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jmxpearson merged 1 commit into from
Nov 9, 2026
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Use canonical NeurIPS URL for research-page paper link #64

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2 changes: 1 addition & 1 deletion _data/research.yml
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Expand Up @@ -34,7 +34,7 @@
model, and manipulate brain activity, with
[Eva Naumann's lab](https://www.neuro.duke.edu/research/faculty-labs/naumann-lab).
body: |
Together with [Eva Naumann's](https://www.neuro.duke.edu/research/faculty-labs/naumann-lab) lab, we've developed *[improv](https://github.com/project-improv/improv)* ([paper](https://www.biorxiv.org/content/10.1101/2021.02.22.432006v1)), a software platform for designing and orchestrating adaptive experiments. By analyzing data in real time, we can measure, model, and manipulate neural activity in response to new data. We've shown how these tools, in conjunction with holographic photostimulation, could in principle map functional connectivity of large circuits in a few hours ([paper](https://proceedings.nips.cc/paper/2020/file/531d29a813ef9471aad0a5558d449a73-Paper.pdf), [expanded version](https://arxiv.org/abs/2007.13911)). More recently, we've worked on methods for fast dimensionality reduction and modeling of neural populations in real time ([paper](https://arxiv.org/abs/2108.13941)).
Together with [Eva Naumann's](https://www.neuro.duke.edu/research/faculty-labs/naumann-lab) lab, we've developed *[improv](https://github.com/project-improv/improv)* ([paper](https://www.biorxiv.org/content/10.1101/2021.02.22.432006v1)), a software platform for designing and orchestrating adaptive experiments. By analyzing data in real time, we can measure, model, and manipulate neural activity in response to new data. We've shown how these tools, in conjunction with holographic photostimulation, could in principle map functional connectivity of large circuits in a few hours ([paper](https://proceedings.neurips.cc/paper_files/paper/2020/hash/531d29a813ef9471aad0a5558d449a73-Abstract.html), [expanded version](https://arxiv.org/abs/2007.13911)). More recently, we've worked on methods for fast dimensionality reduction and modeling of neural populations in real time ([paper](https://arxiv.org/abs/2108.13941)).

<figure>
<img src="/images/pipelineNewpng3.png" class="img-fluid" alt="Closed-loop pipeline concept">
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