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Precisely defining the roles of specific cell types is an intriguing and challenging frontier in the study of intact biological systems, and has stimulated the rapid development of genetically-encoded observation and control tools. However, targeting these tools with adequate specificity remains challenging: most cell types are best defined by the intersection of two or more features such as active promoter elements, location, and connectivity. Here we have combined recombinase tools with engineered introns to achieve expression of genetically-encoded payloads conditional upon multiple cell-type features, using Boolean logical operations all governed by a single versatile vector. We use this approach to target intersectionally-specified populations of inhibitory interneurons in mammalian hippocampus and neurons of the ventral tegmental area defined by both genetic and wiring properties. This flexible and modular approach may expand the application of genetically-encoded interventional and observational tools for intact-systems biology.

Diverse optogenetic tools have allowed versatile control over neural activity. Many depolarizing and hyperpolarizing tools have now been developed in multiple laboratories and tested across different preparations, presenting opportunities but also making it difficult to draw direct comparisons. This challenge has been compounded by the dependence of performance on parameters such as vector, promoter, expression time, illumination, cell type and many other variables. As a result, it has become increasingly complicated for end users to select the optimal reagents for their experimental needs. For a rapidly growing field, critical figures of merit should be formalized both to establish a framework for further development and so that end users can readily understand how these standardized parameters translate into performance. Here we systematically compared microbial opsins under matched experimental conditions to extract essential principles and identify key parameters for the conduct, design and interpretation of experiments involving optogenetic techniques.