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some issues about this #1

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SeaEastXu opened this issue May 20, 2020 · 3 comments
Open

some issues about this #1

SeaEastXu opened this issue May 20, 2020 · 3 comments

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@SeaEastXu
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SeaEastXu commented May 20, 2020

hi.
I'm trying to verify your code . I have some issues:

1.no module:nengo.utils.function_space
in nengo_posecells_fs.py and some other python files.
I have read user guide of nengo,but I haven't seen that function or module.
2.how to import dvs data into posecells, and export experience map? I haven't seen the code about that.
3. "F. Galluppi et al., "Live Demo: Spiking ratSLAM: Rat hippocampus cells in spiking neural hardware," 2012 IEEE Biomedical Circuits and Systems Conference (BioCAS), Hsinchu, 2012, pp. 91-91, doi: 10.1109/BioCAS.2012.6418493."
Is it your paper related to this code?do u have more experiment detail or papers?
thank you

@SeaEastXu SeaEastXu changed the title some questions about this some issues about this May 20, 2020
@bjkomer
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bjkomer commented May 20, 2020

  1. nengo.utils.function_space was some experimental code that I don't think ever made it to the master branch. You can find that code here.
  2. This code was just for a course project, the original plan was to use dvs data, but due to lack of time I ended up sticking with regular video and odometry. The code is just for a posecell network in spiking neurons that communicates to the other components using ROS. I believe I used OpenRatSLAM for the other components, so the experience map is created there.
  3. That is unrelated to this code. I'm not familiar with the details of that work, but I think they used a different approach.

It's been a while so I don't remember the details on how things were run. I know I made three variants of the posecell network, and this one was most successful. If I find a copy of my project report I'll upload it, in case that helps.

@SeaEastXu
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Thanks for your reply.
So do you use nengo to realise spiking neurons function in pose cell network?

@bjkomer
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bjkomer commented Jun 1, 2020

Yes, Nengo is used for the spiking neural network.

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