Rapid learning of neural circuitry from holographic ensemble stimulation enabled by model-based compressed sensing.

ABSTRACT: Discovering how computations are implemented in the brain at the level of monosynaptic connectivity requires probing for connections from potentially thousands of presynaptic candidate neurons. Two-photon optogenetics is a promising technology for mapping such connectivity via sequential stimulation of individual neurons while recording postsynaptic responses intracellularly. However, this technique is currently not scalable because stimulating neurons one by one requires prohibitively long experiments. Here we developed novel computational tools that, when combined, enable learning of monosynaptic connectivity from high-speed holographic ensemble stimulation. First, we developed a model-based compressed sensing algorithm that identifies connections from postsynaptic responses evoked by st

SUBMITTER: Triplett MA 

PROVIDER: S-EPMC12497653 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature