ArticleNature neuroscience2025
Rapid learning of neural circuitry from holographic ensemble stimulation enabled by model-based compressed sensing.
Article in Nature neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- The Importance of Synchrony in the Neural Control of Movement.bioRxiv : the preprint server for biology · 2026Article
- STIMscope: centimeter-scale all-optical imaging and patterned optogenetic manipulation at single-cell resolution.bioRxiv : the preprint server for biology · 2026Article
- Single-Cell Perturbations Reveal Selective Modulation of Causal Connectivity During Decision-Making.bioRxiv : the preprint server for biology · 2026Article
- Computational optimization of two-photon holographic stimulation sitesJournal of neural engineering · 2026Article
- Biologically-constrained spiking neural network for neuromodulation in locomotor recovery after spinal cord injury.PLoS computational biology · 2026Article
- High-throughput synaptic connectivity mapping using in vivo two-photon holographic optogenetics and compressive sensing.Nature neuroscience · 2025Article
- Exact linear theory of perturbation response in a space- and feature-dependent cortical circuit model.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Fast photostimulus optimization for holographic control of neural ensemble activitybioRxiv : the preprint server for biology · 2025Article
- Multiphoton Neurophotonics: Recent Advances in Imaging and Manipulating Neuronal Circuits.ACS photonics · 2025Review
- Exact linear theory of perturbation response in a space- and feature-dependent cortical circuit model.bioRxiv : the preprint server for biology · 2025Article
- Removing direct photocurrent artifacts in optogenetic connectivity mapping data via constrained matrix factorization.PLoS computational biology · 2024Article
- Bayesian target optimisation for high-precision holographic optogenetics.bioRxiv : the preprint server for biology · 2023Article
- Compressive sensing of functional connectivity maps from patterned optogenetic stimulation of neuronal ensembles.Patterns (New York, N.Y.) · 2023Article
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Authors and funding
6 authors.
Funding
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 stimulating many neurons at once, greatly increasing mapping efficiency. Second, we developed a deep-learning method that isolates the postsynaptic response to each stimulus, allowing stimulation to rapidly switch between ensembles without waiting for the postsynaptic response to return to baseline. Together, our system increases the throughput of connectivity mapping by an order of magnitude, facilitating discovery of the circuitry underlying neural computations.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.