Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models Article Swipe
Alexander Ladd
,
Kyung Geun Kim
,
J. Balewski
,
Kristofer E. Bouchard
,
Roy Ben‐Shalom
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3389/fninf.2022.882552
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3389/fninf.2022.882552
Single neuron models are fundamental for computational modeling of the brain's neuronal networks, and understanding how ion channel dynamics mediate neural function. A challenge in defining such models is determining biophysically realistic channel distributions. Here, we present an efficient, highly parallel evolutionary algorithm for developing such models, named NeuroGPU-EA . NeuroGPU-EA uses CPUs and GPUs concurrently to simulate and evaluate neuron membrane potentials with respect to multiple stimuli. We demonstrate a logarithmic cost for scaling the stimuli used in the fitting procedure. NeuroGPU-EA outperforms the typically used CPU based evolutionary algorithm by a factor of 10 on a series of scaling benchmarks. We report observed performance bottlenecks and propose mitigation strategies. Finally, we also discuss the potential of this method for efficient simulation and evaluation of electrophysiological waveforms.
Related Topics
Concepts
Computer science
Scaling
Benchmarking
Evolutionary algorithm
Algorithm
Logarithm
Function (biology)
Waveform
Artificial neural network
Membrane computing
Channel (broadcasting)
Artificial intelligence
Mathematics
Evolutionary biology
Computer network
Marketing
Biology
Radar
Business
Telecommunications
Mathematical analysis
Geometry
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fninf.2022.882552
- https://www.frontiersin.org/articles/10.3389/fninf.2022.882552/pdf
- OA Status
- gold
- Cited By
- 7
- References
- 79
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4283026181
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4283026181Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fninf.2022.882552Digital Object Identifier
- Title
-
Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal ModelsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-06-17Full publication date if available
- Authors
-
Alexander Ladd, Kyung Geun Kim, J. Balewski, Kristofer E. Bouchard, Roy Ben‐ShalomList of authors in order
- Landing page
-
https://doi.org/10.3389/fninf.2022.882552Publisher landing page
- PDF URL
-
https://www.frontiersin.org/articles/10.3389/fninf.2022.882552/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.frontiersin.org/articles/10.3389/fninf.2022.882552/pdfDirect OA link when available
- Concepts
-
Computer science, Scaling, Benchmarking, Evolutionary algorithm, Algorithm, Logarithm, Function (biology), Waveform, Artificial neural network, Membrane computing, Channel (broadcasting), Artificial intelligence, Mathematics, Evolutionary biology, Computer network, Marketing, Biology, Radar, Business, Telecommunications, Mathematical analysis, GeometryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
7Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 2, 2023: 1Per-year citation counts (last 5 years)
- References (count)
-
79Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4283026181 |
|---|---|
| doi | https://doi.org/10.3389/fninf.2022.882552 |
| ids.doi | https://doi.org/10.3389/fninf.2022.882552 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/35784184 |
| ids.openalex | https://openalex.org/W4283026181 |
| fwci | 1.12364639 |
| type | article |
| title | Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models |
| biblio.issue | |
| biblio.volume | 16 |
| biblio.last_page | 882552 |
| biblio.first_page | 882552 |
| topics[0].id | https://openalex.org/T10581 |
| topics[0].field.id | https://openalex.org/fields/28 |
| topics[0].field.display_name | Neuroscience |
| topics[0].score | 0.9997000098228455 |
| topics[0].domain.id | https://openalex.org/domains/1 |
| topics[0].domain.display_name | Life Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2805 |
| topics[0].subfield.display_name | Cognitive Neuroscience |
| topics[0].display_name | Neural dynamics and brain function |
| topics[1].id | https://openalex.org/T10423 |
| topics[1].field.id | https://openalex.org/fields/28 |
| topics[1].field.display_name | Neuroscience |
| topics[1].score | 0.996999979019165 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2804 |
| topics[1].subfield.display_name | Cellular and Molecular Neuroscience |
| topics[1].display_name | Neurobiology and Insect Physiology Research |
