Engineered cortical microcircuits for investigations of neuroplasticity.


Journal

Lab on a chip
ISSN: 1473-0189
Titre abrégé: Lab Chip
Pays: England
ID NLM: 101128948

Informations de publication

Date de publication:
12 Sep 2024
Historique:
medline: 12 9 2024
pubmed: 12 9 2024
entrez: 12 9 2024
Statut: aheadofprint

Résumé

Recent advances in neural engineering have opened new ways to investigate the impact of topology on neural network function. Leveraging microfluidic technologies, it is possible to establish modular circuit motifs that promote both segregation and integration of information processing in the engineered neural networks, similar to those observed

Identifiants

pubmed: 39264326
doi: 10.1039/d4lc00546e
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Nicolai Winter-Hjelm (N)

Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Norway. nicolai.winter-hjelm@ntnu.no.

Pawel Sikorski (P)

Department of Physics, Faculty of Natural Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.

Axel Sandvig (A)

Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Norway. nicolai.winter-hjelm@ntnu.no.
Department of Neurology and Clinical Neurophysiology, St. Olavs University Hospital, Trondheim, Norway.

Ioanna Sandvig (I)

Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Norway. nicolai.winter-hjelm@ntnu.no.

Classifications MeSH