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Enh: example description
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Co-authored-by: Nicholas Tolley <55253912+ntolley@users.noreply.github.com>
Signed-off-by: samadpls <abdulsamadsid1@gmail.com>
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samadpls and ntolley committed Sep 10, 2024
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6 changes: 3 additions & 3 deletions examples/howto/sbi_hnncore_tutorial.py
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Expand Up @@ -68,7 +68,7 @@ def set_params(param_values, net=None):

###############################################################################
# Here, we generate our parameter grid and run the simulations. We're varying
# the 'weight_pyr' parameter between 10^-4 and 10^-1.
# the 'weight_pyr' parameter between 1e-4 and 1e-1.


val = np.linspace(-4, -1, n_simulations)
Expand Down Expand Up @@ -102,8 +102,8 @@ def extract_dipole_data(sim_results):
dipole_data = extract_dipole_data(simulation_results)

###############################################################################
# Now we prepare our data for the SBI algorithm. 'thetas' are our parameters,
# and 'xs' are our observed data (the dipole activity). These will be used by
# Now we prepare our data for the SBI algorithm. `thetas` are our parameters,
# and `xs` are our observed data (the dipole activity). These will be used by
# the SBI algorithm to learn the relationship between parameters and
# the resulting neural activity.

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