Corrigendum: Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism.

homeostatic plasticity learning memory scalable structural plasticity

Journal

Frontiers in neuroinformatics
ISSN: 1662-5196
Titre abrégé: Front Neuroinform
Pays: Switzerland
ID NLM: 101477957

Informations de publication

Date de publication:
2024
Historique:
received: 08 07 2024
accepted: 11 07 2024
medline: 26 8 2024
pubmed: 26 8 2024
entrez: 26 8 2024
Statut: epublish

Résumé

[This corrects the article DOI: 10.3389/fninf.2024.1323203.].

Identifiants

DOI: 10.3389/fninf.2024.1461597 PMID: 39184996 PMC: PMC11342446
pubmed: 39184996
doi: 10.3389/fninf.2024.1461597
pmc: PMC11342446
doi:

Types de publication

Published Erratum

Langues

eng

Pagination

1461597

Commentaires et corrections

Type : ErratumFor

Informations de copyright

Copyright © 2024 Kaster, Czappa, Butz-Ostendorf and Wolf.

Auteurs

Marvin Kaster (M)

Laboratory for Parallel Programming, Department of Computer Science, Technical University of Darmstadt, Darmstadt, Germany.

Fabian Czappa (F)

Laboratory for Parallel Programming, Department of Computer Science, Technical University of Darmstadt, Darmstadt, Germany.

Markus Butz-Ostendorf (M)

Laboratory for Parallel Programming, Department of Computer Science, Technical University of Darmstadt, Darmstadt, Germany.
Data Science, Translational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany.

Felix Wolf (F)

Laboratory for Parallel Programming, Department of Computer Science, Technical University of Darmstadt, Darmstadt, Germany.

Classifications MeSH