| topics[2].id | https://openalex.org/T10502 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9945999979972839 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2208 |
| topics[2].subfield.display_name | Electrical and Electronic Engineering |
| topics[2].display_name | Advanced Memory and Neural Computing |
| is_xpac | False |
| apc_list.value | 2950 |
| apc_list.currency | USD |
| apc_list.value_usd | 2950 |
| apc_paid.value | 2950 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 2950 |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.7690203189849854 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C99844830 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6771453022956848 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q102441924 |
| concepts[1].display_name | Scaling |
| concepts[2].id | https://openalex.org/C86251818 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6110084652900696 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q816754 |
| concepts[2].display_name | Benchmarking |
| concepts[3].id | https://openalex.org/C159149176 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5536280870437622 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q14489129 |
| concepts[3].display_name | Evolutionary algorithm |
| concepts[4].id | https://openalex.org/C11413529 |
| concepts[4].level | 1 |
| concepts[4].score | 0.5406553149223328 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[4].display_name | Algorithm |
| concepts[5].id | https://openalex.org/C39927690 |
| concepts[5].level | 2 |
| concepts[5].score | 0.533261239528656 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q11197 |
| concepts[5].display_name | Logarithm |
| concepts[6].id | https://openalex.org/C14036430 |
| concepts[6].level | 2 |
| concepts[6].score | 0.4268098473548889 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q3736076 |
| concepts[6].display_name | Function (biology) |
| concepts[7].id | https://openalex.org/C197424946 |
| concepts[7].level | 3 |
| concepts[7].score | 0.4255618751049042 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1165717 |
| concepts[7].display_name | Waveform |
| concepts[8].id | https://openalex.org/C50644808 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4254007935523987 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q192776 |
| concepts[8].display_name | Artificial neural network |
| concepts[9].id | https://openalex.org/C96011364 |
| concepts[9].level | 2 |
| concepts[9].score | 0.41753190755844116 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q6815122 |
| concepts[9].display_name | Membrane computing |
| concepts[10].id | https://openalex.org/C127162648 |
| concepts[10].level | 2 |
| concepts[10].score | 0.41554513573646545 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q16858953 |
| concepts[10].display_name | Channel (broadcasting) |
| concepts[11].id | https://openalex.org/C154945302 |
| concepts[11].level | 1 |
| concepts[11].score | 0.36380714178085327 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[11].display_name | Artificial intelligence |
| concepts[12].id | https://openalex.org/C33923547 |
| concepts[12].level | 0 |
| concepts[12].score | 0.1269291341304779 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[12].display_name | Mathematics |
| concepts[13].id | https://openalex.org/C78458016 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q840400 |
| concepts[13].display_name | Evolutionary biology |
| concepts[14].id | https://openalex.org/C31258907 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q1301371 |
| concepts[14].display_name | Computer network |
| concepts[15].id | https://openalex.org/C162853370 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q39809 |
| concepts[15].display_name | Marketing |
| concepts[16].id | https://openalex.org/C86803240 |
| concepts[16].level | 0 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[16].display_name | Biology |
| concepts[17].id | https://openalex.org/C554190296 |
| concepts[17].level | 2 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q47528 |
| concepts[17].display_name | Radar |
| concepts[18].id | https://openalex.org/C144133560 |
| concepts[18].level | 0 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q4830453 |
| concepts[18].display_name | Business |
| concepts[19].id | https://openalex.org/C76155785 |
| concepts[19].level | 1 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q418 |
