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A Deeper review of simulable objects: Axons, Fascicles and nerves ================================================================= -currently writting it! +From the user perspective, Simulable objects in NRV includes: axons fibers, fascicles and whole nerves. Any NRV simulation is triggered using a common method called *simulate()*. Generating simple to complex stimuli ==================================== diff --git a/nrv/_misc/log/NRV.log b/nrv/_misc/log/NRV.log index 508bc4eb..c243d903 100644 --- a/nrv/_misc/log/NRV.log +++ b/nrv/_misc/log/NRV.log @@ -23,3 +23,9 @@ 2024-01-10 14:48:13,076 - /Users/fkolbl/Library/CloudStorage/Dropbox/01_CODE/NRV/nrv/nmod/fascicle_generator.py:712: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. @numba.jit(fastmath=True, cache=True) +2024-01-11 14:11:23,105 - /Users/fkolbl/Library/CloudStorage/Dropbox/01_CODE/NRV/nrv/nmod/fascicle_generator.py:712: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. + @numba.jit(fastmath=True, cache=True) + +2024-01-11 14:11:26,052 - /Users/fkolbl/Library/CloudStorage/Dropbox/01_CODE/NRV/nrv/nmod/fascicle_generator.py:712: NumbaDeprecationWarning: The 'nopython' keyword argument was not supplied to the 'numba.jit' decorator. The implicit default value for this argument is currently False, but it will be changed to True in Numba 0.59.0. See https://numba.readthedocs.io/en/stable/reference/deprecation.html#deprecation-of-object-mode-fall-back-behaviour-when-using-jit for details. + @numba.jit(fastmath=True, cache=True) +

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