Confusing time stamps in TemporalFilter imshow function
weiwei2027 opened this issue · 0 comments
Hello, maintainers, thank you for contributing this great work to BMTK.
I have some questions that I would like to ask for help. When I refer to the document (https://alleninstitute.github.io/bmtk/tutorial_filter_models.html) to learn how to use the filter model, I find that the timestamps displayed by the TemporalFilter imshow function are confusing. There are two graphs with similar response characteristics but different timestamps, and the one generated by the BMTK code is probably the wrong one because the response characteristics are even less similar to those in the paper.
paper
Durand, S., Iyer, R., Mizuseki, K., Vries, S. de, Mihalas, S., & Reid, R. C. (2016). A Comparison of Visual Response Properties in the Lateral Geniculate Nucleus and Primary Visual Cortex of Awake and Anesthetized Mice. Journal of Neuroscience, 36(48), 12144–12156. https://doi.org/10.1523/JNEUROSCI.1741-16.2016
Reproduce code
from bmtk.simulator.filternet.lgnmodel.temporalfilter import TemporalFilterCosineBump
tf = TemporalFilterCosineBump(weights=[30, -20], kpeaks=[50, 100], delays=[0.0, 0.0])
tf.imshow()
Question
Is this a bug, should I use negative values for timestamps?