| concepts[19].display_name | Telecommunications |
| concepts[20].id | https://openalex.org/C134306372 |
| concepts[20].level | 1 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q7754 |
| concepts[20].display_name | Mathematical analysis |
| concepts[21].id | https://openalex.org/C2524010 |
| concepts[21].level | 1 |
| concepts[21].score | 0.0 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q8087 |
| concepts[21].display_name | Geometry |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.7690203189849854 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/scaling |
| keywords[1].score | 0.6771453022956848 |
| keywords[1].display_name | Scaling |
| keywords[2].id | https://openalex.org/keywords/benchmarking |
| keywords[2].score | 0.6110084652900696 |
| keywords[2].display_name | Benchmarking |
| keywords[3].id | https://openalex.org/keywords/evolutionary-algorithm |
| keywords[3].score | 0.5536280870437622 |
| keywords[3].display_name | Evolutionary algorithm |
| keywords[4].id | https://openalex.org/keywords/algorithm |
| keywords[4].score | 0.5406553149223328 |
| keywords[4].display_name | Algorithm |
| keywords[5].id | https://openalex.org/keywords/logarithm |
| keywords[5].score | 0.533261239528656 |
| keywords[5].display_name | Logarithm |
| keywords[6].id | https://openalex.org/keywords/function |
| keywords[6].score | 0.4268098473548889 |
| keywords[6].display_name | Function (biology) |
| keywords[7].id | https://openalex.org/keywords/waveform |
| keywords[7].score | 0.4255618751049042 |
| keywords[7].display_name | Waveform |
| keywords[8].id | https://openalex.org/keywords/artificial-neural-network |
| keywords[8].score | 0.4254007935523987 |
| keywords[8].display_name | Artificial neural network |
| keywords[9].id | https://openalex.org/keywords/membrane-computing |
| keywords[9].score | 0.41753190755844116 |
| keywords[9].display_name | Membrane computing |
| keywords[10].id | https://openalex.org/keywords/channel |
| keywords[10].score | 0.41554513573646545 |
| keywords[10].display_name | Channel (broadcasting) |
| keywords[11].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[11].score | 0.36380714178085327 |
| keywords[11].display_name | Artificial intelligence |
| keywords[12].id | https://openalex.org/keywords/mathematics |
| keywords[12].score | 0.1269291341304779 |
| keywords[12].display_name | Mathematics |
| language | en |
| locations[0].id | doi:10.3389/fninf.2022.882552 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S179816892 |
| locations[0].source.issn | 1662-5196 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1662-5196 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Frontiers in Neuroinformatics |
| locations[0].source.host_organization | https://openalex.org/P4310320527 |
| locations[0].source.host_organization_name | Frontiers Media |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320527 |
| locations[0].source.host_organization_lineage_names | Frontiers Media |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.frontiersin.org/articles/10.3389/fninf.2022.882552/pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Frontiers in Neuroinformatics |
| locations[0].landing_page_url | https://doi.org/10.3389/fninf.2022.882552 |
| locations[1].id | pmid:35784184 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Frontiers in neuroinformatics |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/35784184 |
| locations[2].id | pmh:oai:osti.gov:2471140 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306402487 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) |
| locations[2].source.host_organization | https://openalex.org/I139351228 |
| locations[2].source.host_organization_name | Office of Scientific and Technical Information |
| locations[2].source.host_organization_lineage | https://openalex.org/I139351228 |
| locations[2].license | cc-by |
| locations[2].pdf_url | https://www.frontiersin.org/journals/neuroinformatics/articles/10.3389/fninf.2022.882552/pdf |
| locations[2].version | submittedVersion |
| locations[2].raw_type | |
| locations[2].license_id | https://openalex.org/licenses/cc-by |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | |
| locations[2].landing_page_url | https://www.osti.gov/biblio/2471140 |
| locations[3].id | pmh:oai:doaj.org/article:434ebc5e707f41d88d3d4c980f86890c |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S4306401280 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[3].source.host_organization | |
