Removing direct photocurrent artifacts in optogenetic connectivity mapping data via constrained matrix factorization.

ABSTRACT: Monosynaptic connectivity mapping is crucial for building circuit-level models of neural computation. Two-photon optogenetic stimulation, when combined with whole-cell recording, enables large-scale mapping of physiological circuit parameters. In this experimental setup, recorded postsynaptic currents are used to infer the presence and strength of connections. For many cell types, nearby connections are those we expect to be strongest. However, when the postsynaptic cell expresses opsin, optical excitation of nearby cells can induce direct photocurrents in the postsynaptic cell. These photocurrent artifacts contaminate synaptic currents, making it difficult or impossible to probe connectivity for nearby cells. To overcome this problem, we developed a computational tool, Photocurrent Remova

SUBMITTER: Antin B 

PROVIDER: S-EPMC11098512 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature