Zhu, Feng, Grier, Harrison A., Tandon, Raghav, Cai, Changjia, Agarwal, Anjali, Giovannucci, Andrea, Kaufman, Matthew T., and Pandarinath, Chethan. A deep learning framework for inference of single-trial neural population dynamics from calcium imaging with subframe temporal resolution. Retrieved from https://par.nsf.gov/biblio/10386446. Nature Neuroscience 25.12 Web. doi:10.1038/s41593-022-01189-0.

Zhu, Feng, Grier, Harrison A., Tandon, Raghav, Cai, Changjia, Agarwal, Anjali, Giovannucci, Andrea, Kaufman, Matthew T., & Pandarinath, Chethan. A deep learning framework for inference of single-trial neural population dynamics from calcium imaging with subframe temporal resolution. Nature Neuroscience, 25 (12). Retrieved from https://par.nsf.gov/biblio/10386446. https://doi.org/10.1038/s41593-022-01189-0

Zhu, Feng, Grier, Harrison A., Tandon, Raghav, Cai, Changjia, Agarwal, Anjali, Giovannucci, Andrea, Kaufman, Matthew T., and Pandarinath, Chethan. "A deep learning framework for inference of single-trial neural population dynamics from calcium imaging with subframe temporal resolution". Nature Neuroscience 25 (12). Country unknown/Code not available. https://doi.org/10.1038/s41593-022-01189-0. https://par.nsf.gov/biblio/10386446.

@article{osti_10386446,
place = {Country unknown/Code not available}, title = {A deep learning framework for inference of single-trial neural population dynamics from calcium imaging with subframe temporal resolution}, url = {https://par.nsf.gov/biblio/10386446}, DOI = {10.1038/s41593-022-01189-0}, abstractNote = {}, journal = {Nature Neuroscience}, volume = {25}, number = {12}, author = {Zhu, Feng and Grier, Harrison A. and Tandon, Raghav and Cai, Changjia and Agarwal, Anjali and Giovannucci, Andrea and Kaufman, Matthew T. and Pandarinath, Chethan}, }