| locations[3].source.host_organization_name | |
| locations[3].license | cc-by-sa |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | article |
| locations[3].license_id | https://openalex.org/licenses/cc-by-sa |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Frontiers in Neuroinformatics, Vol 16 (2022) |
| locations[3].landing_page_url | https://doaj.org/article/434ebc5e707f41d88d3d4c980f86890c |
| locations[4].id | pmh:oai:escholarship.org:ark:/13030/qt0kc51444 |
| locations[4].is_oa | True |
| locations[4].source | |
| locations[4].license | cc-by |
| locations[4].pdf_url | |
| locations[4].version | submittedVersion |
| locations[4].raw_type | article |
| locations[4].license_id | https://openalex.org/licenses/cc-by |
| locations[4].is_accepted | False |
| locations[4].is_published | False |
| locations[4].raw_source_name | |
| locations[4].landing_page_url | https://escholarship.org/uc/item/0kc51444 |
| locations[5].id | pmh:oai:pubmedcentral.nih.gov:9248031 |
| locations[5].is_oa | True |
| locations[5].source.id | https://openalex.org/S2764455111 |
| locations[5].source.issn | |
| locations[5].source.type | repository |
| locations[5].source.is_oa | False |
| locations[5].source.issn_l | |
| locations[5].source.is_core | False |
| locations[5].source.is_in_doaj | False |
| locations[5].source.display_name | PubMed Central |
| locations[5].source.host_organization | https://openalex.org/I1299303238 |
| locations[5].source.host_organization_name | National Institutes of Health |
| locations[5].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[5].license | other-oa |
| locations[5].pdf_url | |
| locations[5].version | submittedVersion |
| locations[5].raw_type | Text |
| locations[5].license_id | https://openalex.org/licenses/other-oa |
| locations[5].is_accepted | False |
| locations[5].is_published | False |
| locations[5].raw_source_name | Front Neuroinform |
| locations[5].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/9248031 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5069478267 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-0999-1608 |
| authorships[0].author.display_name | Alexander Ladd |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I95457486 |
| authorships[0].affiliations[0].raw_affiliation_string | Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States |
| authorships[0].institutions[0].id | https://openalex.org/I95457486 |
| authorships[0].institutions[0].ror | https://ror.org/01an7q238 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I95457486 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | University of California, Berkeley |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Alexander Ladd |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States |
| authorships[1].author.id | https://openalex.org/A5047982189 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Kyung Geun Kim |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I95457486 |
| authorships[1].affiliations[0].raw_affiliation_string | Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States |
| authorships[1].institutions[0].id | https://openalex.org/I95457486 |
| authorships[1].institutions[0].ror | https://ror.org/01an7q238 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I95457486 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | University of California, Berkeley |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Kyung Geun Kim |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States |
| authorships[2].author.id | https://openalex.org/A5065230562 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-1899-6526 |
| authorships[2].author.display_name | J. Balewski |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I148283060, https://openalex.org/I4210151627 |
| authorships[2].affiliations[0].raw_affiliation_string | NERSC, Lawrence Berkeley National Laboratory, Berkeley, CA, United States |
| authorships[2].institutions[0].id | https://openalex.org/I148283060 |
| authorships[2].institutions[0].ror | https://ror.org/02jbv0t02 |
| authorships[2].institutions[0].type | facility |
| authorships[2].institutions[0].lineage | https://openalex.org/I1330989302, https://openalex.org/I148283060, https://openalex.org/I39565521 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | Lawrence Berkeley National Laboratory |
| authorships[2].institutions[1].id | https://openalex.org/I4210151627 |
| authorships[2].institutions[1].ror | https://ror.org/05v3mvq14 |
| authorships[2].institutions[1].type | facility |
