage><pages>4138-4142</pages><issn>1549-7747</issn><eissn>1558-3791</eissn><coden>ITCSFK</coden><abstract>A highly accurate digital implementation of the Morris-Lecar neuron model is presented with the intended application of hardware acceleration for neuroscience simulation. The novel implementation employs the COordinate Rotation DIgital Computer (CORDIC) algorithm to create a fixed-point implementation that is not only very accurate but requires low digital hardware resources. The accuracy exceeds that of the current state-of-the-art, requires fewer hardware resources to implement, and operates at a higher maximum clock frequency. The design is validated on FPGA and a normalized RMSE of 0.2039 is achieved at a maximum clock frequency of 378.07MHz.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TCSII.2022.3187623</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0002-9098-4650</orcidid><orcidid>https://orcid.org/0000-0001-8512-6427</orcidid></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1549-7747 |
| ispartof | IEEE transactions on circuits and systems. II, Express briefs, 2022-10, Vol.69 (10), p.4138-4142 |
| issn | 1549-7747 1558-3791 |
| language | eng |
| recordid | cdi_crossref_primary_10_1109_TCSII_2022_3187623 |
| source | IEEE/IET Electronic Library (IEL) |
| subjects | Accuracy Algorithms Biological system modeling Calcium Computational modeling Digital computers FPGA Hardware Integrated circuit modeling Mathematical models morris-lecar neuron neuromorphic hardware Neurons Spiking neurons |
| title | A High-Accuracy Digital Implementation of the Morris-Lecar Neuron With Variable Physiological Parameters |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T16%3A14%3A19IST&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%20High-Accuracy%20Digital%20Implementation%20of%20the%20Morris-Lecar%20Neuron%20With%20Variable%20Physiological%20Parameters&rft.jtitle=IEEE%20transactions%20on%20circuits%20and%20systems.%20II,%20Express%20briefs&rft.au=Leigh,%20Alexander%20J.&rft.date=2022-10-01&rft.volume=69&rft.issue=10&rft.spage=4138&rft.epage=4142&rft.pages=4138-4142&rft.issn=1549-7747&rft.eissn=1558-3791&rft.coden=ITCSFK&rft_id=info:doi/10.1109/TCSII.2022.3187623&rft_dat=%3Cproquest_RIE%3E2717162067%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=2717162067&rft_id=info:pmid/&rft_ieee_id=9812745&rfr_iscdi=true |