Adam Charles
@baselesspursuit.bsky.social
Computational neuroscience, image processing, data science, and cybernetics. Assistant Professor at Johns Hopkins Biomedical Engineering
My kids only color in the most prestigious of coloring books
December 24, 2024 at 9:52 PM
My kids only color in the most prestigious of coloring books
We find similar results for real datasets including CA1 data from the original SEUDO paper, and visual cortical data, and verify on these datasets that realSEUDO maintains the ability to remove the false transients.
December 11, 2024 at 2:23 PM
We find similar results for real datasets including CA1 data from the original SEUDO paper, and visual cortical data, and verify on these datasets that realSEUDO maintains the ability to remove the false transients.
On simulated data using the NAOMi calcium imaging simulator (pubmed.ncbi.nlm.nih.gov/33839190/) we find that realSEUDO is as accurate as offline (CaImAn) and previous online (On-ACID) methods despite 1) being much faster (processing at ~60 Hz) and 2) not needing a "warm-start" as with On-ACID
December 11, 2024 at 2:23 PM
On simulated data using the NAOMi calcium imaging simulator (pubmed.ncbi.nlm.nih.gov/33839190/) we find that realSEUDO is as accurate as offline (CaImAn) and previous online (On-ACID) methods despite 1) being much faster (processing at ~60 Hz) and 2) not needing a "warm-start" as with On-ACID
Specifically we:
1) optimized a fast C++ SEUDO implementation
2) optimized and streamlined the SEUDO model
3) developed a cell-finding extension that takes the estimated unknown cells from SEUDO to update the set of found cells intelligently
4) developed a patch-based parallelization
1) optimized a fast C++ SEUDO implementation
2) optimized and streamlined the SEUDO model
3) developed a cell-finding extension that takes the estimated unknown cells from SEUDO to update the set of found cells intelligently
4) developed a patch-based parallelization
December 11, 2024 at 2:23 PM
Specifically we:
1) optimized a fast C++ SEUDO implementation
2) optimized and streamlined the SEUDO model
3) developed a cell-finding extension that takes the estimated unknown cells from SEUDO to update the set of found cells intelligently
4) developed a patch-based parallelization
1) optimized a fast C++ SEUDO implementation
2) optimized and streamlined the SEUDO model
3) developed a cell-finding extension that takes the estimated unknown cells from SEUDO to update the set of found cells intelligently
4) developed a patch-based parallelization
reading the literature....
November 15, 2024 at 1:05 AM
reading the literature....
Here's a handy chart!
September 18, 2023 at 5:46 PM
Here's a handy chart!