| authorships[2].institutions[1].lineage | https://openalex.org/I1330989302, https://openalex.org/I148283060, https://openalex.org/I39565521, https://openalex.org/I4210151627 |
| authorships[2].institutions[1].country_code | US |
| authorships[2].institutions[1].display_name | National Energy Research Scientific Computing Center |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Jan Balewski |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | NERSC, Lawrence Berkeley National Laboratory, Berkeley, CA, United States |
| authorships[3].author.id | https://openalex.org/A5040319820 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-1974-4603 |
| authorships[3].author.display_name | Kristofer E. Bouchard |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I95457486 |
| authorships[3].affiliations[0].raw_affiliation_string | Helen Wills Neuroscience Institute & Redwood Center for Theoretical Neuroscience, University of California, Berkeley, Berkeley, CA, United States |
| authorships[3].affiliations[1].institution_ids | https://openalex.org/I148283060 |
| authorships[3].affiliations[1].raw_affiliation_string | Scientific Data Division and Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States |
| authorships[3].institutions[0].id | https://openalex.org/I148283060 |
| authorships[3].institutions[0].ror | https://ror.org/02jbv0t02 |
| authorships[3].institutions[0].type | facility |
| authorships[3].institutions[0].lineage | https://openalex.org/I1330989302, https://openalex.org/I148283060, https://openalex.org/I39565521 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | Lawrence Berkeley National Laboratory |
| authorships[3].institutions[1].id | https://openalex.org/I95457486 |
| authorships[3].institutions[1].ror | https://ror.org/01an7q238 |
| authorships[3].institutions[1].type | education |
| authorships[3].institutions[1].lineage | https://openalex.org/I95457486 |
| authorships[3].institutions[1].country_code | US |
| authorships[3].institutions[1].display_name | University of California, Berkeley |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Kristofer Bouchard |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Helen Wills Neuroscience Institute & Redwood Center for Theoretical Neuroscience, University of California, Berkeley, Berkeley, CA, United States, Scientific Data Division and Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States |
| authorships[4].author.id | https://openalex.org/A5012744171 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-5742-5769 |
| authorships[4].author.display_name | Roy Ben‐Shalom |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I84218800 |
| authorships[4].affiliations[0].raw_affiliation_string | Neurology Department, MIND Institute, University of California, Davis, Sacramento, CA, United States |
| authorships[4].institutions[0].id | https://openalex.org/I84218800 |
| authorships[4].institutions[0].ror | https://ror.org/05rrcem69 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I84218800 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | University of California, Davis |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Roy Ben-Shalom |
| authorships[4].is_corresponding | True |
| authorships[4].raw_affiliation_strings | Neurology Department, MIND Institute, University of California, Davis, Sacramento, CA, United States |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.frontiersin.org/articles/10.3389/fninf.2022.882552/pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10581 |
| primary_topic.field.id | https://openalex.org/fields/28 |
| primary_topic.field.display_name | Neuroscience |
| primary_topic.score | 0.9997000098228455 |
| primary_topic.domain.id | https://openalex.org/domains/1 |
| primary_topic.domain.display_name | Life Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2805 |
| primary_topic.subfield.display_name | Cognitive Neuroscience |
| primary_topic.display_name | Neural dynamics and brain function |
| related_works | https://openalex.org/W4238897586, https://openalex.org/W435179959, https://openalex.org/W2619091065, https://openalex.org/W2059640416, https://openalex.org/W1490753184, https://openalex.org/W2284465472, https://openalex.org/W2291782699, https://openalex.org/W1993948687, https://openalex.org/W3215385692, https://openalex.org/W2035316535 |
| cited_by_count | 7 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 4 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 2 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 1 |
