Marcus Triplett
@marcustriplett.bsky.social
Computational neuroscience postdoc in Paninski lab @ Columbia | neural circuit mapping, holographic optogenetics, machine learning
Pinned
A pair of papers on using holographic optogenetics and compressed sensing for connectomics:
Rapid learning of neural circuitry from holographic ensemble stimulation enabled by model-based compressed sensing
www.nature.com/articles/s41...
Rapid learning of neural circuitry from holographic ensemble stimulation enabled by model-based compressed sensing
www.nature.com/articles/s41...
Rapid learning of neural circuitry from holographic ensemble stimulation enabled by model-based compressed sensing - Nature Neuroscience
The authors develop a new computational system for high-throughput mapping of synaptic connectivity using two-photon holographic optogenetics and intracellular recordings.
www.nature.com
Very happy for this to finally be published! We developed new machine learning methods for scalable mapping of synaptic connectivity using holographic optogenetics and compressed sensing.
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Reposted by Marcus Triplett
Our new paper in @natcomms.nature.com introduces improv, a flexible software platform that integrates models with experiments in real-time. Traditional experiments collect all data first, then analyze it later. With improv, models analyze data as it streams in and actively guide what to do next.
November 13, 2025 at 3:45 PM
Our new paper in @natcomms.nature.com introduces improv, a flexible software platform that integrates models with experiments in real-time. Traditional experiments collect all data first, then analyze it later. With improv, models analyze data as it streams in and actively guide what to do next.
Very happy for this to finally be published! We developed new machine learning methods for scalable mapping of synaptic connectivity using holographic optogenetics and compressed sensing.
www.nature.com/articles/s41...
www.nature.com/articles/s41...
A pair of papers on using holographic optogenetics and compressed sensing for connectomics:
Rapid learning of neural circuitry from holographic ensemble stimulation enabled by model-based compressed sensing
www.nature.com/articles/s41...
Rapid learning of neural circuitry from holographic ensemble stimulation enabled by model-based compressed sensing
www.nature.com/articles/s41...
Rapid learning of neural circuitry from holographic ensemble stimulation enabled by model-based compressed sensing - Nature Neuroscience
The authors develop a new computational system for high-throughput mapping of synaptic connectivity using two-photon holographic optogenetics and intracellular recordings.
www.nature.com
September 29, 2025 at 7:26 PM
Very happy for this to finally be published! We developed new machine learning methods for scalable mapping of synaptic connectivity using holographic optogenetics and compressed sensing.
www.nature.com/articles/s41...
www.nature.com/articles/s41...