Algebraic approach for subspace decomposition and clustering of neural activity

Autor: Elie M. Adam, Mriganka Sur
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: STAR Protocols, Vol 3, Iss 4, Pp 101841- (2022)
Druh dokumentu: article
ISSN: 2666-1667
DOI: 10.1016/j.xpro.2022.101841
Popis: Summary: We developed an approach to decompose neuronal signals into disjoint components, corresponding to task- or event-based epochs. This protocol describes how to project behavioral templates onto a low-dimensional subspace of neuronal responses to derive neuronal templates, then how to decompose and cluster neuronal responses using these derived templates. We outline these steps on complementary datasets of calcium imaging and spiking activity. Our approach relies on fundamental, linear algebraic principles and is adaptive to the temporal structure of the neural data.For complete details on the use and execution of this protocol, please refer to Adam et al. (2022).1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
Databáze: Directory of Open Access Journals