| locations_count | 6 |
| best_oa_location.id | doi:10.3389/fninf.2022.882552 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S179816892 |
| best_oa_location.source.issn | 1662-5196 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1662-5196 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Frontiers in Neuroinformatics |
| best_oa_location.source.host_organization | https://openalex.org/P4310320527 |
| best_oa_location.source.host_organization_name | Frontiers Media |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320527 |
| best_oa_location.source.host_organization_lineage_names | Frontiers Media |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.frontiersin.org/articles/10.3389/fninf.2022.882552/pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Frontiers in Neuroinformatics |
| best_oa_location.landing_page_url | https://doi.org/10.3389/fninf.2022.882552 |
| primary_location.id | doi:10.3389/fninf.2022.882552 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S179816892 |
| primary_location.source.issn | 1662-5196 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1662-5196 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Frontiers in Neuroinformatics |
| primary_location.source.host_organization | https://openalex.org/P4310320527 |
| primary_location.source.host_organization_name | Frontiers Media |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320527 |
| primary_location.source.host_organization_lineage_names | Frontiers Media |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.frontiersin.org/articles/10.3389/fninf.2022.882552/pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Frontiers in Neuroinformatics |
| primary_location.landing_page_url | https://doi.org/10.3389/fninf.2022.882552 |
| publication_date | 2022-06-17 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W2912474515, https://openalex.org/W2516160193, https://openalex.org/W6682452906, https://openalex.org/W2501390808, https://openalex.org/W3042792338, https://openalex.org/W3107498102, https://openalex.org/W2085966630, https://openalex.org/W2581269619, https://openalex.org/W3210095783, https://openalex.org/W2101328707, https://openalex.org/W4231918628, https://openalex.org/W1576660662, https://openalex.org/W3009954736, https://openalex.org/W2536349837, https://openalex.org/W2798935938, https://openalex.org/W1500783943, https://openalex.org/W4214775604, https://openalex.org/W2966048283, https://openalex.org/W3094714191, https://openalex.org/W3007079029, https://openalex.org/W1781851852, https://openalex.org/W6959676783, https://openalex.org/W2100260601, https://openalex.org/W2100810674, https://openalex.org/W2090834033, https://openalex.org/W2159757276, https://openalex.org/W6680965528, https://openalex.org/W2159951683, https://openalex.org/W2087861759, https://openalex.org/W2151526882, https://openalex.org/W1820338024, https://openalex.org/W2073813638, https://openalex.org/W2807113328, https://openalex.org/W2949311293, https://openalex.org/W2164070717, https://openalex.org/W2065799397, https://openalex.org/W2059715474, https://openalex.org/W1985940938, https://openalex.org/W2000882268, https://openalex.org/W1988697288, https://openalex.org/W2904565241, https://openalex.org/W3137654048, https://openalex.org/W2971430069, https://openalex.org/W2165586822, https://openalex.org/W1969483526, https://openalex.org/W2004921550, https://openalex.org/W1921182138, https://openalex.org/W2599737116, https://openalex.org/W2097571405, https://openalex.org/W2510377302, https://openalex.org/W2057841956, https://openalex.org/W2132047598, https://openalex.org/W1969584830, https://openalex.org/W2012174917, https://openalex.org/W6803212393, https://openalex.org/W4245724229, https://openalex.org/W2114240651, https://openalex.org/W2412910640, https://openalex.org/W2162016003, https://openalex.org/W3098524404, https://openalex.org/W2114853176, https://openalex.org/W3188831673, https://openalex.org/W2187999691, https://openalex.org/W2014502281, https://openalex.org/W2147576365, https://openalex.org/W1836848727, https://openalex.org/W2801498385, https://openalex.org/W1688852951, https://openalex.org/W2012701167, https://openalex.org/W2338375276, https://openalex.org/W2114744526, https://openalex.org/W6766461726, https://openalex.org/W6635433731, https://openalex.org/W2071007053, https://openalex.org/W3099967679, https://openalex.org/W2129384397, https://openalex.org/W3004702456, https://openalex.org/W3121299021, https://openalex.org/W3100159717 |
| referenced_works_count | 79 |
| abstract_inverted_index.. | 49 |
| abstract_inverted_index.A | 22 |
| abstract_inverted_index.a | 70, 92, 97 |
| abstract_inverted_index.10 | 95 |
| abstract_inverted_index.We | 68, 102 |
| abstract_inverted_index.an | 37 |
| abstract_inverted_index.by | 91 |
| abstract_inverted_index.in | 24, 78 |
| abstract_inverted_index.is | 28 |
| abstract_inverted_index.of | 8, 94, 99, 117, 125 |
| abstract_inverted_index.on | 96 |
| abstract_inverted_index.to | 56, 65 |
| abstract_inverted_index.we | 35, 112 |
| abstract_inverted_index.CPU | 87 |
| abstract_inverted_index.and | 13, 53, 58, 107, 123 |
| abstract_inverted_index.are | 3 |
| abstract_inverted_index.for | 5, 43, 73, 120 |
| abstract_inverted_index.how | 15 |
| abstract_inverted_index.ion | 16 |
| abstract_inverted_index.the | 9, 75, 79, 84, 115 |
| abstract_inverted_index.CPUs | 52 |
| abstract_inverted_index.GPUs | 54 |
| abstract_inverted_index.also | 113 |
| abstract_inverted_index.cost | 72 |
| abstract_inverted_index.such | 26, 45 |
| abstract_inverted_index.this | 118 |
| abstract_inverted_index.used | 77, 86 |
| abstract_inverted_index.uses | 51 |
| abstract_inverted_index.with | 63 |
| abstract_inverted_index.Here, | 34 |
| abstract_inverted_index.based | 88 |
| abstract_inverted_index.named | 47 |
| abstract_inverted_index.Single | 0 |
| abstract_inverted_index.factor | 93 |
| abstract_inverted_index.highly | 39 |
| abstract_inverted_index.method | 119 |
| abstract_inverted_index.models | 2, 27 |
| abstract_inverted_index.neural | 20 |
| abstract_inverted_index.neuron | 1, 60 |
| abstract_inverted_index.report | 103 |
| abstract_inverted_index.series | 98 |
| abstract_inverted_index.brain's | 10 |
| abstract_inverted_index.channel | 17, 32 |
| abstract_inverted_index.discuss | 114 |
| abstract_inverted_index.fitting | 80 |
| abstract_inverted_index.mediate | 19 |
| abstract_inverted_index.models, | 46 |
| abstract_inverted_index.present | 36 |
| abstract_inverted_index.propose | 108 |
| abstract_inverted_index.respect | 64 |
| abstract_inverted_index.scaling | 74, 100 |
| abstract_inverted_index.stimuli | 76 |
| abstract_inverted_index.Finally, | 111 |
| abstract_inverted_index.defining | 25 |
| abstract_inverted_index.dynamics | 18 |
| abstract_inverted_index.evaluate | 59 |
| abstract_inverted_index.membrane | 61 |
| abstract_inverted_index.modeling | 7 |
| abstract_inverted_index.multiple | 66 |
| abstract_inverted_index.neuronal | 11 |
| abstract_inverted_index.observed | 104 |
| abstract_inverted_index.parallel | 40 |
| abstract_inverted_index.simulate | 57 |
| abstract_inverted_index.stimuli. | 67 |
| abstract_inverted_index.algorithm | 42, 90 |
| abstract_inverted_index.challenge | 23 |
| abstract_inverted_index.efficient | 121 |
| abstract_inverted_index.function. | 21 |
| abstract_inverted_index.networks, | 12 |
| abstract_inverted_index.potential | 116 |
| abstract_inverted_index.realistic | 31 |
| abstract_inverted_index.typically | 85 |
| abstract_inverted_index.developing | 44 |
| abstract_inverted_index.efficient, | 38 |
| abstract_inverted_index.evaluation | 124 |
| abstract_inverted_index.mitigation | 109 |
| abstract_inverted_index.potentials | 62 |
| abstract_inverted_index.procedure. | 81 |
| abstract_inverted_index.simulation | 122 |
| abstract_inverted_index.waveforms. | 127 |
| abstract_inverted_index.NeuroGPU-EA | 48, 50, 82 |
| abstract_inverted_index.benchmarks. | 101 |
| abstract_inverted_index.bottlenecks | 106 |
| abstract_inverted_index.demonstrate | 69 |
| abstract_inverted_index.determining | 29 |
| abstract_inverted_index.fundamental | 4 |
| abstract_inverted_index.logarithmic | 71 |
| abstract_inverted_index.outperforms | 83 |
| abstract_inverted_index.performance | 105 |
| abstract_inverted_index.strategies. | 110 |
| abstract_inverted_index.concurrently | 55 |
| abstract_inverted_index.evolutionary | 41, 89 |
| abstract_inverted_index.biophysically | 30 |
| abstract_inverted_index.computational | 6 |
| abstract_inverted_index.understanding | 14 |
| abstract_inverted_index.distributions. | 33 |
| abstract_inverted_index.electrophysiological | 126 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5069478267, https://openalex.org/A5012744171 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I84218800, https://openalex.org/I95457486 |
| citation_normalized_percentile.value | 0.71117045 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |